Parallel Firefly Algorithm for Localization Algorithm in Wireless Sensor Network

被引：15

作者：

Van-Oanh Sai ^{[1
]}

Shieh, Chin-Shiuh ^{[1
]}

Trong-The Nguyen ^{[1
]}

Lin, Yuh-Chung ^{[2
]}

Horng, Mong-Fong ^{[1
]}

Le, Quang-Duy ^{[1
]}

机构：

[1] Natl Kaohsiung Univ Appl Sci, Dept Elect Engn, Kaohsiung 80778, Taiwan

[2] Tajen Univ, Dept Informat Applicat & Management, Pingtung, Taiwan

来源：

2015 THIRD INTERNATIONAL CONFERENCE ON ROBOT, VISION AND SIGNAL PROCESSING (RVSP) | 2015年

关键词：

Parallel firefly algorithm; Swarm intelligent; Node localization; Wireless sensor networks;

D O I：

10.1109/RVSP.2015.78

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Node localization has been a very active research topic in recent years. Accurate self-localization capability is highly desirable in wireless sensor network (WSN). In this paper, a node localization algorithm based on the received signal strength (RSS) measurements and Parallel Firefly Algorithm (PFA) in Wireless Sensor Networks (WSN) is proposed. By fully considering the distance factor, an improved objective function is defined, so the node localization problem in WSN could be transformed into a nonlinear unconstrained optimization problem. Giving the distances between a sensor and a few of its 1-hop neighbors, the proposed algorithm can estimate the sensor positions using Parallel Firefly Algorithm. Simulation results show that the proposed method can achieve better results than those obtained from the Particle Swarm Optimization (PSO), the Genetic Algorithm (GA) and the original methods in accuracy.

引用

页码：300 / 305

页数：6

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