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| Energy-balanced Adaptive Clustering Routing for Indoor Wireless Sensor Networks |
| Tian Yong①② Tang Zhen-an① Yu Yan① |
①(School of Electronic Science and Technology, Dalian University of Technology, Dalian 116024, China)
②(Department of Electronic Engineering, Dalian Neusoft Institute of Information, Dalian 116024, China) |
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Abstract As indoor wireless sensor networks channel fading resulting in frequent topological changes, an adaptive routing algorithm is necessary with the changes of environment. To this end, an Energy-Balanced Adaptive Clustering Routing (EBACR) algorithm is proposed in this paper. In this algorithm, a cluster head node and its relay node are chosen by a comprehensive consideration of the Receiver Signal Strength Indicator (RSSI) values received by sensor nodes and the residual energy of sensor nodes, and the other nodes can then decide which cluster they will belong to. EBACR algorithm can adaptively build the routing by multiple attribute decisions, according to the changes of different attributes. The experimental results show that EBACR algorithm can get better performance in the aspect of energy balance and network lifetime compared with other three algorithms.
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Received: 18 March 2013
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Corresponding Authors:
Yu Yan
E-mail: yuyan@dlut.edu.cn
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2013, Vol. 35 
