Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks
Quality of sensing is a fundamental research topic in sensor networks. In this paper, we propose an adaptive sensing technique to guarantee the end-to-end reliability while maximizing the lifetime of sensor networks under additive white Gaussian noise channels. First, we conduct theoretical analysis...
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doaj-45474d57d68d4ce7a425b2d5d62bb8e92020-11-25T01:00:55ZengHindawi LimitedJournal of Sensors1687-725X1687-72682015-01-01201510.1155/2015/532045532045Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor NetworksJun Long0An He1Anfeng Liu2Xue Chen3School of Information Science and Engineering, Central South University, Changsha 410083, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410083, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410083, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410083, ChinaQuality of sensing is a fundamental research topic in sensor networks. In this paper, we propose an adaptive sensing technique to guarantee the end-to-end reliability while maximizing the lifetime of sensor networks under additive white Gaussian noise channels. First, we conduct theoretical analysis to obtain optimal node number N∗, node placement d∗, and node transmission structure P∗ under minimum total energy consumption and minimum unit data transmission energy consumption. Then, because sensor nodes closer to the sink consume more energy, nodes far from the sink have more residual energy. Based on this observation, we propose an adaptive sensing technique to achieve balanced network energy consumption. It adopts lower reliability requirement and shorter transmission distance for nodes near the sink and adopts higher reliability requirement and farther transmission distance for nodes far from the sink. Theoretical analysis and experimental results show that our design can improve the network lifetime by several times (1–5 times) and network utility by 20% and the desired reliability level is also guaranteed.http://dx.doi.org/10.1155/2015/532045 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jun Long An He Anfeng Liu Xue Chen |
spellingShingle |
Jun Long An He Anfeng Liu Xue Chen Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks Journal of Sensors |
author_facet |
Jun Long An He Anfeng Liu Xue Chen |
author_sort |
Jun Long |
title |
Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks |
title_short |
Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks |
title_full |
Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks |
title_fullStr |
Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks |
title_full_unstemmed |
Adaptive Sensing with Reliable Guarantee under White Gaussian Noise Channels of Sensor Networks |
title_sort |
adaptive sensing with reliable guarantee under white gaussian noise channels of sensor networks |
publisher |
Hindawi Limited |
series |
Journal of Sensors |
issn |
1687-725X 1687-7268 |
publishDate |
2015-01-01 |
description |
Quality of sensing is a fundamental research topic in sensor networks. In this paper, we propose an adaptive sensing technique to guarantee the end-to-end reliability while maximizing the lifetime of sensor networks under additive white Gaussian noise channels. First, we conduct theoretical analysis to obtain optimal node number N∗, node placement d∗, and node transmission structure P∗ under minimum total energy consumption and minimum unit data transmission energy consumption. Then, because sensor nodes closer to the sink consume more energy, nodes far from the sink have more residual energy. Based on this observation, we propose an adaptive sensing technique to achieve balanced network energy consumption. It adopts lower reliability requirement and shorter transmission distance for nodes near the sink and adopts higher reliability requirement and farther transmission distance for nodes far from the sink. Theoretical analysis and experimental results show that our design can improve the network lifetime by several times (1–5 times) and network utility by 20% and the desired reliability level is also guaranteed. |
url |
http://dx.doi.org/10.1155/2015/532045 |
work_keys_str_mv |
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