基于布尔感知模型的N段有向覆盖与 K重全向覆盖
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(1. 海军航空工程学院信息融合技术研究所,山东烟台 264001,2.海军航空工程学院青岛校区,山东青岛 266041; 3.92768部队,广东汕头 515828;4.92635部队,山东青岛 266041;5.总参气象水文局,北京 100081)

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TP393

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From Directional N Segments Coverage to Omnidirectional K-Coverage Based on Boolean Perceptual Model
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(1. Naval Aeronautical and Astronautical University Research Institute of Information Fusion, Yantai Shandong 264001, China; 2.Naval Aeronautical and Astronautical University Qingdao Branch, Qingdao Shandong 266041, China;3. The 92768th Unit of PLA, Shantou Guangdong 515828, China; 4. The 92635th Unit of PLA, Qingdao Shandong 266041, China;5. The General Staff Meteorological and Hydrological Bureau, Beijing 100081, China)

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    摘要:

    针对无线传感器网络节点的布尔感知模型,在满足覆盖要求的条件下,文章对N段有向感知中邻近段之间等概率跳变或以恒定角速度ω扫描 2种情况,分别给出传感器节点工作在有向感知模型下的分段数N与全向模型下的覆盖重数K之间的关系表达式。之后,进一步对节点以恒定角速度ω扫描,考虑时间积累的条件下,给出了时间m、分段数N与覆盖重数K的表达式。通过以上研究,可以将有向感知模型的覆盖问题转化为求取全向感知模型下的覆盖重数问题。

    Abstract:

    Aiming at Boolean perceptual model in wireless sensor network, under the premise of coverage require. ments, for two different situations, whether node was equal probability hopping or scanning at a constant angular velocity, the relationship expression was given between the number of segments N in directional model and the covering weight number K in omnidirectional model by means of concrete analysis and probability calculation. Furthermore, under the circumstances of node was scanning at a constant angular velocity,considering the time factor, an expression was also given between the number of segments N and the covering weight number K. Based on these studies,seeking to the coverage problem under directional perceptual model could be converted to strike coverage multiplicity under omnidirectional perceptual model.

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薛兴亮,高玉章,孙荣凯,谢志敏.基于布尔感知模型的N段有向覆盖与 K重全向覆盖[J].海军航空大学学报,2013,28(2):115-118
XUE Xing-liang, GAO Yu-zhang, SUN Rong-kai, XIE Zhi-min. From Directional N Segments Coverage to Omnidirectional K-Coverage Based on Boolean Perceptual Model[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2013,28(2):115-118

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  • 在线发布日期: 2016-03-21
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