An Overall Energy-Balanced Routing Protocol for Wireless Sensor Network

Clustering techniques can increase utilization of energy and scalability for wireless sensor networks (WSNs). This paper proposes an novel overall energy-balanced routing protocol (OEBR). In order to solve the problem of unbalanced energy consumption in the clustering techniques, selecting part nodes with more residual energy as tentative cluster heads, via compute similitude (distance) form a tentative cluster head to nodes which in the rage of R broadcast radius, according to similitude, tentative cluster heads compete final cluster head. Proposes a communication model which combines single hop with multi-hop to perform inter-cluster communication, according to the threshold of energy and distance to change communication model between single hop and multi-hop. Simulation results show that routing protocol the clustering schema we proposed balances the overall energy consumption and prolongs the network lifetime well.

[1]  Cauligi S. Raghavendra,et al.  PEGASIS: Power-efficient gathering in sensor information systems , 2002, Proceedings, IEEE Aerospace Conference.

[2]  Jie Wu,et al.  EECS: an energy efficient clustering scheme in wireless sensor networks , 2005, PCCC 2005. 24th IEEE International Performance, Computing, and Communications Conference, 2005..

[3]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[4]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[5]  Ruay-Shiung Chang,et al.  An energy efficient routing mechanism for wireless sensor networks , 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).

[6]  Min Tan,et al.  A Power Efficient Routing Protocol for Wireless Sensor Network , 2007, 2007 IEEE International Conference on Networking, Sensing and Control.

[7]  Liu Bin A Mixed Route Model of Balanced Energy Consumption in Wireless Sensor Networks , 2008 .