| 摘要: |
| 研究异构传感环境下移动对象的反监控问题,提出一种暴露模型,该模型可用于近似估算移动对象穿越各向异性传感器网络时的风险.并在此基础上,结合各向异性Voronoi 图提出了一种路径判定算法,该算法能够保障移动对象选择一条具有近似最小风险的路径穿越各向异性传感器网络区域.理论分析和实验结果表明,算法具有良好的反监控性能.另外,算法只需知道移动对象侦测半径之内的局部信息,因此也具有分布式和实用性等良好特性. |
| 关键词: 反监控 各向异性传感器网络 各向异性Voronoi 图 暴露模型 |
| DOI：10.3724/SP.J.1001.2011.03821 |
| 分类号: |
| 基金项目:湖南大学“中央高校基本科研业务费”; 福建工程学院科研基金(GY-Z10050,GY-Z10070) |
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| Anti-Monitoring Algorithm for Mobile Object in Anisotropic Sensory Networks |
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WANG Lei1,2, JIANG Xin-Hua1, WANG Yi-Min2, LIN Ya-Ping2
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1.Electronic Information and Electric Engineering Department, Fujian University of Technology, Fuzhou 350108, China;2.College of Software, Hu’nan University, Changsha 410082, China
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| Abstract: |
| After researching the anti-monitoring problem on mobile objects in the heterogeneous sensory field, a new Exposure model is proposed, which can be used to estimate the approximate risk of a mobile object moving along a path to traverse the sensory field deployed with anisotropic sensor nodes. Based on the newly proposed Exposure model, a novel decision algorithm for path selection is designed by combing the Anisotropic Voronoi Tessellation schemes, which guarantee that the mobile object can select a suitable path with a minimal approximately risk of traveling across the anisotropic sensory field. Theoretical analyses and simulation results show that the new algorithm has a good anti-monitoring performance and requires only that the mobile object should know the local information in its detection radius, so it is distributed and practical. |
| Key words: anti-monitoring anisotropic sensor network anisotropic Voronoi tessellation exposure model |
