New methods of routing for the reduction of energy consumption in wireless sensor network

A. Baradaran, H. Qamsarizadeh, H. Heidari
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Abstract

Wireless sensor network consist of some nodes. Each node is responsible for gathering environment data and sending it to BS in order for received data to be analyzed. One of the main problems of this kind of network is the little primary energy of nodes and the little space of node memories. Each time data is sensed, node energy is reduced. Continuation of this situation results in the reduction of network lifetime or death. Suitable methods are presented for data transfer from nodes to BS. These methods have been able to optimize energy consumption in comparison with similar previous methods. One of the methods of acceptable optimization of energy consumption and network lifetime is the use of genetic algorithm in the network process of routing. Each method makes to using of different parameters that these parameters have created strengths and weaknesses. In this research, we present useful solutions for the reduction of energy consumption in network by the use of genetic algorithm. The main idea is to consider the methods proposed in recent years. The simulation results of creditable essays have been used to show the strong and weak parts of presented methods. Then, optimization solutions have been proposed by the use of simulation results and the weaknesses of existing methods.
降低无线传感器网络能耗的路由新方法
无线传感器网络由若干节点组成。每个节点负责收集环境数据并将其发送给BS,以便对接收到的数据进行分析。这种网络的主要问题之一是节点的主能量小,节点存储空间小。每感知一次数据,节点能量就会减少。这种情况的持续将导致网络寿命的缩短或死亡。提出了从节点到数据传输的合适方法。与以前的类似方法相比,这些方法能够优化能耗。在网络路由过程中使用遗传算法是实现能耗和网络寿命可接受优化的方法之一。每种方法都使用不同的参数,这些参数产生了优点和缺点。在本研究中,我们提出了利用遗传算法降低网络能耗的有用解决方案。主要思想是考虑近年来提出的方法。通过论文的仿真结果,展示了所提方法的优缺点。然后,利用仿真结果,结合现有方法的不足,提出了优化方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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