Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...最新文献
Software-defined metamaterials (SDMs) represent a novel paradigm for real-time control of metamaterials. SDMs are envisioned to enable a variety of exciting applications in the domains such as smart textiles and sensing in challenging conditions. Many of these applications envisage deformations of the SDM structure (e.g., rolling, bending, stretching). This affects the relative position of the metamaterial elements and requires their localization relative to each other. The question of how to perform such localization is, however, yet to spark in the community. We consider that the metamaterial elements are controlled wirelessly through a Terahertz (THz)-operating nanonetwork. Moreover, we consider the elements to be energy constrained, with their sole powering option being to harvest environmental energy. For such a setup, we demonstrate sub-millimeter accuracy of the two-way Time of Flight (ToF)-based localization, as well as high availability of the service (i.e., consistently more than 80% of the time), which is a result of the low energy consumed in localization. Finally, we provide the localization context for a number of relevant system parameters such as operational frequency, bandwidth, and harvesting rate.
{"title":"Toward localization in terahertz-operating energy harvesting software-defined metamaterials: context analysis","authors":"Filip Lemic, S. Abadal, J. Famaey","doi":"10.1145/3411295.3411315","DOIUrl":"https://doi.org/10.1145/3411295.3411315","url":null,"abstract":"Software-defined metamaterials (SDMs) represent a novel paradigm for real-time control of metamaterials. SDMs are envisioned to enable a variety of exciting applications in the domains such as smart textiles and sensing in challenging conditions. Many of these applications envisage deformations of the SDM structure (e.g., rolling, bending, stretching). This affects the relative position of the metamaterial elements and requires their localization relative to each other. The question of how to perform such localization is, however, yet to spark in the community. We consider that the metamaterial elements are controlled wirelessly through a Terahertz (THz)-operating nanonetwork. Moreover, we consider the elements to be energy constrained, with their sole powering option being to harvest environmental energy. For such a setup, we demonstrate sub-millimeter accuracy of the two-way Time of Flight (ToF)-based localization, as well as high availability of the service (i.e., consistently more than 80% of the time), which is a result of the low energy consumed in localization. Finally, we provide the localization context for a number of relevant system parameters such as operational frequency, bandwidth, and harvesting rate.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73729527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shinya Ishiyama, T. Nakano, Yutaka Okaie, Takahiro Hara, K. Harumoto
In this paper, we propose a molecular communication system where bio-nanomachines cooperate in signaling and move directionally toward a target area in the environment. In the proposed system, bio-nanomachines, upon entering a target area, release signal molecules in pulses, and nearby bio-nanomachines respond to the signal molecules by further releasing signal molecules in pulses. When bio-nanomachines are distributed around a target area, signal molecules propagate over long distance as a traveling wave in the environment, where the direction of a traveling wave encodes the location information about a target area. Bio-nanomachines outside a target area implement the relay-and-stop mechanism; they relay signal molecules and stop for a short period of time in order to bias their motion toward a target area based on the direction of a traveling wave. Numerical results show that the proposed system outperforms existing systems in terms of the number of bio-nanomachines that move closer to target areas. Application of the proposed system is anticipated to improve the performance of cooperative drug delivery using bio-nanomachines.
{"title":"Cooperative signaling and directed migration of bio-nanomachines in mobile molecular communication","authors":"Shinya Ishiyama, T. Nakano, Yutaka Okaie, Takahiro Hara, K. Harumoto","doi":"10.1145/3411295.3411299","DOIUrl":"https://doi.org/10.1145/3411295.3411299","url":null,"abstract":"In this paper, we propose a molecular communication system where bio-nanomachines cooperate in signaling and move directionally toward a target area in the environment. In the proposed system, bio-nanomachines, upon entering a target area, release signal molecules in pulses, and nearby bio-nanomachines respond to the signal molecules by further releasing signal molecules in pulses. When bio-nanomachines are distributed around a target area, signal molecules propagate over long distance as a traveling wave in the environment, where the direction of a traveling wave encodes the location information about a target area. Bio-nanomachines outside a target area implement the relay-and-stop mechanism; they relay signal molecules and stop for a short period of time in order to bias their motion toward a target area based on the direction of a traveling wave. Numerical results show that the proposed system outperforms existing systems in terms of the number of bio-nanomachines that move closer to target areas. Application of the proposed system is anticipated to improve the performance of cooperative drug delivery using bio-nanomachines.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83108043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Regonesi, M. Rapisarda, M. Magarini, M. Ferrari
The design of molecular communication systems over a diffusive channel has been extensively studied under the hypothesis of a point-wise transmitter and one receiving cell that absorbs molecules from the environment. Recent works have extended this scenario by including also the effect of one, or more, interfering cells that introduce a perturbation in the number of molecules absorbed by the target receiving cell. In this paper we exploit such a perturbation to estimate the relative angle under which the receiver sees the interferer with respect to the transmitter. The mean-squared error of the relative angle estimation is reported for different distances between interferer and receiver. As a main result, we show that the interfering cell introduces two effects, namely "blocking" and "shadowing", that strongly affect the angle assessment. Simulation results are supported by the derivation of an analytical model that is able to make a good prediction of the average number of molecules absorbed by the target receiver as a function of the position of the interferer. Our numerical results show that, for the selected hypotheses, the best performance for the angle estimation is achieved when it is around 30°.
