文章基本信息

标题：LEACH Robust Routing Approach Applying Machine Learning
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作者：Babar Ali ; Tariq Mahmood ; Muhammad Abbas 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2019
卷号：19
期号：6
页码：18-26
出版社：International Journal of Computer Science and Network Security
摘要：Wireless Sensors Network (WSNs) comprised of significant numbers of miniatures and reasonable sensor nodes which sense data from environment that require multi-hop and direct communication to send aggregated data towards the base station through cluster-head-node supported by appropriated routing scheme. The random choice of cluster-head-node (CHN) in WSNs is based on node residing energy. The node residing energy and network sustainability are the hot challenges in WSNs routing. There are many deficiencies in LEACH-RP (Routing Protocol) due to the rapid energy consumption of ordinary and cluster-head-nodes because of direct communication towards the base station. The quick draining of node energy creates large number of the black holes in the network core causing data redundancy, re-transmission of data packet, route update cost and E2E delay. The LEACH-RP faces the issues of data redundancy caused by a single sensor node in a short time and adjacent sensor nodes at the same time. In the proposed approach, the mean method and the minimum distance (MD) method based on LEACH-RP is implemented to solve the issues of data redundancy. A data fusion algorithm (DF) based on Cyclic Neural Networks(CNN) is implemented on LEACH RP. The simulation results indicate that the mean method & minimum distance method can effectively resolve the issues of data redundancy caused by a single sensor node in a short time and the data fusion algorithm of the CNN can effectively solve the problem of data redundancy generated by adjacent sensor nodes at the same time.
关键词：Multi-hop (MH); CHN; Wireless Sensing Networks (WSNs); Data Fusion Technology (DFT); LEACH RP; CNN