iPV微系统提供的WSN能耗建模

Abir Kessebi, B. Rezig
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引用次数: 0

摘要

当前无线传感器网络的研究重点是降低网络总能耗和延长网络寿命。无线传感器网络在工业、医疗、商业和住宅等领域有着广泛的应用。本文的主要目标是利用MATLAB/Simulink仿真来评估基于聚类拓扑的WSN的平均能耗;预测最优簇数以优化能量,并研究云集成对寿命和能量时间依赖性的影响。聚类拓扑是基于定义有N/ K个节点的K个集群,每个节点将数据传输到集群头部,集群头部将从其所有节点收集数据,计算并发送给基站(BS)。在我们的仿真中,我们关注了WSN中的许多主要指标,如最优簇数、占空比、寿命和到BS的距离。最后,我们研究了将云集成到经典WSN中的影响,以及在能量消耗和传感器节点寿命方面的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of WSN Energy Consumption Supplied by iPV Microsystem
Current researches on wireless sensor networks (WSN) are focusing on reducing the total amount of energy consumption and extending the network lifetime. WSN have many application fields like industry, health care, commercial and residential applications. The main goal of this paper is to evaluate, using MATLAB/Simulink simulations, the average amount of energy consumed in a WSN based on a clustering topology; to predict the optimal number of clusters in order to optimize the energy and also to study the cloud integration effects on lifetime and energy time dependency. The clustering topology is based on defining K clusters with N/k nodes, each node transmits data to the cluster head which will collect data from all of its own nodes, compute it and send it to the base station (BS). In our simulation, we have focused on many principal metrics in WSN such as optimal number of clusters, duty cycle, lifetime and distance to BS. Finally we have studied the effect of integrating cloud into classic WSN, the effect in terms of energy consumption and sensor node lifetime.
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