{"title":"Relative angle estimation of an interferer in a diffusion-based molecular communication system","authors":"E. Regonesi, M. Rapisarda, M. Magarini, M. Ferrari","doi":"10.1145/3411295.3411310","DOIUrl":"https://doi.org/10.1145/3411295.3411310","url":null,"abstract":"The design of molecular communication systems over a diffusive channel has been extensively studied under the hypothesis of a point-wise transmitter and one receiving cell that absorbs molecules from the environment. Recent works have extended this scenario by including also the effect of one, or more, interfering cells that introduce a perturbation in the number of molecules absorbed by the target receiving cell. In this paper we exploit such a perturbation to estimate the relative angle under which the receiver sees the interferer with respect to the transmitter. The mean-squared error of the relative angle estimation is reported for different distances between interferer and receiver. As a main result, we show that the interfering cell introduces two effects, namely \"blocking\" and \"shadowing\", that strongly affect the angle assessment. Simulation results are supported by the derivation of an analytical model that is able to make a good prediction of the average number of molecules absorbed by the target receiver as a function of the position of the interferer. Our numerical results show that, for the selected hypotheses, the best performance for the angle estimation is achieved when it is around 30°.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87160709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anke Kuestner, Lukas Stratmann, R. Wendt, S. Fischer, F. Dressler
We present a novel simulation framework bridging the gap between in-body nano communication and out-of-body body area network (BAN). We assume nanobots freely flowing within the blood system. Their mobility can be modeled using the BloodVoyagerS module. The communication channels are modeled using proximity (nanobot to nanobot), proximity and ultrasonic communication (nanobot to a gateway), and standard IEEE 802.15.4 for BAN communication. In our simulation framework, we rely on ns-3 to model all the three independent communication channels to, for the first time, study the end-to-end communication performance from nanobots to a connected host system. We consider the system a fundamental basis for more advanced studies of such integrated and very heterogeneous communication systems.
{"title":"A simulation framework for connecting in-body nano communication with out-of-body devices","authors":"Anke Kuestner, Lukas Stratmann, R. Wendt, S. Fischer, F. Dressler","doi":"10.1145/3411295.3411308","DOIUrl":"https://doi.org/10.1145/3411295.3411308","url":null,"abstract":"We present a novel simulation framework bridging the gap between in-body nano communication and out-of-body body area network (BAN). We assume nanobots freely flowing within the blood system. Their mobility can be modeled using the BloodVoyagerS module. The communication channels are modeled using proximity (nanobot to nanobot), proximity and ultrasonic communication (nanobot to a gateway), and standard IEEE 802.15.4 for BAN communication. In our simulation framework, we rely on ns-3 to model all the three independent communication channels to, for the first time, study the end-to-end communication performance from nanobots to a connected host system. We consider the system a fundamental basis for more advanced studies of such integrated and very heterogeneous communication systems.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91477720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sunasheer Bhattacharjee, Martin Damrath, P. Hoeher
A proof of concept for a macroscopic air-based molecular communication testbed is presented using fluorescein. The compound in solution state when excited by ultra-violet light, acts as information carrier between a sprayer (transmitter) and a camera (receiver). Relatively higher data rates can be achieved compared to traditional air-based testbeds using alcohol. Implemented modulation schemes include on-off keying, pulse position modulation and differential pulse position modulation, which showcase the efficacy of the system in terms of achievable data transmission rates.
