摘要
针对无线感知执行网中的节点协作问题,提出了多目标智能协作策略。在感知节点不完全连通的WSANs中,设计局部感知节点成簇算法,实现感知节点间的通信协作;以网络能耗均衡和信息传输时延为目标,应用离散多目标自由搜索算法对WSANs进行实时路径规划,实现簇头节点和执行节点间的协作,并通过路径惩罚策略和路径均衡策略,保证寻优结果的有效性、均衡执行节点之间的能耗。仿真实验表明:无线感知执行网智能协作机制能有效地选择多执行节点路径,实现网络协作的实时需求与能量消耗之间的平衡。
A new muhiobjective intelligent coordination strategy is proposed to solve nodes coordination problem in wireless sensor and actor networks. As for the sensors in WSANs are incomplete connected, the local sensors clustering algorithm is designed to ensure communication between sensors. During the coordination between the cluster heads and the actors, network energy consumption equilibrium and network sampling period are the optimization goals, the discrete multi-objective free search algorithm is used to program actor route. Route punishment strategy and route equilibrium strategy is proposed to ensure the effectiveness of optimal results and balance actors energy consumption. Sinmlation results show that the intelligent coordination mechanism for WSANs can effectively program multi-actors route, and achieve equilibrium between network real-time coordination requirement and energy consummption.
出处
《传感技术学报》
CAS
CSCD
北大核心
2012年第5期665-672,共8页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金项目(60901041)
南通大学研究生科技创新计划项目(YKC11056)
南通市应用研究计划项目(K2010015)
江苏省教育厅产业化项目(JH09-24)
关键词
无线传感器网络
无线感知执行网
多目标优化
自由搜索算法
节点协作机制
wireless sensor networks
wireless sensor and actor networks
multi-objective optimization
free search
coordination mechanism