摘要
能量约束是无线传感网络测量控制的关键问题之一.本文针对移动节点位置优化问题,提出了无线传感网络通信能耗评价指标,采用微粒群优化策略更新节点位置,使无线传感网络具有更强的灵活性和能效性.利用Dijkstra算法获得网络最优通信路径计算能耗评价指标.采用动态能量控制策略使空闲节点进入睡眠状态减少网络运行能耗.通过优化能量指标降低了通信能耗,实现了无线传感网络覆盖与通信能量消耗的合理均衡.对移动目标跟踪仿真表明,覆盖能效优化算法与动态能量控制策略相结合提高了无线传感网络覆盖的能效性.
Energy constraint is one of the key issues for measurement and control in wireless sensor networks. A strategy for optimizing the placement of mobile sensor nodes is proposed, and energy metric of communication is presented for energy efficiency in this paper. The strategy can meet coverage and energy requirements, providing flexibility and adaptability for different energy constraints in wireless sensor networks. Dijkstra's algorithm is utilized to obtain the optimal paths from which energy metric is derived. Dynamic power management is used to optimize the transition of sleeping states in order to conserve system energy. Balance between coverage and energy consumption is achieved by optimizing energy metric and adjusting the metric weight of optimization. Simulations of mobile target tracking are carded out to verify that energy-efficiency enhanced by coverage optimization algorithm and dynamic energy management strategy.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2007年第6期964-968,共5页
Control Theory & Applications
基金
"973"国家重点基础研究规划项目(2006CB303000)
国家自然科学基金资助项目(60673176
60373014
50175056).
关键词
无线传感网络
覆盖
能效
动态能量控制
wireless sensor networks
coverage
energy-efficiency
dynamic power management