摘要
为了提高具有覆盖优先级的异构WSN的覆盖率,本文提出了一种基于the multiplicatively weighted voronoi(MWVoronoi)图理论的覆盖空洞修复方法.在异构WSN中应用M W-Voronoi图理论进行区域划分,再结合区域中不同位置的覆盖优先级和传感器节点的感知半径准确获取传感器节点的局部加权覆盖面积,接着运用本文所提方法计算出传感器节点候选位置并调整其的位置,使传感器节点到达的最佳部署位置并获得网络的最大整体加权覆盖面积,进而完成异构WSN覆盖空洞修复的任务.仿真实验结果表明,与the maximum weighted point(MWP)方法相比,本文所提出的方法更适用于具有覆盖优先级的异构WSN覆盖空洞的修复,在保证网络覆盖质量的前提下能减少空洞修复时间.
In order to improve the coverage of heterogeneous WSN with the coverage priority,this paper proposes a method of holes recovery based on the multiplicatively weighted voronoi(MW-Voronoi)diagram theory.In the heterogeneous WSN,the MW-Voronoi diagram theory is applied to divide the field,and then the local weighted coverage of the sensors is obtained accurately based on the coverage priority of different locations and the sensing radius of the sensors,and then the proposed method is used to calculate the location of sensors and adjust their positions so that the sensors reach the optimal deployment location and obtain the maximum total weighted coverage of the network,so as to complete the task of repairing the coverage hole in heterogeneous WSN.The simulation results show that compared with the maximum weighted point(MWP)method,the method proposed in this paper is more suitable for the holes recovery of heterogeneous WSN with the coverage priority,which can reduce the time for holes recovery under the premise of ensuring the quality of the coverage of the network.
作者
赵逢达
默云凤
孔令富
景荣
ZHAO Feng-da;MO Yun-feng;KONG Ling-fu;JINGRong(College of Information Science and Engineering,Yanshan University,Qinhuangdao 066004,Chin;Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province,Yanshan University,Qinhuangdao 066004,China)
出处
《小型微型计算机系统》
CSCD
北大核心
2018年第11期2392-2397,共6页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(60975062)资助
河北省自然科学基金青年科学基金项目(F2018203390)资助
燕山大学博士基金项目(BL18018)资助
燕山大学青年教师自主研究计划项目(15LGA009)资助