Pub Date : 2018-12-01DOI: 10.1109/ANTS.2018.8710129
Sudhir Kumar
The communication between the transmitter and the receiver is generally affected by malfunctioning sources, sensing of abnormal phenomena (outlier), non-line-of-sight (NLOS) communication, multipath fading or any other external attack. In this paper, joint malicious source detection and robust target localization method using the compartmental model is presented. Compartmental model is the sum of two exponentials which describe the variation of received signal strength with transmitter-receiver distance. Additionally, a data aggregation unaware clustering technique based on first and second order approximations of the compartmental model is presented. The effectiveness of the proposed method is verified using real field deployment in an indoor scenario.
{"title":"Joint Malicious Source Detection and Target Localization using Compartmental Model in Cluster-based Networks","authors":"Sudhir Kumar","doi":"10.1109/ANTS.2018.8710129","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710129","url":null,"abstract":"The communication between the transmitter and the receiver is generally affected by malfunctioning sources, sensing of abnormal phenomena (outlier), non-line-of-sight (NLOS) communication, multipath fading or any other external attack. In this paper, joint malicious source detection and robust target localization method using the compartmental model is presented. Compartmental model is the sum of two exponentials which describe the variation of received signal strength with transmitter-receiver distance. Additionally, a data aggregation unaware clustering technique based on first and second order approximations of the compartmental model is presented. The effectiveness of the proposed method is verified using real field deployment in an indoor scenario.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"199 S591","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120851883","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710072
P. Majumder, Lucy Dash, K. Sinha, B. Sinha
A new technique for energy-efficient communication in wireless sensor networks is proposed here which is based on a novel source coding of multiple sensor data coupled with the use of silent communication strategy. The source coding technique exploits high temporal correlation between sensor data by first appropriately interleaving the bits of two consecutive sensor data values and then representing every two consecutive bits of this interleaved dual message by one of four symbol values so that the overall message length is reduced by a factor of two. After that, any occurrence of the same symbol value in consecutive positions of this string is replaced by a null symbol. The transmitter is kept silent during the periods of these null symbols following the strategy of silent communication to save transmitter energy. We propose a hybrid modulation / demodulation technique using non-coherent frequency-shift keying (FSK) and amplitude-shift keying (ASK) to implement this communication scheme, termed as Compression with Multiple Null Symbols (CMNS). From simulation results with various real-life sensor data, we find that CMNS provides transmitter energy savings ranging from 73.16% to 46.6% and receiver energy saving of 50% over conventional BFSK. When compared with other existing schemes, we see from simulation with all these sensor data sets that CMNS provides an improvement over Quint Fibonacci Number System (QFNS), the best known similar scheme, in transmitter energy savings ranging from 9.96% to 113.46% and an improvement in receiver energy savings ranging from 4.85% to 27.94%. These results establish that our proposed scheme is very suitable for multihop communication in low cost wireless sensor network applications.
本文提出了一种新的无线传感器网络节能通信技术，该技术基于一种新的多传感器数据源编码，并结合使用静默通信策略。源编码技术利用传感器数据之间的高时间相关性，首先适当地交错两个连续的传感器数据值的位，然后用四个符号值中的一个表示这个交错的双消息的每两个连续的位，从而使整个消息长度减少了两倍。在此之后，在该字符串的连续位置出现的任何相同符号值都将被空符号替换。在这些空符号期间，发射机按照静默通信策略保持静默，以节省发射机的能量。我们提出了一种混合调制/解调技术，使用非相干移频键控(FSK)和移幅键控(ASK)来实现这种通信方案，称为多空符号压缩(CMNS)。从各种实际传感器数据的仿真结果中，我们发现与传统的BFSK相比，CMNS的发射机节能幅度为73.16%至46.6%，接收机节能50%。与其他现有方案相比，我们从所有这些传感器数据集的仿真中看到，CMNS比最著名的类似方案Quint Fibonacci Number System (QFNS)提供了改进，发射机节能范围为9.96%至113.46%，接收机节能范围为4.85%至27.94%。结果表明，该方案非常适合低成本无线传感器网络中的多跳通信。
{"title":"CMNS: An Energy-Efficient Communication Scheme for Wireless Sensor Networks","authors":"P. Majumder, Lucy Dash, K. Sinha, B. Sinha","doi":"10.1109/ANTS.2018.8710072","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710072","url":null,"abstract":"A new technique for energy-efficient communication in wireless sensor networks is proposed here which is based on a novel source coding of multiple sensor data coupled with the use of silent communication strategy. The source coding technique exploits high temporal correlation between sensor data by first appropriately interleaving the bits of two consecutive sensor data values and then representing every two consecutive bits of this interleaved dual message by one of four symbol values so that the overall message length is reduced by a factor of two. After that, any occurrence of the same symbol value in consecutive positions of this string is replaced by a null symbol. The transmitter is kept silent during the periods of these null symbols following the strategy of silent communication to save transmitter energy. We propose a hybrid modulation / demodulation technique using non-coherent frequency-shift keying (FSK) and amplitude-shift keying (ASK) to implement this communication scheme, termed as Compression with Multiple Null Symbols (CMNS). From simulation results with various real-life sensor data, we find that CMNS provides transmitter energy savings ranging from 73.16% to 46.6% and receiver energy saving of 50% over conventional BFSK. When compared with other existing schemes, we see from simulation with all these sensor data sets that CMNS provides an improvement over Quint Fibonacci Number System (QFNS), the best known similar scheme, in transmitter energy savings ranging from 9.96% to 113.46% and an improvement in receiver energy savings ranging from 4.85% to 27.94%. These results establish that our proposed scheme is very suitable for multihop communication in low cost wireless sensor network applications.