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)
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.
袁凌云, 王兴超, 徐天伟. 基于移动Agent和WSN的突发事件场景数据收集算法研究[J]. 电子与信息学报, 2010, 32(8): 1974-1979.
Yuan Ling-Yun, Wang Xing-Chao, Xu Tian-Wei. Data Gathering Algorithm Based on Mobile Agent and WSN for Emergent Event Monitoring. , 2010, 32(8): 1974-1979.
2010, Vol. 32 
