Bacterial Foraging Optimization Algorithm for CH selection and Routing in Wireless Sensor Networks

被引:0
|
作者
Lalwani, Praveen [1 ]
Das, Sagnik [1 ]
机构
[1] Indian Sch Mines, Comp Sc & Engg, Dhanbad, Bihar, India
关键词
Bacterial Foraging Optimization Algorithm; WSN; Cluster Head selection; Routing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Bacterial Foraging Optimization Algorithm (BFOA) is a widely accepted nature inspired global optimization algorithm. CH selection and Routing are well known techniques for enhancing the life of the wireless sensor networks (WSN). In two tired routing architecture, CH demises earlier due to its extra function. Therefore, proper care taken while selection of CH's. The current study focuses on solving both of the above mentioned problems using bacteria foraging algorithm. The CH selection algorithm is devised with new fitness function based on residual energy and distance. And the routing also proposed with novel fitness which considers energy and distance. The proposed algorithms are rigorously tested on different scenarios to show its performance and compared with conventional methods such as, EADC, DHCR and Hybrid Routing. Experimental results depicts that proposed algorithms performs better than existing ones.
引用
收藏
页码:95 / 100
页数:6
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