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114975073","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 : 2018-12-01DOI: 10.1109/ants.2018.8710120
D. Anwar, A. Srivastava
A forecast that internet-of-things (IoT) devices will be humungous, more than a billion, and the numbers will increase rapidly in the coming years. The exchange of information among devices is getting more massive day by day, putting a strain on current technologies and leading to the scarcity of radio-frequency (RF) spectrum. IoT foresees the extensive use of visible light communication (VLC) technology. The implementation of a VLC link on communication interfaces of existing computers and smartphones saves energy by using energy efficient LEDs and existing infrastructure. Transferring data between two laptops or two mobiles using visible light is in its infancy, and extensive research is going on to bring Light-Fidelity (Li-Fi) in every day IoT. Universal asynchronous receiver/transmitter (UART) is a global standard used for computer communication. Integrating visible light communication between two laptops via UART is a useful application for IoT devices while in case of mobile the existence of flashlight in the back and light detector in the front is made use for the communication. The work aims to perform point-to-point communication using visible light between off-the-shelf devices such as two laptops and two mobiles. A reliable working prototype of the system having transmitter and receiver is designed and built for both the cases. Real-time transfer of data such as alphabets, words, text and image are done via a graphical user interface (GUI) in laptop and app in mobile. Letter error rate analysis is also performed with respect to various parameters.
{"title":"Energy saver VLC using off-the-shelf devices: an experimental study","authors":"D. Anwar, A. Srivastava","doi":"10.1109/ants.2018.8710120","DOIUrl":"https://doi.org/10.1109/ants.2018.8710120","url":null,"abstract":"A forecast that internet-of-things (IoT) devices will be humungous, more than a billion, and the numbers will increase rapidly in the coming years. The exchange of information among devices is getting more massive day by day, putting a strain on current technologies and leading to the scarcity of radio-frequency (RF) spectrum. IoT foresees the extensive use of visible light communication (VLC) technology. The implementation of a VLC link on communication interfaces of existing computers and smartphones saves energy by using energy efficient LEDs and existing infrastructure. Transferring data between two laptops or two mobiles using visible light is in its infancy, and extensive research is going on to bring Light-Fidelity (Li-Fi) in every day IoT. Universal asynchronous receiver/transmitter (UART) is a global standard used for computer communication. Integrating visible light communication between two laptops via UART is a useful application for IoT devices while in case of mobile the existence of flashlight in the back and light detector in the front is made use for the communication. The work aims to perform point-to-point communication using visible light between off-the-shelf devices such as two laptops and two mobiles. A reliable working prototype of the system having transmitter and receiver is designed and built for both the cases. Real-time transfer of data such as alphabets, words, text and image are done via a graphical user interface (GUI) in laptop and app in mobile. Letter error rate analysis is also performed with respect to various parameters.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"76 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129920496","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 : 2018-12-01DOI: 10.1109/ants.2018.8710046
{"title":"ANTS 2018 Technical Program Committee","authors":"","doi":"10.1109/ants.2018.8710046","DOIUrl":"https://doi.org/10.1109/ants.2018.8710046","url":null,"abstract":"","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133414237","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710145
A. Bishnu, V. Bhatia
In this paper, we present an algorithmic compiler based field-programmable gate array (FPGA) implementation of iterative time domain sparse channel estimation algorithm for IEEE 802.22 standard. The algorithm is implemented on Xilinx Kintex-7 410T FPGA in the National Instrument’s (NI) Universal Software Radio Peripheral 2952R operating at 20 MHz by using high throughput math functions. The algorithmic compiler in the NI LabVIEW Communication System Design Suite converts the high-level description of entire algorithm to very high speed integrated circuit hardware description language. Actual usage of FPGA’s resource such as slices, lookup tables and others are also provided. Additionally, we compare the bit error rate performance of the considered algorithm for different modulation techniques obtained from MATLAB and FPGA implementations.
