OPTIMIZED ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORK ROUTING BY GENETIC ALGORITHM

Dadmehr Rahbari
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Abstract

The wireless sensor network is set of hundreds or thousands nodes, where each node is connected to one or sometimes several sensors. A WSN integrated circuits, sensor, embedded computing, modern network, Wireless communication and distributed information processing. Wireless sensor networks, a technology acquisition and processing of information. Recent developments in the course of it, in order to miniaturization and low power design. They act as a gateway between sensor nodes and the end user as they typically forward data from the WSN on to a server. Other special components in routing based networks are routers, designed to compute, calculate and distribute the routing tables. The project dealt with the problem of routing wireless sensor networks for energy balance. To optimize the solution, genetic algorithm is proposed. Key points when choosing the cluster center is proposed for placement algorithm. In this paper, the proposed standard algorithms, simulated results based on the parameters of the number of dead nodes, the number of bits transmitted to a base station, the number of bits sent to the heads of energy consumption compared repetitions and show superiority over the network the proposed algorithm is relative.
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利用遗传算法优化无线传感器网络路由中的能量消耗
无线传感器网络由数百或数千个节点组成,每个节点连接到一个或多个传感器。WSN有集成电路、传感器、嵌入式计算、现代网络、无线通信和分布式信息处理。无线传感器网络,一种获取和处理信息的技术。近年来在它的发展过程中,以小型化和低功耗设计为主。它们充当传感器节点和最终用户之间的网关,因为它们通常将数据从WSN转发到服务器。基于路由的网络中的其他特殊组件是路由器,用于计算、计算和分发路由表。本课题研究了无线传感器网络能量平衡的路由问题。为了优化解,提出了遗传算法。提出了聚类中心选择的关键问题。本文对所提出的标准算法进行了比较,根据仿真结果对死节点数、发送到基站的比特数、发送到头的比特数等参数进行了能耗重复比较,显示了所提出算法相对于网络的优越性。
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