Particle Swarm Optimization Compared to Ant Colony Optimization for Routing in Wireless Sensor Networks

被引：5
|
作者：
EL Ghazi, Asmae [1 ]
Ahiod, Belaid [1 ]
机构：
[1] Mohammed V Univ, Fac Sci, Dept Phys LRIT Associated Unit CNRST URAC 29, Rabat, Morocco
来源：
PROCEEDINGS OF THE MEDITERRANEAN CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGIES 2015 (MEDCT 2015), VOL 2 | 2016年 / 381卷
关键词：
Wireless sensor network; Metaheuristic; Routing; Ant colony optimization; Particle swarm optimization;
D O I：
10.1007/978-3-319-30298-0_23
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Wireless Sensor Networks (WSNs) are an emerging technology that used to monitor various environments. Despite of WSN advantages, it suffers from intrinsic limitations related to communication failures, computational weaknesses and limited energy. Hence, many challenges are considered as NP-hard optimization problems, and resolved by metaheuristics. This paper, proposes a routing approach based on Particle Swarm Optimization (PSO). Compared to the ACO approach, PSO reduces the energy consumption and extends the life of WSN. Through performing many experimentations the PSO efficiency is validated.
引用
收藏
页码：221 / 227
页数：7
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