{"title":"Algorithmic Compiler based FPGA Implementation of Iterative Time-Domain Algorithm for Sparse Channel Estimation","authors":"A. Bishnu, V. Bhatia","doi":"10.1109/ANTS.2018.8710145","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710145","url":null,"abstract":"In this paper, we present an algorithmic compiler based field-programmable gate array (FPGA) implementation of iterative time domain sparse channel estimation algorithm for IEEE 802.22 standard. The algorithm is implemented on Xilinx Kintex-7 410T FPGA in the National Instrument’s (NI) Universal Software Radio Peripheral 2952R operating at 20 MHz by using high throughput math functions. The algorithmic compiler in the NI LabVIEW Communication System Design Suite converts the high-level description of entire algorithm to very high speed integrated circuit hardware description language. Actual usage of FPGA’s resource such as slices, lookup tables and others are also provided. Additionally, we compare the bit error rate performance of the considered algorithm for different modulation techniques obtained from MATLAB and FPGA implementations.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130158950","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710152
Sandesh Jain, R. Mitra, V. Bhatia
Information theoretic learning based approaches have been combined with the framework of reproducing kernel Hilbert space (RKHS) based techniques for nonlinear and non-Gaussian signal processing applications. In particular, generalized kernel maximum correntropy (GKMC) algorithm has been proposed in the literature which adopts generalized Gaussian probability density function (GPDF) as the cost function in order to train the filter weights. Recently, a more flexible and computationally efficient algorithm called maximum Versoria criterion (MVC) which adopts the generalized Versoria function as the adaptation cost has been proposed in the literature which delivers better performance as compared to the maximum correntropy criterion. In this paper, we propose a novel generalized kernel maximum Versoria criterion (GKMVC) algorithm which combines the advantages of RKHS based approaches and MVC algorithm. Further, a novelty criterion based dictionary sparsification technique as suggested for kernel least mean square (KLMS) algorithm is proposed for GKMVC algorithm for reducing its computational complexity. Furthermore, an analytical upper bound on step-size is also derived in order to ensure the convergence of the proposed algorithm. Simulations are performed over various non-Gaussian noise distributions which indicate that the proposed GKMVC algorithm exhibits superior performance in terms of lower steady-state error floor as compared to the existing algorithms, namely the KLMS and the GKMC algorithms.
{"title":"Kernel Adaptive Filtering Based on Maximum Versoria Criterion","authors":"Sandesh Jain, R. Mitra, V. Bhatia","doi":"10.1109/ANTS.2018.8710152","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710152","url":null,"abstract":"Information theoretic learning based approaches have been combined with the framework of reproducing kernel Hilbert space (RKHS) based techniques for nonlinear and non-Gaussian signal processing applications. In particular, generalized kernel maximum correntropy (GKMC) algorithm has been proposed in the literature which adopts generalized Gaussian probability density function (GPDF) as the cost function in order to train the filter weights. Recently, a more flexible and computationally efficient algorithm called maximum Versoria criterion (MVC) which adopts the generalized Versoria function as the adaptation cost has been proposed in the literature which delivers better performance as compared to the maximum correntropy criterion. In this paper, we propose a novel generalized kernel maximum Versoria criterion (GKMVC) algorithm which combines the advantages of RKHS based approaches and MVC algorithm. Further, a novelty criterion based dictionary sparsification technique as suggested for kernel least mean square (KLMS) algorithm is proposed for GKMVC algorithm for reducing its computational complexity. Furthermore, an analytical upper bound on step-size is also derived in order to ensure the convergence of the proposed algorithm. Simulations are performed over various non-Gaussian noise distributions which indicate that the proposed GKMVC algorithm exhibits superior performance in terms of lower steady-state error floor as compared to the existing algorithms, namely the KLMS and the GKMC algorithms.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116321398","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710140
Tanjila Ahmed, Sabidur Rahman, M. Tornatore, Xiaosong Yu, Kwangjoon Kim, B. Mukherjee
A traditional wavelength-division multiplexed (WDM) backbone network with its rigid features is unsuitable for emerging diverse and high bitrate (400 Gb/s, 1 Tb/s) traffic needs. Flexible solutions employ new technologies such as bandwidth-variable optical cross connects (BV-OXC) with liquid crystal (LCoS) wavelength-selective switches (WSS), sliceable bandwidth-variable transponders (SBVT), etc. in a flex-grid network. Flex-grid network operates on variable spectral granularities (e.g., 12.5 GHz), and higher modulation formats (quadrature amplitude modulation). However, a greenfield deployment of flex-grid technologies may not be practical, due to cost of technology and usability. This leads to a brown-field network where both fixed-grid and flex-grid technologies co-exist with seamless interoperability. Thus traditional traffic routing and resource allocation techniques need to evolve in a mixed-grid infrastructure. Our study considers the dynamic routing and spectrum assignment (RSA) problem in a fixed/flex-grid co-existing optical network. It provisions routes for dynamic, heterogeneous traffic, ensuring maximum spectrum utilization and minimum blocking.
