Balancing energy consumption with mobile agents in wireless sensor networks

被引:66
作者
Lin, Kai [1 ]
Chen, Min [2 ]
Zeadally, Sherali [3 ]
Rodrigues, Joel J. P. C. [4 ,5 ]
机构
[1] Dalian Univ Technol, Sch Comp Sci & Engn, Dalian, Liaoning, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Comp Sci & Technol, Wuhan, Peoples R China
[3] Univ Dist Columbia, Dept Comp Sci & Info Tech, Washington, DC 20008 USA
[4] Univ Beira Interior, Inst Telecomunicacoes, Covilha, Portugal
[5] Univ Beira Interior, Dept Informat, Covilha, Portugal
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2012年 / 28卷 / 02期
基金
中国国家自然科学基金;
关键词
Wireless sensor network; Energy balancing; Energy prediction; Data fusion; Cellular structure; ARCHITECTURE; FUSION; COST;
D O I
10.1016/j.future.2011.03.001
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
For Wireless Sensor Networks (WSNs), an unbalanced energy consumption will decrease the lifetime of network. In this paper, we leverage mobile agent technology to investigate the problem of how to balance the energy consumption during data collection in WSNs. We first demonstrate that for a sensor network with uniform node distribution and constant data reporting, balancing the energy of the whole network cannot be realized when the distribution of data among sensor nodes is unbalanced. We design a method to mitigate the uneven energy dissipation problem by controlling the mobility of agents, which is achieved by an energy prediction strategy to find their positions. Finally, we propose energy balancing cluster routing based on a mobile agent (EBMA) for WSNs. To obtain better performance, the cluster structure is formed based on cellular topology taking into consideration the energy balancing of inter-cluster and intra-cluster environments. Extensive simulation experiments are carried out to evaluate EBMA with several performance criteria. Our simulation results show that EBMA can effectively balance energy consumption and perform high efficiency in large-scale network deployment. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:446 / 456
页数:11
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