Pub Date : 2018-06-01DOI: 10.1109/SECONW.2018.8396352
T. Suda, T. Nakano
This paper presents a new view of molecular communication, molecular communication as a biological system. It is built upon fluctuations and interactions of molecules, i.e., building blocks of molecular communication. This paper discusses how fluctuations and interactions of molecules give rise to the small, large and critical numbers of molecules in biological systems. This paper also discusses research challenges related to understanding fluctuations and interactions and to designing molecular communication as a biological system.
{"title":"Molecular Communication as a Biological System","authors":"T. Suda, T. Nakano","doi":"10.1109/SECONW.2018.8396352","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396352","url":null,"abstract":"This paper presents a new view of molecular communication, molecular communication as a biological system. It is built upon fluctuations and interactions of molecules, i.e., building blocks of molecular communication. This paper discusses how fluctuations and interactions of molecules give rise to the small, large and critical numbers of molecules in biological systems. This paper also discusses research challenges related to understanding fluctuations and interactions and to designing molecular communication as a biological system.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132527329","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}
Pub Date : 2018-06-01DOI: 10.1109/seconw.2018.8396336
{"title":"IWMBMC Welcome Message","authors":"","doi":"10.1109/seconw.2018.8396336","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396336","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133623262","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}
Pub Date : 2018-06-01DOI: 10.1109/seconw.2018.8396335
{"title":"CPC-UAV Program","authors":"","doi":"10.1109/seconw.2018.8396335","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396335","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134415539","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}
Pub Date : 2018-06-01DOI: 10.1109/seconw.2018.8396333
{"title":"CPC-UAV Committees","authors":"","doi":"10.1109/seconw.2018.8396333","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396333","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130789140","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}
Pub Date : 2018-06-01DOI: 10.1109/SECONW.2018.8396347
Himanshu Gupta
We envision a network of airborne video sensors (AVSs) being used for detection of unusual activities in emergency and disaster control situations, monitoring of unplanned events, etc. In this preliminary work, we address the problem of declarative specification and optimized evaluation of high-level video activities. In particular, we propose use of a declarative deductive framework, wherein high-level activities are defined in terms of the low-level events using deductive rules. Here, the low-level events are the primitive events generated at individual AVS nodes using computer vision techniques. In our envisioned system, the high-level activities are essentially translated into a distributed collection of AVS operations run on individual AVS nodes. We propose certain optimization opportunities that prune the set of targets being tracked or events being detected by an AVS node. In effect, our envisioned system can form a basis of macro-programming of AVS applications and automatic translation into energy-efficient distributed code.
{"title":"Deductive Approach to Processing High-Level Video Activity Queries in UAV Networks","authors":"Himanshu Gupta","doi":"10.1109/SECONW.2018.8396347","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396347","url":null,"abstract":"We envision a network of airborne video sensors (AVSs) being used for detection of unusual activities in emergency and disaster control situations, monitoring of unplanned events, etc. In this preliminary work, we address the problem of declarative specification and optimized evaluation of high-level video activities. In particular, we propose use of a declarative deductive framework, wherein high-level activities are defined in terms of the low-level events using deductive rules. Here, the low-level events are the primitive events generated at individual AVS nodes using computer vision techniques. In our envisioned system, the high-level activities are essentially translated into a distributed collection of AVS operations run on individual AVS nodes. We propose certain optimization opportunities that prune the set of targets being tracked or events being detected by an AVS node. In effect, our envisioned system can form a basis of macro-programming of AVS applications and automatic translation into energy-efficient distributed code.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123359283","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}
Pub Date : 2018-06-01DOI: 10.1109/SECONW.2018.8396358
Josyl Mariela B. Rocamora, I. W. Ho, M. Mak
Traditional IPS uses triangulation based on signal strength but its accuracy is impaired in non-line-of-sight (NLOS) situations. Among the available wireless technologies for indoor positioning, WiFi is a good candidate since it is supported by existing mobile devices and infrastructure indoors, and it can operate under both LOS and NLOS conditions. One of the cutting-edge WiFi-based localization techniques exploits time-reversal resonating strength (TRRS) of coherent channel frequency responses (CFR). The basic concept of CFR-based positioning is based on the similarity measure between the testing CFR and the pre-recorded CFR fingerprints. A common assumption in previous works is that the wireless channel is time invariant. In this paper, we study CFR-based positioning in a dynamic indoor environment. Using the collected channel response fingerprints for both LOS and NLOS scenarios, we exploit supervised machine learning techniques to enhance the processing speed while achieving high positioning accuracy under the effect of dynamic wireless channels.
