DOI: 10.3724/SP.J.1146.2013.00345

Journal of Electronics & Information Technology (电子与信息学报) 2013/35:12 PP.2992-2998

Energy-balanced Adaptive Clustering Routing for Indoor Wireless Sensor Networks

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.

Key words:Wireless sensor networks,Energy-balanced,Adaptive clustering,Receiver Signal Strength Indicator (RSSI)

ReleaseDate:2014-07-21 17:01:13