{"title":"Design of macroscopic air-based molecular communication concept using fluorescein","authors":"Sunasheer Bhattacharjee, Martin Damrath, P. Hoeher","doi":"10.1145/3411295.3411303","DOIUrl":"https://doi.org/10.1145/3411295.3411303","url":null,"abstract":"A proof of concept for a macroscopic air-based molecular communication testbed is presented using fluorescein. The compound in solution state when excited by ultra-violet light, acts as information carrier between a sprayer (transmitter) and a camera (receiver). Relatively higher data rates can be achieved compared to traditional air-based testbeds using alcohol. Implemented modulation schemes include on-off keying, pulse position modulation and differential pulse position modulation, which showcase the efficacy of the system in terms of achievable data transmission rates.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84316682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yesenia Cevallos, Luis Tello-Oquendo, Deysi Inca, Nicolay Samaniego, Ivone Santillán, A. Shirazi, Guillermo A. Gomez
Deoxyribonucleic acid (DNA), the life molecule, is composed of four nucleotides: Adenine, Guanine, Cytosine, and Thymine. The combinations of these nucleotides in the DNA encode the 20 amino acids that generate the structure of living organisms. These discrete components, jointly with the characteristics and functions of DNA, allow understanding the DNA as a digital component. Thus, when DNA is considered an organic digital memory, it becomes a compelling data storage medium given its superior density, stability, energy efficiency, longevity, and lack of foreseeable technical obsolescence compared with conventional electronic media. Various challenging experiments have demonstrated that digital information can be written in DNA, stored, and accurately read. Besides, due to the digital DNA nature, there is a trend to associate the DNA information (6 bits per amino acid) with typical digital codes for information representation (8 bits). Therefore, we propose to use a series of 48 bits to encode the digital information of a host into DNA representation. This representation is appropriate in end-to-end digital communication systems since (i) it introduces a digital code regardless of the computer's architecture, and (ii) it can be used as a "common format" for "bio host-bio transmitter" with both the advantages of DNA as a storage medium and the effective methods to compress DNA information to save the transmission medium bandwidth.
{"title":"On the efficient digital code representation in DNA-based data storage","authors":"Yesenia Cevallos, Luis Tello-Oquendo, Deysi Inca, Nicolay Samaniego, Ivone Santillán, A. Shirazi, Guillermo A. Gomez","doi":"10.1145/3411295.3411314","DOIUrl":"https://doi.org/10.1145/3411295.3411314","url":null,"abstract":"Deoxyribonucleic acid (DNA), the life molecule, is composed of four nucleotides: Adenine, Guanine, Cytosine, and Thymine. The combinations of these nucleotides in the DNA encode the 20 amino acids that generate the structure of living organisms. These discrete components, jointly with the characteristics and functions of DNA, allow understanding the DNA as a digital component. Thus, when DNA is considered an organic digital memory, it becomes a compelling data storage medium given its superior density, stability, energy efficiency, longevity, and lack of foreseeable technical obsolescence compared with conventional electronic media. Various challenging experiments have demonstrated that digital information can be written in DNA, stored, and accurately read. Besides, due to the digital DNA nature, there is a trend to associate the DNA information (6 bits per amino acid) with typical digital codes for information representation (8 bits). Therefore, we propose to use a series of 48 bits to encode the digital information of a host into DNA representation. This representation is appropriate in end-to-end digital communication systems since (i) it introduces a digital code regardless of the computer's architecture, and (ii) it can be used as a \"common format\" for \"bio host-bio transmitter\" with both the advantages of DNA as a storage medium and the effective methods to compress DNA information to save the transmission medium bandwidth.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81327019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The high millimeter-Wave and Terahertz spectrum above 100 GHz will form the underpinning of a broad set of game-changing future technology including high resolution sensing, imaging, robotics, autonomous systems, and wireless communication. In the last decade, we have seen a tremendous surge in efforts towards enabling chip-scale technology to address signal generation and detection in the THz spectrum. However, there lie several fundamental challenges to translate these efforts into versatile technology that can operate in complex environments that requires properties such as dynamic reconfigurability and rapid adaptability. In this paper, we highlight a new design space that emerges by eliminating the classical block-by-bock design approach. The fundamental principle behind this approach is that the unique wavelength scale at THz (of the order of millimeter/sub-millimeter) is comparable to a typical chip dimension. This wavelength/chip dimension equivalence allows the chip to operate in a new electromagnetic (EM) regime with novel scattering and radiating properties, while the integrated active devices have the ability to actively synthesize, manipulate and sense THz EM fields at sub-wavelength scales. This approach opens up the a new design space that can break many of the trade-offs in the classical design regime. In this paper, we provide design examples that aims towards the ultimate programmable THz sensor/source in silicon-based chips that range from fully integrated chip-scale THz spectroscopes to programmable THz sensors, sources and spatio-temporal modulated arrays for physical layer security. These design examples serve to illustrate the unique opportunities enabled through such a holistic design approach.
