摘要
针对在由固定骨干节点和移动传感器节点组成的无线传感器网络(WSNs)中,固定节点作用在移动节点的虚拟力,造成对移动节点位置移动的阻碍,在群聚智能优化思想的基础上,提出一种解决异构移动传感器网络的覆盖策略。该策略通过调整虚拟力距离阈值参数来改善固定节点作用在移动节点上的虚拟力;用虚拟力影响群聚智能算法中粒子速度和距离的进化,以节点有效覆盖率为适应值,指导微粒进化。仿真实验表明:虚拟力导向群聚智能策略能有效实现异构无线传感器网络节点布局优化,提高网络覆盖率,且收敛速度快。
In wireless sensor networks （WSNs）, it consists of fixed nodes and mobile sensor nodes, virtual force which is acted on mobile node by fixed nodes result in position moving obstacles of mobile nodes. A coverage algorithm for solving heterogeneous mobile sensor networks is proposed based on swarm intelligence optimization idea. The coverage algorithm adjusts virtual force distance threshold parameters to improve virtual force of fixed nodes acted on mobile nodes; virtual force influences particle speed and evolutionary of distance for swarm intelligence optimization algorithm. Take effective coverage of node as adaptation values to guide particle evolution. Simulation results show that virtual force directed swarm intelligence optimization strategy can effectively realize layout optimization heterogeneous WSNs node, improves network coverage and convergence speed is fast.
出处
《传感器与微系统》
CSCD
2015年第1期40-42,46,共4页
Transducer and Microsystem Technologies
基金
山西省自然科学基金资助项目(2012011013-2)
山西省回国留学人员科研资助项目(2013-049)
山西大学商务学院院级基金资助项目(2014009)
