一种多目标的覆盖优化策略在WSNs中的应用

发布时间：2018-03-27 14:15

本文选题：无线传感器网络　切入点：能量均衡　出处：《传感器与微系统》2014年10期

【摘要】：针对目前无线传感器网络(WSNs)能量均衡覆盖策略大都基于节点静态感知能耗的不足,提出一种基于节点的动态能耗和网络覆盖率的多目标覆盖优化策略。该优化覆盖策略将动态路由协议引入到覆盖控制优化中,计算覆盖区域在不同节点分布下的动态通信能耗和网络的剩余能量,再结合区域覆盖率构成对覆盖和能量综合指数评价的优化函数。最后利用改进差分进化算法和差分进化算法对优化函数进行仿真,并利用覆盖结果验证策略的有效性。仿真结果表明:提出的覆盖优化策略既能使网络达到较高覆盖率,同时又能保证网络的能耗动态均衡,并将改进差分进化算法与常规差分进化算法比较,结果表明:前者克服了早熟现象,覆盖和能量的综合优化函数值更高,达到了6.184。
[Abstract]:At present, the energy balance coverage strategy of WSNs in wireless sensor networks is mostly based on the lack of static sensing energy consumption of nodes. A multi-objective coverage optimization strategy based on node dynamic energy consumption and network coverage is proposed, which introduces dynamic routing protocol into coverage control optimization. The dynamic communication energy consumption and the residual energy of the network are calculated under different nodes distribution in the coverage area. Finally, the improved differential evolutionary algorithm and differential evolutionary algorithm are used to simulate the optimization function. The simulation results show that the proposed coverage optimization strategy can not only achieve high coverage, but also ensure the dynamic equilibrium of network energy consumption. The improved differential evolution algorithm is compared with the conventional differential evolution algorithm. The results show that the former overcomes the precocious phenomenon, and the comprehensive optimization function of coverage and energy is higher, reaching 6.184.
【作者单位】：江南大学物联网工程学院;
【基金】：江苏省六大人才高峰资助项目(2012—WLW—006) 国家自然科学基金资助项目(21206053)
【分类号】：TP212.9;TN915.04;TP18

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