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An Optimized Strategy Coverage Control Algorithm for WSN

机译:无线传感器网络的优化策略覆盖控制算法

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The problem of using lesser wireless sensor network nodes to achieve coverage and connection of certain areas under given coverage conditions is a priority and hotspot issue of WSN. For this reason, in this paper, an optimized strategy coverage control (OSCC) algorithm is proposed. First of all, a relation mapping model of sensor nodes and target nodes is established by OSCC which is based on geometric figure and related theories, probability theory, converge property, and so forth to complete effective reasoning and calculate certain network models. Secondly, OSCC makes efficient analysis of the calculating results figure out the least number of sensor nodes to cover specific monitoring area. Thirdly, OSCC picks out the optimal routing solution while conducting combinatorial optimization of routing path using ant colony optimization (ACO) algorithm, thus reducing the energy spending of whole network. In the end, this paper verifies OSCC algorithm by simulation experiment and proves it can use least sensor nodes to effectively cover target area. Also, OSCC helps greatly reduce network energy consuming, minimize network resources layout costs, and enhance network life cycle, simultaneously.
机译:在给定的覆盖条件下使用较少的无线传感器网络节点来实现某些区域的覆盖和连接的问题是WSN的优先级和热点问题。因此,本文提出了一种优化的策略覆盖控制算法。首先,基于几何图形及相关理论,概率论,收敛性等,通过OSCC建立传感器节点与目标节点的关系映射模型,以完成有效的推理并计算出一定的网络模型。其次,OSCC对计算结果进行有效分析,找出覆盖特定监视区域的最少传感器节点数。第三,OSCC在采用蚁群优化(ACO)算法进行路由路径组合优化的同时,选择了最佳的路由解决方案,从而降低了整个网络的能耗。最后,通过仿真实验验证了OSCC算法的有效性,证明了该算法可以使用最少的传感器节点有效覆盖目标区域。而且,OSCC有助于同时减少网络能耗,最小化网络资源布局成本并延长网络生命周期。

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