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首页> 外文期刊>AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication >CWSC: Connected k-coverage working sets construction algorithm in wireless sensor networks
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CWSC: Connected k-coverage working sets construction algorithm in wireless sensor networks

机译:CWSC:无线传感器网络中的连接k覆盖工作集构建算法

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摘要

One of the most important issues for wireless sensor networks is to get a long network lifetime without affecting either communication connectivity or sensing coverage. Many sensors that are deployed randomly in a dense sensor network in a redundant way waste a lot of energy. One effective way to save energy is to let only a subset of sensors work at any given time. In this paper, we mainly consider such a problem. Selecting the minimum number of connected sensor nodes that can provide k-coverage (k ≥ 1), i.e., selecting a subset S of working sensors, such that almost every point in the sensing region can be covered by at least k sensors and the sensors in S can form a connected communication subgraph. We propose a connected k-coverage working sets construction algorithm (CWSC) based on Euclidean distance to k-cover the sensing region while minimizing the number of working sensors. CWSC can produce different coverage degrees according to different applications, which can enhance the flexibility of the sensor network. Simulation results show that the proposed algorithm, which can conserve energy and prolong the lifetime of the sensor network, is better than the previous algorithms.
机译:无线传感器网络最重要的问题之一是要延长网络寿命,而不影响通信连接性或传感范围。在冗余传感器网络中以冗余方式随机部署的许多传感器会浪费大量能量。节能的一种有效方法是在任何给定时间仅让一部分传感器工作。在本文中,我们主要考虑这样的问题。选择可以提供k个覆盖范围(k≥1)的已连接传感器节点的最小数量,即选择工作传感器的子集S,以使感测区域中的几乎每个点都可以被至少k个传感器和传感器覆盖在S中可以形成一个连通的通信子图。我们提出了一种基于欧几里得距离的连接的k覆盖工作集构建算法(CWSC),以在最小化工作传感器数量的同时k覆盖感知区域。 CWSC可以根据不同的应用产生不同的覆盖度,从而可以增强传感器网络的灵活性。仿真结果表明,所提出的算法能够节约能源,延长传感器网络的寿命,优于以前的算法。

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