期刊论文详细信息
Sensors
Path Renewal Method in Filtering Based Wireless Sensor Networks
Jin Myoung Kim2  Young Shin Han2  Hae Young Lee1 
[1] Embedded Software Division, Electronics Telecommunications Research Institute, Daejeon 305-700, Korea; E-Mail:;School of Information and Communication Engineering, Sungkyunkwan University, Suwon 440-774, Korea; E-Mails:
关键词: filtering scheme;    load balancing;    sensor networks;    path finding;   
DOI  :  10.3390/s110201396
来源: mdpi
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【 摘 要 】

In applications of wireless sensor networks, there are many security issues. Attackers can create false reports and transmit the reports to the networks. These false reports can lead not only false alarms, but also the depletion of limited energy resources. In order to filter out such false reports during the forwarding process, Ye et al. proposed the statistical en-route filtering (SEF). Several research efforts to enhance the efficiency of SEF have been made. Especially, the path selection method proposed by Sun et al. can improve the detection power of SEF by considering the information on the filtering keys of and distances of upstream paths. However, such selection mechanism could lead to favored paths in heavy traffic, which would result in unbalanced energy consumption. In this paper, we propose a path renewal method to provide load balancing for sensor networks in terms of energy consumption. In our method, a node renews its upstream path to save energy resources if the remaining energy of and the communication traffic of the node exceed some threshold values. We show the effectiveness of the proposed method in terms of balanced energy consumption and filtering power by providing simulation results.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.

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