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首页> 外文期刊>Asian Journal of Information Technology >Soft Set Matrix Optimization Based Node Selection in Wireless Sensor Networks
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Soft Set Matrix Optimization Based Node Selection in Wireless Sensor Networks

机译：无线传感器网络中基于软集矩阵优化的节点选择

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摘要

The nodes in the wireless sensor networks can be scheduled for sleep and active states in order to prolong the life time. The various parameters from different layers are utilized for scheduling. It leads the optimization problem while implementing in real time. This research describes the optimization in decision theory for non convex problems. In this study, a novel methos presented to solving this type of optimization by soft set matrix method. The proposed Soft set Node matrix (SN) is finding the strong node based on cyclic and pivotal element selection methods. It is applicable to solving different parameters of the nodes without compromising the scalability issues. The numerical results are also provided for verifying the feasibility of the algorithm.
机译：可以为无线传感器网络中的节点安排睡眠和活动状态，以延长其使用寿命。来自不同层的各种参数被用于调度。实时实施时会导致优化问题。这项研究描述了非凸问题的决策理论优化。在这项研究中，提出了一种新颖的方法来通过软集矩阵方法来解决此类优化问题。所提出的软集节点矩阵（SN）正在基于循环和关键元素选择方法找到强节点。它适用于解决节点的不同参数而不会影响可伸缩性问题。数值结果也为验证该算法的可行性提供了依据。

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