Wireless Sensor Networks Energy Effectively Distributed Target Detection

Wireless Sensor Networks Energy Effectively Distributed Target Detection

The target detection is a kind of very important application of wireless sensor networks. In this paper, we propose an energy effective distributed multisensor target detection method, which is different from the existing single sensor target detection methods, and target is detected by multisensor...

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Main Authors: Xiaogang Qi, Peng Wei, Lifang Liu, Mande Xie, Guoyong Cai
Format: Article
Language:English
Published: SAGE Publishing 2014-07-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/763918
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spelling doaj-63686497b8a444e2b4aebf4320eb1a292020-11-25T03:45:05ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-07-011010.1155/2014/763918763918Wireless Sensor Networks Energy Effectively Distributed Target DetectionXiaogang Qi0Peng Wei1Lifang Liu2Mande Xie3Guoyong Cai4 School of Mathematics and Statistics, Xidian University, Xi'an 710071, China School of Mathematics and Statistics, Xidian University, Xi'an 710071, China School of Computer Science and Technology, Xidian University, Xi'an 710071, China College of Computer and Information Engineering, Zhejiang Technology and Business University, Hangzhou 310018, China Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, ChinaThe target detection is a kind of very important application of wireless sensor networks. In this paper, we propose an energy effective distributed multisensor target detection method, which is different from the existing single sensor target detection methods, and target is detected by multisensor cooperation scheme. The first algorithm presents a method of the time series discretization to solve the distance of the target detected by the first connected node. The detected information is aggregated in the aggregating node, and the optimal path by the second algorithm is built up to transmit the aggregated packets to the sink. According to the simulation results, the probability of the single node target detection is compared with that of the multisensor collaborative target detection, and the influence of the weight coefficient on average node energy consumption is analyzed. Furthermore, we provide the optimal data sampling period of target detection data.https://doi.org/10.1155/2014/763918
collection DOAJ
language English
format Article
sources DOAJ
author Xiaogang Qi
Peng Wei
Lifang Liu
Mande Xie
Guoyong Cai
spellingShingle Xiaogang Qi
Peng Wei
Lifang Liu
Mande Xie
Guoyong Cai
Wireless Sensor Networks Energy Effectively Distributed Target Detection
International Journal of Distributed Sensor Networks
author_facet Xiaogang Qi
Peng Wei
Lifang Liu
Mande Xie
Guoyong Cai
author_sort Xiaogang Qi
title Wireless Sensor Networks Energy Effectively Distributed Target Detection
title_short Wireless Sensor Networks Energy Effectively Distributed Target Detection
title_full Wireless Sensor Networks Energy Effectively Distributed Target Detection
title_fullStr Wireless Sensor Networks Energy Effectively Distributed Target Detection
title_full_unstemmed Wireless Sensor Networks Energy Effectively Distributed Target Detection
title_sort wireless sensor networks energy effectively distributed target detection
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2014-07-01
description The target detection is a kind of very important application of wireless sensor networks. In this paper, we propose an energy effective distributed multisensor target detection method, which is different from the existing single sensor target detection methods, and target is detected by multisensor cooperation scheme. The first algorithm presents a method of the time series discretization to solve the distance of the target detected by the first connected node. The detected information is aggregated in the aggregating node, and the optimal path by the second algorithm is built up to transmit the aggregated packets to the sink. According to the simulation results, the probability of the single node target detection is compared with that of the multisensor collaborative target detection, and the influence of the weight coefficient on average node energy consumption is analyzed. Furthermore, we provide the optimal data sampling period of target detection data.
url https://doi.org/10.1155/2014/763918
work_keys_str_mv AT xiaogangqi wirelesssensornetworksenergyeffectivelydistributedtargetdetection
AT pengwei wirelesssensornetworksenergyeffectivelydistributedtargetdetection
AT lifangliu wirelesssensornetworksenergyeffectivelydistributedtargetdetection
AT mandexie wirelesssensornetworksenergyeffectivelydistributedtargetdetection
AT guoyongcai wirelesssensornetworksenergyeffectivelydistributedtargetdetection
_version_ 1724511491356360704

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