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Design and Performance evaluation of Sugeno fuzzy interface system for multi-disciplinary WSNs applications with optimized network structure

机译:优化网络结构的多学科无线传感器网络Sugeno模糊接口系统设计与性能评估

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摘要

Mobile Sensor Network (MSN) is highly portable to acquire multi-disciplinary activities in the field of Military, Agriculture, Medical and Home appliances etc. The spatially scattered self-directed mobile nodes are brought forward gathered information and display optimal network environmental condition for further process to get relevant results. Hence, it is battery operated and thereby proper clustering, load balancing strategy is required to avoid energy consumption problem. In this paper, Mobility over Energy Aware Adaptive Cluster based Routing (M-EAAC) protocol is proposed for multi-disciplinary. WSN infrastructure, Fuzzy logic is used to select the performance guarantee Cluster Head (CH) with respect to node's energy and communication cost (infra-cluster). It ensures energy efficient data transmission by changing the role of CH for every round from updating energy level and current location of its neighbor's node. The functions of proposed protocol is carried by following sections such as Network Partitioning phase, Localization phase, Clustering phase, CH selection phase, Route Discovery phase, CH re-election phase and Load Balancing phase.
机译:移动传感器网络(MSN)具有高度的可移植性,可用于军事,农业,医疗和家用电器等领域的多学科活动。空间分散的自定向移动节点可提供收集的信息并显示最佳的网络环境条件,以便进一步获得相关结果的过程。因此,它是电池供电的,因此需要适当的群集,因此需要负载平衡策略来避免能耗问题。本文针对多学科提出了基于能量感知的移动性自适应集群路由(M-EAAC)协议。在WSN基础架构中,模糊逻辑用于根据节点的能源和通信成本(集群)选择性能保证簇头(CH)。通过从更新能量水平和邻居节点的当前位置改变CH的作用,它确保了节能的数据传输。所提议协议的功能由以下部分承担,例如网络分区阶段,本地化阶段,群集阶段,CH选择阶段,路由发现阶段,CH重选阶段和负载平衡阶段。

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