模糊Topsis和SAW算法在无线传感器网络路由服务质量性能方面的比较

Muhammad Hafizd Ibnu Hajar, G. Hakim, A. Firdausi, Eko Ramadhan
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引用次数: 1

摘要

无线传感器网络的优点之一是能够降低使用节点到节点通信的通信系统的成本。由于数据传输的诸多原因,无线传感器网络的运行有时会受到干扰。路由算法是一种网络编码,旨在提高网络性能,以便在有或没有任何干扰的情况下更好地运行。针对无线传感器网络运行中的路由算法,提出了模糊TOPSIS和SAW作为MCDM算法。与最短路径路由相比,SAW和Fuzzy-Topsis算法都可以用于网络编码(路由),为无线传感器网络提供更好的QOS。对于延迟,它在大约2/3(最短路径路由50毫秒,SAW和Fuzzy-Topsis算法均为33毫秒)处表现更好,并且对于分组丢失,它在约3/4(最短通路路由21比特丢失,SAW与Fuzzy-Top sis算法均16比特丢失)处表现得更好。从我们的仿真来看,SAW和Fuzzy-Topsis算法都具有较低的延迟和分组丢失,但成本较高,通信信道跳变较多(最短路径路由3跳变,SAW与Fuzzy-Top sis算法都跳变5跳变)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison in Quality of service Performance For Wireless Sensor Network Routing between Fuzzy Topsis and SAW Algorithm
one of the advantages of Wireless Sensor Network would be its ability to reduce cost of communication system using node to node communication. Because of many things data transfer is Wireless Sensor Network operation sometimes has disturbance. A routing algorithm is a network coding that intends to enhance network performance for better operation with or without any disturbance. Fuzzy TOPSIS and SAW as MCDM algorithm is proposed for routing algorithm in Wireless Sensor Network operation. From our simulation both SAW  and Fuzzy Topsis algorithm can be used in network coding (routing) to provide better QOS for Wireless Sensor Network compare with shortest path routing. For delay it perform better at about 2/3 (shortest path routing 50 millisecond, both SAW and Fuzzy Topsis algorithm 33 millisecond), and for packet loss at about 3/4 (shortest path routing 21 bit loss, both SAW and Fuzzy Topsis algorithm 16 bit loss). From our simulation both SAW and Fuzzy Topsis algorithm algorithm has benefit which is lower delay and packet loss but at higher cost which is more hopping for communication channel (shortest path routing 3 hopping, both SAW and Fuzzy Topsis algorithm 5 hopping)
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