基于免疫克隆多目标优化的WSN覆盖控制研究

Research on WSN Coverage Control Based on Multi-Objective Optimization of Immune Clone

无线传感器网络在应用到大规模区域监测时,重点需要解决网络最优覆盖问题。对此本文提出一种基于免疫克隆多目标优化算法,该算法引入人工免疫原理,把多个约束条件转化成一个约束目标,进而将实际中的复杂问题转化成单目标优化问题,提高了网络的覆盖率。实验结果表明,该免疫克隆多目标优化算法可以更好地改善网络覆,有效实现无线传感网络的覆盖优化。

Wireless sensor network can be applied to the large-scale regional monitoring, solve the problem of network optimal cov-ered. This paper presents a multi-objective optimization algorithm based on immune clone. Artificial immune principle, introducedthe algorithm, the multiple constraints into a binding targets, and then turn the problem into a two objective optimization problem.The multi-objective optimization combined with immune clone algorithm, improve the network coverage of coverage. The experi-mental results show that the immune clone multi-objective optimization algorithm can better improve network, wireless sensor net-work coverage optimization effectively.