Swarm Intelligence Based Energy Balance Routing for Wireless Sensor Networks

Authors:
Heng Chen;Depei Qian;Weiguo Wu;Lu Cheng
Affiliations:
-;-;-;-
Venue:
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 02
Year:
2008

Citing 0
Cited 2

Implementation of particle swarm optimization based methodology for node placement in wireless sensor networks

Proceedings of the International Conference & Workshop on Emerging Trends in Technology
The balance of routing energy consumption in wireless sensor networks

Journal of Parallel and Distributed Computing

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Abstract

In this paper we propose a swarm intelligence based energy balance routing scheme SEB. SEB addresses the routing problem, especially focuses on extending the lifetime of wireless sensor networks, in which sensor nodes are battery powered. Based on the assumptions in our model, SEB estimates the weights of sensor nodes dynamically. Furthermore, sensor nodes exchange information (i.e., residual energy and weight) with their one-hop neighbors if necessary. By using swarm intelligence technique, SEB chooses a neighbor node as next hop only considering its local information of neighbor nodes. Consequently, SEB can balance residual energy of sensor nodes evenly according to their weights as much as possible. Compared with the existing algorithm such as GPSR, our simulation results show that SEB is robust and achieves longer network lifetime.