文章基本信息

标题：An Improved PEGASIS Routing Protocol Based on Neural Network and Ant Colony Algorithm
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作者：Tao Li ; Feng Ruan ; Zhiyong Fan 等
期刊名称：International Journal of Future Generation Communication and Networking
印刷版ISSN：2233-7857
出版年度：2015
卷号：8
期号：6
页码：149-160
DOI：10.14257/ijfgcn.2015.8.6.15
出版社：SERSC
摘要：This paper proposes a routing protocol for the Wireless Sensor Network (WSN). It is a protocol based on the PEGASIS protocol but using an improved ant colony algorithm and neural network rather than the greedy algorithm to build the chain. Compared with the original PEGASIS, the ACON-PEG can achieve a global optimization. It forms a chain that makes the path more even-distributed and the total square of transmission distance much less. The protocol uses the thought of neural network algorithm to select the chain head, it utilizes ant colony algorithm to find the best path to send data to the BS and the whole area divided into multiple equal parts. It brings about a balance of energy consumption between nodes. Simulation results have shown that the proposed protocol significantly prolongs the network lifetime.
关键词：block matching; spatial similarity; variance; structure-adaptive