摘要
无线传感器网络(WSNs)的优化部署能够提高网络的生存时间、增强系统的可靠性。主要针对传感器网络节点的覆盖问题,提出一种新型的虚拟力蛙跳策略,利用虚拟力算法中的引、斥力因子对蛙跳算法中群体和模因组的最优解进行优化,使蛙跳算法能够迅速跳出局部极值,进行全局搜索。分析和仿真同时表明:该策略能够快速优化传感器网络布局,具有良好的收敛性,更好的网络覆盖率,更加接近于理论覆盖值。
Optimized deployment of wireless sensor networks （ WSNs ） can improve lifetime of network, and enhance reliability of system. Aiming at problem of coverage of sensor nodes, propose a new type of virtual force leapfrog strategy, using factors of attraction and repulsion of virtual force algorithm, to optimize the optimal solution of groups and memes group in leapfrog algorithm, and make leapfrog algorithm quickly jump out of local minima, and then search globally. Analysis and simulation results both demonstrate that this strategy can optimize deployment of sensor network rapidly, has good convergence and coverage rate, which is more close to the theoretical value.
出处
《传感器与微系统》
CSCD
北大核心
2014年第6期49-51,60,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(11204046)
贵州省科技厅工业攻关项目(黔科合GY字[2010]3056)
贵州大学研究生创新基金资助项目(研理工2014007)
关键词
虚拟力蛙跳策略
虚拟力
蛙跳算法
覆盖率
virtual force leapfrog strategy
virtual force
leapfrog algorithm
coverage rate