{"title":"Dynamic Routing and Spectrum Assignment in Co-Existing Fixed/Flex-Grid Optical Networks","authors":"Tanjila Ahmed, Sabidur Rahman, M. Tornatore, Xiaosong Yu, Kwangjoon Kim, B. Mukherjee","doi":"10.1109/ANTS.2018.8710140","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710140","url":null,"abstract":"A traditional wavelength-division multiplexed (WDM) backbone network with its rigid features is unsuitable for emerging diverse and high bitrate (400 Gb/s, 1 Tb/s) traffic needs. Flexible solutions employ new technologies such as bandwidth-variable optical cross connects (BV-OXC) with liquid crystal (LCoS) wavelength-selective switches (WSS), sliceable bandwidth-variable transponders (SBVT), etc. in a flex-grid network. Flex-grid network operates on variable spectral granularities (e.g., 12.5 GHz), and higher modulation formats (quadrature amplitude modulation). However, a greenfield deployment of flex-grid technologies may not be practical, due to cost of technology and usability. This leads to a brown-field network where both fixed-grid and flex-grid technologies co-exist with seamless interoperability. Thus traditional traffic routing and resource allocation techniques need to evolve in a mixed-grid infrastructure. Our study considers the dynamic routing and spectrum assignment (RSA) problem in a fixed/flex-grid co-existing optical network. It provisions routes for dynamic, heterogeneous traffic, ensuring maximum spectrum utilization and minimum blocking.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128275031","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710143
Shivam Singh, B. Gupta
In WBANs, the energy consumption and reliable communication depend on the placement of sensors on the body. It may require more energy to transmit the data in single hop communication because sometimes distance between sensor and coordinator is large. Instead of direct transmission far away sensor node uses relay sensor to forward the data for more reliable communication with less energy consumption. The position of relay sensor node depends on the situation of body i.e. moving or stationary. Transmission path of the faraway sensor node is varying because of relay choice. In this paper, we have proposed the algorithm for path selection based on the utilization factor. However, the CSMA/CA (carrier sense multiple access with collision avoidance) techniques for IEEE 802.15.6 is used to access the channel. We have compared the moving and stationary body scenario in terms of QoS parameters such as total energy consumption, total delay, packet delivery ratio and throughput. Total energy consumption is more and total delay is less in moving body. Packet delivery ratio and throughput are more in stationary body.
在无线宽带网络中，能量消耗和可靠的通信取决于传感器在身体上的位置。由于有时传感器和协调器之间的距离较大，单跳通信可能需要更多的能量来传输数据。远端传感器节点不再直接传输数据，而是采用中继传感器转发数据，通信更可靠，能耗更低。继电器传感器节点的位置取决于物体的状态，即运动或静止。由于中继的选择，远端传感器节点的传输路径会发生变化。本文提出了一种基于利用率的路径选择算法。但是，使用IEEE 802.15.6的CSMA/CA (carrier sense multiple access with collision avoidance)技术来访问该信道。我们从总能耗、总延迟、分组传送率和吞吐量等QoS参数方面比较了移动和静止的身体场景。运动体总能量消耗大，总延迟小。在静止体中，数据包的传输率和吞吐量更高。
{"title":"Performance Evaluation of Quality of Service Parameters for Stationary and Moving Body in Wireless Body Area Networks","authors":"Shivam Singh, B. Gupta","doi":"10.1109/ANTS.2018.8710143","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710143","url":null,"abstract":"In WBANs, the energy consumption and reliable communication depend on the placement of sensors on the body. It may require more energy to transmit the data in single hop communication because sometimes distance between sensor and coordinator is large. Instead of direct transmission far away sensor node uses relay sensor to forward the data for more reliable communication with less energy consumption. The position of relay sensor node depends on the situation of body i.e. moving or stationary. Transmission path of the faraway sensor node is varying because of relay choice. In this paper, we have proposed the algorithm for path selection based on the utilization factor. However, the CSMA/CA (carrier sense multiple access with collision avoidance) techniques for IEEE 802.15.6 is used to access the channel. We have compared the moving and stationary body scenario in terms of QoS parameters such as total energy consumption, total delay, packet delivery ratio and throughput. Total energy consumption is more and total delay is less in moving body. Packet delivery ratio and throughput are more in stationary body.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132742939","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710084
Thanchanok Sutjarittham, H. Gharakheili, S. Kanhere, V. Sivaraman
