Comparative Analysis of Route Information Based Enhanced Divide and Rule Strategy in WSNs

Q3 Computer Science

International Journal of Advances in Soft Computing and its Applications Pub Date : 2017-05-30 DOI:10.5121/ijsc.2017.8201

Rajeev Kumar, H. Singh, Amit Sharma

引用次数: 0

Abstract

In wireless sensor network, routing data efficiently to the base station is a big issue and for this purpose, a number of routing algorithms are invented by researchers. Clustering plays a very important role in the design and as well as development of wireless sensor networks for well distribution of network and also to route data efficiently. In this paper, we had done the enhancement of divide and rule strategy that is basically route information protocol based upon static clustering and dynamic cluster head selection. Simulation results show that our technique outperforms DR, LEACH, and AODV on the basis of packet loss, delay, and throughput. INDEX TERMS Routing protocols, clustering, Coverage hole and energy hole.

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基于路由信息的wsn增强型分规则策略比较分析

在无线传感器网络中，有效地将数据路由到基站是一个大问题，为此，研究人员发明了许多路由算法。聚类在无线传感器网络的设计和开发中起着非常重要的作用，可以保证网络的良好分布和数据的高效路由。本文对基于静态聚类和动态簇头选择的路由信息协议的分而治之策略进行了改进。仿真结果表明，我们的技术在丢包、延迟和吞吐量方面都优于DR、LEACH和AODV。索引术语路由协议，聚类，覆盖洞和能量洞。

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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来源期刊

International Journal of Advances in Soft Computing and its Applications Computer Science-Computer Science Applications

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The aim of this journal is to provide a lively forum for the communication of original research papers and timely review articles on Advances in Soft Computing and Its Applications. IJASCA will publish only articles of the highest quality. Submissions will be evaluated on their originality and significance. IJASCA invites submissions in all areas of Soft Computing and Its Applications. The scope of the journal includes, but is not limited to: √ Soft Computing Fundamental and Optimization √ Soft Computing for Big Data Era √ GPU Computing for Machine Learning √ Soft Computing Modeling for Perception and Spiritual Intelligence √ Soft Computing and Agents Technology √ Soft Computing in Computer Graphics √ Soft Computing and Pattern Recognition √ Soft Computing in Biomimetic Pattern Recognition √ Data mining for Social Network Data √ Spatial Data Mining & Information Retrieval √ Intelligent Software Agent Systems and Architectures √ Advanced Soft Computing and Multi-Objective Evolutionary Computation √ Perception-Based Intelligent Decision Systems √ Spiritual-Based Intelligent Systems √ Soft Computing in Industry ApplicationsOther issues related to the Advances of Soft Computing in various applications.