通信学报2017，Vol.38Issue(6)：97-107,11.DOI:10.11959/j.issn.1000-436x.2017118
基于加权虚拟力模型的锚节点移动策略的研究
Research on mobile strategy of anchor node based on weighted virtual force model
摘要
Abstract
The existing mobility strategy of the anchor node in wireless sensor network (WSN) has the shortcomings of too long moving path and low positioning accuracy when the anchor node traverses the network voids area. A new mobility strategy of WSN anchor node was proposed based on an improved virtual forces model. The number of neighbor nodes and the distance between the neighbor nodes to the anchor nodes were introduced as their own dense weight attributes. The unknown nodes in-tensity was used as weights to improve the traditional virtual force model. Meantime the distance-measuring errorε was taken into account. The optimal distribution, direction selection, shift step length and fallback strategy of anchor node could be ana-lyzed by the trilateration. Using the number of virtual beacon received by the unknown node and the distance between the un-known node to the anchor node calculate the virtual force. Then according to the virtual force, the direction was chosen and the anchor nodes were moved. Simulation experiments show that the strategy can make the anchor nodes move according to the specific circumstances of unknown node distribution. It has a high positioning accuracy and strong adaptability. It can success-fully shorten the path of the anchor node movement and reduce the number of virtual beacon. Moreover it can effectively avoid the anchor node to enter the network voids area and reduce the number of collinear virtual anchor nodes.关键词
无线传感器网络/虚拟力/移动锚节点/移动策略Key words
wireless sensor network/virtual force/mobile anchor node/mobile strategy分类
信息技术与安全科学引用本文复制引用
魏连锁,蔡绍滨,潘实..基于加权虚拟力模型的锚节点移动策略的研究[J].通信学报,2017,38(6):97-107,11.基金项目
国家自然科学基金资助项目(No.61571150) （No.61571150）
教育部新世纪人才支持计划基金资助项目(No.NCET-13-0753) （No.NCET-13-0753）
教育部博士点基金资助项目(No.20132304110031) （No.20132304110031）
黑龙江省自然科学基金资助项目(No.42400621-1-14076) （No.42400621-1-14076）
哈尔滨市科技创新人才研究专项基金资助项目(No.2014RFQXJ012) （No.2014RFQXJ012）
华侨大学科研基金资助项目(No.16BS303)The National Natural Science Foundation of China (No.61571150), New Century Excellent Talents in University Program (No.NCET-13-0753), Doctoral Program of the Ministry of Education (No.20132304110031), The Natural Science Founda-tion of Heilongjiang Province (No.42400621-1-14076), Specialized Research Fund for the Innovation Natural Talents of Science and Technology (No.2014RFQXJ012), Scientific Research Foundation of Huaqiao University (No.16BS303) （No.16BS303）