The revolution in Internet-connected devices like cameras, occupancy detectors and air quality monitors, collectively dubbed as the Internet-of-Things (IoT), is enabling the realization of smart environments ranging from homes and offices to campuses and cities. In this paper, we describe our journey (admittedly still in its early days) towards the realization of a smart campus in a large University with over 50,000 students; 10,000 staff; and nearly 100 acres of real-estate. We begin by charting out the vision of the smart campus, focusing on how IoT technologies can benefit various stakeholders including students, staff, and estate managers. Our second contribution outlines a systematic approach to the architecture of a smart-campus, that horizontally separates the sensing, data storage, and analytics layers. We show that our approach prevents vertical lock-in to any IoT vendor, scales to arbitrary number and type of sensors, and permits analytics across data silos. Lastly, we describe our pilot IoT deployments pertaining to four use-cases on our campus, specifically classroom attendance, student study space usage, parking lot occupancy, and bus-stop wait-times. The data and preliminary insights obtained from these deployments provide quantifiable benefits to stakeholders, such as improved space usage and enhanced user experience.
{"title":"Realizing a Smart University Campus: Vision, Architecture, and Implementation","authors":"Thanchanok Sutjarittham, H. Gharakheili, S. Kanhere, V. Sivaraman","doi":"10.1109/ANTS.2018.8710084","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710084","url":null,"abstract":"The revolution in Internet-connected devices like cameras, occupancy detectors and air quality monitors, collectively dubbed as the Internet-of-Things (IoT), is enabling the realization of smart environments ranging from homes and offices to campuses and cities. In this paper, we describe our journey (admittedly still in its early days) towards the realization of a smart campus in a large University with over 50,000 students; 10,000 staff; and nearly 100 acres of real-estate. We begin by charting out the vision of the smart campus, focusing on how IoT technologies can benefit various stakeholders including students, staff, and estate managers. Our second contribution outlines a systematic approach to the architecture of a smart-campus, that horizontally separates the sensing, data storage, and analytics layers. We show that our approach prevents vertical lock-in to any IoT vendor, scales to arbitrary number and type of sensors, and permits analytics across data silos. Lastly, we describe our pilot IoT deployments pertaining to four use-cases on our campus, specifically classroom attendance, student study space usage, parking lot occupancy, and bus-stop wait-times. The data and preliminary insights obtained from these deployments provide quantifiable benefits to stakeholders, such as improved space usage and enhanced user experience.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132821293","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 : 2018-12-01DOI: 10.1109/ANTS.2018.8710117
Anish Shastri, Vivek Jain, R. P. Singh, S. Chaudhari, S. Chouhan
This paper focuses on the customized-wireless sensor node implementation of the classical least mean square (LMS) algorithm for the reduction in data-transmissions from the sensor nodes to the sink in internet of things (IoT) networks. This reduction, in turn, increases the battery life of the sensor node. The system was deployed in outdoor and indoor environments to read the ambient temperature and then perform the prediction of the sensed data in order to minimize the number of data-transmissions to the sink node. The utility of the proposed concept has been demonstrated using the measured data and the battery life is increased 2.64 and 2.53 times in indoor and outdoor environments, respectively.
{"title":"On the Implementation of LMS-based Algorithm for Increasing the Lifetime of IoT Networks","authors":"Anish Shastri, Vivek Jain, R. P. Singh, S. Chaudhari, S. Chouhan","doi":"10.1109/ANTS.2018.8710117","DOIUrl":"https://doi.org/10.1109/ANTS.2018.8710117","url":null,"abstract":"This paper focuses on the customized-wireless sensor node implementation of the classical least mean square (LMS) algorithm for the reduction in data-transmissions from the sensor nodes to the sink in internet of things (IoT) networks. This reduction, in turn, increases the battery life of the sensor node. The system was deployed in outdoor and indoor environments to read the ambient temperature and then perform the prediction of the sensed data in order to minimize the number of data-transmissions to the sink node. The utility of the proposed concept has been demonstrated using the measured data and the battery life is increased 2.64 and 2.53 times in indoor and outdoor environments, respectively.","PeriodicalId":273443,"journal":{"name":"2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126192934","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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