{"title":"The Application of Machine Learning Techniques on Channel Frequency Response Based Indoor Positioning in Dynamic Environments","authors":"Josyl Mariela B. Rocamora, I. W. Ho, M. Mak","doi":"10.1109/SECONW.2018.8396358","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396358","url":null,"abstract":"Traditional IPS uses triangulation based on signal strength but its accuracy is impaired in non-line-of-sight (NLOS) situations. Among the available wireless technologies for indoor positioning, WiFi is a good candidate since it is supported by existing mobile devices and infrastructure indoors, and it can operate under both LOS and NLOS conditions. One of the cutting-edge WiFi-based localization techniques exploits time-reversal resonating strength (TRRS) of coherent channel frequency responses (CFR). The basic concept of CFR-based positioning is based on the similarity measure between the testing CFR and the pre-recorded CFR fingerprints. A common assumption in previous works is that the wireless channel is time invariant. In this paper, we study CFR-based positioning in a dynamic indoor environment. Using the collected channel response fingerprints for both LOS and NLOS scenarios, we exploit supervised machine learning techniques to enhance the processing speed while achieving high positioning accuracy under the effect of dynamic wireless channels.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124616795","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}
Pub Date : 2018-06-01DOI: 10.1109/seconw.2018.8396337
{"title":"IWMBMC Committees","authors":"","doi":"10.1109/seconw.2018.8396337","DOIUrl":"https://doi.org/10.1109/seconw.2018.8396337","url":null,"abstract":"","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125197585","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}
Pub Date : 2018-06-01DOI: 10.1109/SECONW.2018.8396343
Yusheng Xia, Jinshu Su, Rongmao Chen, Yaping Liu, Shuhui Chen
In future smart cities, the proliferation and mobility of smart devices will bring many challenges to efficient communication for the city-wide networking, including frequent link fluctuation and disconnection.GSTAR (Generalized storage-aware routing) has been a robust routing protocol that utilizes in-network storage to address these challenges. Unfortunately, the cache- and-forward mechanism adopted by GSTAR usually results in extra delay for storing real-time data, and thus makes it not applicable for some particular real- time applications, which crucially require low latency. Motivated by this problem, we propose a real-time aware strategy to reduce the total delay of time- sensitive data for real-time applications. Also, we specifically analyze the threshold to store and forward via mathematical modeling and access the rationality of associated parameters. Through NS3-based simulation, we show that our designed real-time aware strategy can decrease the average delay of time-sensitive data and prevent the block of time-insensitive data compared with other strategies.
