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| Data Gathering Algorithm Based on Mobile Agent and WSN for Emergent Event Monitoring |
| Yuan Ling-yun① Wang Xing-chao② Xu Tian-wei① |
①(College of Computer Science and Information Technology, Yunnan Normal University, Kunming 650092, China)
②(Yunnan Computer Center, Yunnan University, Kunming 650031, China) |
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Abstract Focusing on the energy consumption and the network delay in wireless sensor network applied to emergent event monitoring, a new Data Gathering algorithm based on Mobile Agent (DGMA) is proposed for the chain-based wireless sensor network. The process of dynamically clustering the sensor nodes is based on the event severity, by which the scale and lifetime of clusters are determined. And a virtual cluster is formed between sink and cluster heads regarded sink node as its cluster head. The next hop in route planning for mobile agents is determined by the residual energy, the path loss and the stimulus intensity. The mobile agents equipped on cluster heads can gather information by traversing all member nodes. The theory analysis and simulation results show that mobile agent model has a better performance in energy consumption and network delay compared to C/S model. Furthermore, DGMA will provide a more appropriate performance for wireless sensor network applied to a large scale emergent event monitoring.
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Received: 28 August 2009
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Corresponding Authors:
Yuan Ling-yun
E-mail: yuan_ling_yun@yahoo.com.cn
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2010, Vol. 32 
