A Case Study of Optimum Energy efficientroutingusing SAA Approach for WSN

Priyanka Chourey, I. Khan
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Abstract

: The IOT based wireless sensors network (WSN) gas become an integral part of many smart applications for acquiring data over cloud/servers. Since life of networks are restricted by power availability of sensors. As sensor node acts as a switch in the network thus, assurance of efficient routing becomes the essential part to prolonging the utilization of energy. Therefore, it is mandatory to enhance the energy efficiency of these WSN systems. The sleep aware and awake method is widely used for saving the energy of the WSN networks. This paper proposes to design an efficient routing algorithm for WSN networks via examination and testing of numerous state of art routing protocols related to WSN. The optimum parametric selection approach is used for designing the energy efficient O-EESAA protocol. Different experiments were conducted to test the efficiency and current clustering dependent EESAA protocol of the proposed optimal design. Performance is compared based on the network life time, alive nodes, latency as FND, and the number of packets transmitted. Overall proposed energy model is good enough to improve the energy uses of WSN.
基于SAA方法的无线传感器网络最优能效调度实例研究
基于物联网的无线传感器网络(WSN)已成为许多智能应用程序的一个组成部分,用于通过云/服务器获取数据。由于网络的寿命受到传感器功率可用性的限制。由于传感器节点在网络中扮演着交换机的角色,因此保证有效的路由成为延长能量利用率的关键。因此,提高无线传感器网络系统的能效势在必行。为了节省无线传感器网络的能量,睡眠感知和唤醒方法被广泛采用。本文通过对现有的无线传感器网络路由协议的研究和测试,提出了一种有效的无线传感器网络路由算法。采用最优参数选择方法设计了高效节能的O-EESAA协议。通过不同的实验来测试所提出的优化设计的效率和当前依赖聚类的EESAA协议。根据网络生存时间、活动节点、FND延迟和传输的数据包数量对性能进行比较。总的来说,所提出的能量模型足以提高无线传感器网络的能量利用率。
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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