{"title":"A Real-Time Aware Routing Strategy in Smart City Environments","authors":"Yusheng Xia, Jinshu Su, Rongmao Chen, Yaping Liu, Shuhui Chen","doi":"10.1109/SECONW.2018.8396343","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396343","url":null,"abstract":"In future smart cities, the proliferation and mobility of smart devices will bring many challenges to efficient communication for the city-wide networking, including frequent link fluctuation and disconnection.GSTAR (Generalized storage-aware routing) has been a robust routing protocol that utilizes in-network storage to address these challenges. Unfortunately, the cache- and-forward mechanism adopted by GSTAR usually results in extra delay for storing real-time data, and thus makes it not applicable for some particular real- time applications, which crucially require low latency. Motivated by this problem, we propose a real-time aware strategy to reduce the total delay of time- sensitive data for real-time applications. Also, we specifically analyze the threshold to store and forward via mathematical modeling and access the rationality of associated parameters. Through NS3-based simulation, we show that our designed real-time aware strategy can decrease the average delay of time-sensitive data and prevent the block of time-insensitive data compared with other strategies.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126317031","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}
Pub Date : 2018-06-01DOI: 10.1109/SECONW.2018.8396351
Aakanksha Chowdhery, M. Chiang
Drones will be increasingly deployed in surveillance scenarios, disaster zones, and remote areas. The videos collected from drone cameras provide site surveys, summaries, detect and track multiple targets. Today such videos are processed offline after the drone flight. Real- time processing provides several opportunities but has two key challenges - network bandwidth on the drone-to-server link is constrained and the computational capability of the drone processor is limited in terms of applying machine vision in real time. We propose a model predictive compression algorithm that uses predicted drone trajectory to select and transmit the most important image frames to the ground station to maximize the application utility while minimizing the network bandwidth use. The proposed compression scheme works in real-time on the drone processor because it estimates background motion without computing image features. To correct the model inaccuracies, the drone receives feedback from the ground station that can compute image features in real time. Evaluation results suggest that the proposed compression approach reduces network bandwidth overheads by 50-72 % while ensuring high-quality mosaics in the drone mosaicing application.
{"title":"Model Predictive Compression for Drone Video Analytics","authors":"Aakanksha Chowdhery, M. Chiang","doi":"10.1109/SECONW.2018.8396351","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396351","url":null,"abstract":"Drones will be increasingly deployed in surveillance scenarios, disaster zones, and remote areas. The videos collected from drone cameras provide site surveys, summaries, detect and track multiple targets. Today such videos are processed offline after the drone flight. Real- time processing provides several opportunities but has two key challenges - network bandwidth on the drone-to-server link is constrained and the computational capability of the drone processor is limited in terms of applying machine vision in real time. We propose a model predictive compression algorithm that uses predicted drone trajectory to select and transmit the most important image frames to the ground station to maximize the application utility while minimizing the network bandwidth use. The proposed compression scheme works in real-time on the drone processor because it estimates background motion without computing image features. To correct the model inaccuracies, the drone receives feedback from the ground station that can compute image features in real time. Evaluation results suggest that the proposed compression approach reduces network bandwidth overheads by 50-72 % while ensuring high-quality mosaics in the drone mosaicing application.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125898973","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}
Pub Date : 2018-06-01DOI: 10.1109/SECONW.2018.8396344
Zhan Luo, Lin Lin, Qi Fu, Hao Yan
Molecular communication is a promising communication paradigm for the applications of biomedical engineering, nano-material manufacturing, etc., at nano- to microscale. Measuring distance between nanomachines is critical for adaptive communication design or location-based functionalities. In this paper a novel effective distance estimation method is proposed. Two types of molecules are released by the transmitter nanomachine. Due to the different diffusivity of the different types of molecules, the receiver can estimate the distance. Synchronization between the transmitter and the receiver is not required. The simulation results demonstrate that the proposed scheme has a good performance in terms of accuracy and anti-noise ability.
{"title":"An Effective Distance Measurement Method for Molecular Communication Systems","authors":"Zhan Luo, Lin Lin, Qi Fu, Hao Yan","doi":"10.1109/SECONW.2018.8396344","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396344","url":null,"abstract":"Molecular communication is a promising communication paradigm for the applications of biomedical engineering, nano-material manufacturing, etc., at nano- to microscale. Measuring distance between nanomachines is critical for adaptive communication design or location-based functionalities. In this paper a novel effective distance estimation method is proposed. Two types of molecules are released by the transmitter nanomachine. Due to the different diffusivity of the different types of molecules, the receiver can estimate the distance. Synchronization between the transmitter and the receiver is not required. The simulation results demonstrate that the proposed scheme has a good performance in terms of accuracy and anti-noise ability.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116784996","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}
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