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机构地区:[1]江南大学物联网工程学院,江苏无锡214122
出 处:《郑州大学学报(工学版)》2017年第4期73-77,共5页Journal of Zhengzhou University(Engineering Science)
基 金:国家自然科学基金资助项目(61105128;61170119;61373055);江苏省自然科学基金资助项目(BK20131106;BK20130161);江南大学自主科研计划重点项目资助项目(JUSRP51410B);中国博士后基金资助项目(2014M560390)
摘 要:针对三维空间内无线传感器网络(wireless sensor network,WSN)的覆盖优化问题,提出了一种基于Voronoi盲区的三维无线传感器网络覆盖优化算法(blind-zone centroid-based scheme in three dimensional wireless sensor network area,BCBS-3D).BCBS-3D算法对随机部署的无线传感器进行Voronoi图划分,依据传感器对应的三维Voronoi多面体的覆盖情况构造盲区图,将三维Voronoi盲区重心为候选优化位置,最大化覆盖监测区域.仿真结果表明,在基于Voronoi图的情况下,BCBS-3D算法在覆盖率和平均移动距离方面具有优势.For the problem of coverage optimization in Wireless Sensor Network (WSN) , a blind-zone cen- troid-based scheme in three dimensional area(BCBS-3D) was proposed. In the three-dimensional monitoring region, BCBS-3D partitioned random sensors by Voronoi diagram. According to the coverage of three dimen- sional Voronoi polyhedron, blind-zone diagram could be constructed clearly. BCBS-3D also regarded the cen- troid of blind-zone area as the optimal position, so as to maximize the monitoring area. Simulation results showed that BCBS-3D hadobvious advantages in coverage rate and distance compared with other algorithms that based on Voronoi diagram.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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