{"title":"Terahertz to bits and bits to terahertz: universally programmable chip-scale terahertz systems","authors":"K. Sengupta, Xuyang Lu, S. Venkatesh, Xue Wu","doi":"10.1145/3411295.3411319","DOIUrl":"https://doi.org/10.1145/3411295.3411319","url":null,"abstract":"The high millimeter-Wave and Terahertz spectrum above 100 GHz will form the underpinning of a broad set of game-changing future technology including high resolution sensing, imaging, robotics, autonomous systems, and wireless communication. In the last decade, we have seen a tremendous surge in efforts towards enabling chip-scale technology to address signal generation and detection in the THz spectrum. However, there lie several fundamental challenges to translate these efforts into versatile technology that can operate in complex environments that requires properties such as dynamic reconfigurability and rapid adaptability. In this paper, we highlight a new design space that emerges by eliminating the classical block-by-bock design approach. The fundamental principle behind this approach is that the unique wavelength scale at THz (of the order of millimeter/sub-millimeter) is comparable to a typical chip dimension. This wavelength/chip dimension equivalence allows the chip to operate in a new electromagnetic (EM) regime with novel scattering and radiating properties, while the integrated active devices have the ability to actively synthesize, manipulate and sense THz EM fields at sub-wavelength scales. This approach opens up the a new design space that can break many of the trade-offs in the classical design regime. In this paper, we provide design examples that aims towards the ultimate programmable THz sensor/source in silicon-based chips that range from fully integrated chip-scale THz spectroscopes to programmable THz sensors, sources and spatio-temporal modulated arrays for physical layer security. These design examples serve to illustrate the unique opportunities enabled through such a holistic design approach.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86473083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Q. Fan, Jianan Bai, Hao-Hsuan Chang, Lianjun Li, Shiya Liu, Joe Huang, J. Burgess, A. Berlinsky, A. Pidwerbetsky, J. Ashdown, K. Turck, Lingjia Liu
Dynamic spectrum access (DSA) is a promising technology to increase the spectrum efficiency of Internet of Things (IoT) networks, where the traffic demand grows up dramatically recently. In this paper, an intelligent DSA-assisted IoT network is introduced, where we investigate the spectrum sensing through neuromorphic computing (NC) and spectrum access through genetic algorithm (GA)-based power allocation. To be specific, we apply the NC's unconventional computing architectures that exploit and harness the intrinsic dynamics for computation, and thus provide increased functionality with better spectrum sensing performance requiring significantly lower size, weight, and power budgets. Furthermore, we design a GA algorithm to intelligently search the desirable transmission power for multiple IoT devices sharing the same channel to enhance the capacity of the highly dynamic DSA-assisted IoT network. Extensive simulation results have demonstrated the benefits of NC and GA compared to other baseline algorithms and methodologies.
{"title":"Intelligent DSA-assisted clustered IoT networks: neuromorphic computing meets genetic algorithm","authors":"Q. Fan, Jianan Bai, Hao-Hsuan Chang, Lianjun Li, Shiya Liu, Joe Huang, J. Burgess, A. Berlinsky, A. Pidwerbetsky, J. Ashdown, K. Turck, Lingjia Liu","doi":"10.1145/3411295.3411320","DOIUrl":"https://doi.org/10.1145/3411295.3411320","url":null,"abstract":"Dynamic spectrum access (DSA) is a promising technology to increase the spectrum efficiency of Internet of Things (IoT) networks, where the traffic demand grows up dramatically recently. In this paper, an intelligent DSA-assisted IoT network is introduced, where we investigate the spectrum sensing through neuromorphic computing (NC) and spectrum access through genetic algorithm (GA)-based power allocation. To be specific, we apply the NC's unconventional computing architectures that exploit and harness the intrinsic dynamics for computation, and thus provide increased functionality with better spectrum sensing performance requiring significantly lower size, weight, and power budgets. Furthermore, we design a GA algorithm to intelligently search the desirable transmission power for multiple IoT devices sharing the same channel to enhance the capacity of the highly dynamic DSA-assisted IoT network. Extensive simulation results have demonstrated the benefits of NC and GA compared to other baseline algorithms and methodologies.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83776191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we present the concept of a complex framework, which is primarily designed to model and simulate the structures of and the processes in the human body and the interaction of nanobots with it. Medical nanobots are envisioned to perform their work in the body, for example by recognizing and destroying cancer cells. They are generally attributed an important role in a future precision medicine-based health system. It is crucial to simulate the use of nanobots in a human body before they are actually used. However, only with a comprehensive body simulation framework, like the presented medical holistic simulation architecture (MEHLISSA), it is possible to achieve meaningful results. As we model the human body as close to reality as feasible, this allows for reliable statements about the effectiveness and efficiency of the use of nanobots in vivo. To illustrate the advantages of an holistic simulation, we discuss the use case of metastasis prevention modelled in MEHLISSA.
