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首页> 外文期刊>International journal of engineering research and industrial applications >AN EFFICIENT ROUTING METHOD TO IMPROVE PERFORMANCE OF WSN USING A-STAR ALGORITHM AND FUZZY APPROACH
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AN EFFICIENT ROUTING METHOD TO IMPROVE PERFORMANCE OF WSN USING A-STAR ALGORITHM AND FUZZY APPROACH

机译:一种利用A星算法和模糊方法提高无线传感器网络性能的有效路由方法

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摘要

Energy conservation is a critical problem in wireless sensor networks (WSNs) so that the energy consumption must be minimized while satisfying application requirements. Distributing energy dissipation evenly throughout the sensors and saving energy are important goals in designing of WSN protocol. Resource limitations have to be taken into account when designing a WSN infrastructure. Unbalanced energy consumption is an inherent problem in WSNs, characterized by multihop routing and a many-to-one traffics pattern. This uneven energy dissipation can significantly reduce network lifetime. This paper shows the implementation of algorithm having combination of fuzzy approach and A-star algorithm. It shows the comparison of new method with existing methodologies. While approaching we must consider some criteria like remaining battery power of each node, minimum number of nodes in touting path, minimum traffic load. To demonstrate the effectiveness of the new method in terms of balancing energy consumption, maximization of network lifetime and various parameters of WSN, we compare our approach with the A-star search algorithm and fuzzy approach using the same routing criteria. Simulation results demonstrate that the network lifetime and improvement in performance of parameter achieved by the new method increased to considerable extent.
机译:节能是无线传感器网络(WSN)中的关键问题,因此必须在满足应用要求的同时将能耗降至最低。在传感器中均匀分布能量并节省能量是WSN协议设计的重要目标。设计WSN基础结构时必须考虑资源限制。能耗不平衡是WSN的固有问题,其特征在于多跳路由和多对一流量模式。这种不均匀的能量消耗会大大缩短网络寿命。本文展示了将模糊方法与A-star算法相结合的算法的实现。它显示了新方法与现有方法的比较。在接近时,我们必须考虑一些标准,例如每个节点的剩余电池电量,在漫游路径中的最小节点数,最小流量负载。为了证明新方法在平衡能耗,最大化网络寿命和WSN的各种参数方面的有效性,我们将我们的方法与A-star搜索算法和使用相同路由标准的模糊方法进行了比较。仿真结果表明,该方法的网络寿命和参数性能的提高幅度较大。

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