一种基于群智能和负载均衡策略的移动sink数据采集算法

Yongquan Chen, Yunjian Tang, Guoqing Xu, Huihuan Qian, Yangsheng Xu
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引用次数: 7

摘要

本文介绍了一种基于群智能和负载均衡策略的无线传感器网络移动sink数据采集算法,即SIDG-MS算法。群体智能的捕食行为表明个体可以在群体领地内寻找食物。WSN系统中每个节点的计算能力、存储空间、能量和无线传输范围都是有限的。这种行为类似于群体智能的个体。本文重点介绍了SIDG-MS和负载均衡策略的概念和阐述。实验结果验证了该方法的有效性。我们分析和论证了所提出的方法与其他现有方法的有效性,并确定了一些未来的工作。
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A data gathering algorithm based on swarm intelligence and load balancing strategy for mobile sink
In this paper, we introduce a data gathering algorithm for mobile sink in WSN system, which is based on the swarm intelligence and load balancing strategy, called SIDG-MS algorithm. The preying behaviour from swarm intelligence shows that individual could find food in swarm territorial. Each node in WSN system has limited calculation ability, memory space, energy and wireless transmission range. This action is similar with the individual of swarm intelligence. This paper focuses on the concept and elaboration of the SIDG-MS and the load balancing strategy. Experimental results validate the effectiveness of this approach. We analysis and demonstrate the effectiveness of the proposed methods over other existed methods, and defined some future work.
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