{"title":"MEHLISSA","authors":"R. Wendt, Stefan Fischer","doi":"10.1145/3411295.3411305","DOIUrl":"https://doi.org/10.1145/3411295.3411305","url":null,"abstract":"In this paper, we present the concept of a complex framework, which is primarily designed to model and simulate the structures of and the processes in the human body and the interaction of nanobots with it. Medical nanobots are envisioned to perform their work in the body, for example by recognizing and destroying cancer cells. They are generally attributed an important role in a future precision medicine-based health system. It is crucial to simulate the use of nanobots in a human body before they are actually used. However, only with a comprehensive body simulation framework, like the presented medical holistic simulation architecture (MEHLISSA), it is possible to achieve meaningful results. As we model the human body as close to reality as feasible, this allows for reliable statements about the effectiveness and efficiency of the use of nanobots in vivo. To illustrate the advantages of an holistic simulation, we discuss the use case of metastasis prevention modelled in MEHLISSA.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74216703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abnormality detection is expected to become one of the most crucial tasks of molecular communications (MC) based nanoscale networks. This task involves the sensing, detection, and reporting of abnormal changes taking place in a fluid medium, which may typify a disease and disorder, by employing a network formed by collaborating nanoscale sensors. By assuming that the channel parameters are perfectly known or accurately estimated, currently available methods for the solution of the distributed collaborative detection problems require the entire statistical characterization of the communication channel between sensors and fusion centre (FC). However, apart from some ideal cases, analytical channel models for MC are usually mathematically complex or, in many cases, analytical channel models don't exist at all. Furthermore, the accurate estimation of channel parameters is a difficult problem, even in ideal cases, because of the slow and dispersive signal propagation characteristics encountered in MC channels. Therefore, this fundamental assumption, which existing methodologies are based on, may be unsuitable in practical nanoscale sensor network implementations. For the first time in the literature, this paper proposes to employ a machine learning approach in this detection task. Specifically, we propose a deep learning-based recurrent neural network structure for decision fusion, which learns from data. Our results show that this approach leads to detectors that can perform well without any knowledge of the channel model and its properties, providing robustness and flexibility to the detection task, which is not present in existing approaches.
{"title":"RNN based abnormality detection with nanoscale sensor networks using molecular communications","authors":"Sinem Nimet Solak, Mengüç Öner","doi":"10.1145/3411295.3411313","DOIUrl":"https://doi.org/10.1145/3411295.3411313","url":null,"abstract":"Abnormality detection is expected to become one of the most crucial tasks of molecular communications (MC) based nanoscale networks. This task involves the sensing, detection, and reporting of abnormal changes taking place in a fluid medium, which may typify a disease and disorder, by employing a network formed by collaborating nanoscale sensors. By assuming that the channel parameters are perfectly known or accurately estimated, currently available methods for the solution of the distributed collaborative detection problems require the entire statistical characterization of the communication channel between sensors and fusion centre (FC). However, apart from some ideal cases, analytical channel models for MC are usually mathematically complex or, in many cases, analytical channel models don't exist at all. Furthermore, the accurate estimation of channel parameters is a difficult problem, even in ideal cases, because of the slow and dispersive signal propagation characteristics encountered in MC channels. Therefore, this fundamental assumption, which existing methodologies are based on, may be unsuitable in practical nanoscale sensor network implementations. For the first time in the literature, this paper proposes to employ a machine learning approach in this detection task. Specifically, we propose a deep learning-based recurrent neural network structure for decision fusion, which learns from data. Our results show that this approach leads to detectors that can perform well without any knowledge of the channel model and its properties, providing robustness and flexibility to the detection task, which is not present in existing approaches.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82030201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...
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