On the Problem of Energy Balanced Relay Sensor Placement in Wireless Sensor Networks

IF 2.5 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Distributed Sensor Networks Pub Date : 2013-10-01 DOI:10.1155/2013/342904
Jie Jia, Guiyuan Zhang, Xueli Wu, Jing Chen, Xingwei Wang, Xiaolei Yan
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引用次数: 17

Abstract

Balanced energy depletion is an important way to prolong network lifetime for wireless sensor networks. Traditional algorithms mainly aim at maximizing network coverage rate with uniform sensor node distribution. However, wireless sensor network is characterized by many-to-one traffic pattern and multihop communication, which usually lead to the energy hole problem in the region around the sink node. In this paper, we investigate the problem of joint placement for both relays and sensors to eliminate energy hole. We first theoretically conclude that balanced energy depletion is achievable with rational designed deployment density for relay nodes. We then propose a novel relay deploying strategy as well as a data routing scheme to eliminate uneven energy depletion. Extensive simulations are presented to verify that our approach outperforms other schemes in terms of both network lifetime and unused energy ratio.
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无线传感器网络中能量平衡继电器传感器布局问题研究
平衡能量消耗是无线传感器网络延长网络寿命的重要途径。传统算法的主要目标是在传感器节点均匀分布的情况下最大化网络覆盖率。然而,无线传感器网络具有多对一业务模式和多跳通信的特点,这通常会导致汇聚节点周围区域的能量空穴问题。本文研究了继电器和传感器的关节布置问题,以消除能量空洞。我们首先从理论上得出结论,通过合理设计中继节点的部署密度,可以实现平衡的能量消耗。然后,我们提出了一种新的中继部署策略和数据路由方案,以消除不均匀的能量消耗。大量的仿真验证了我们的方法在网络寿命和未使用能量比方面优于其他方案。
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来源期刊
CiteScore
6.50
自引率
4.30%
发文量
94
审稿时长
3.6 months
期刊介绍: International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.
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