This study suggests an optimal coverage model aimed at the optimal deployment of Wireless sensor networks (WSN) based on improving the artificial bee colony (ABC) algorithm. The distance between the sensor nodes is regulated reasonably by implementing quasi-gravitation and quasi-coulomb power. Also, with a low regional repetition rate, the ABC algorithm can achieve fast optimization. Besides, to minimize node energy consumption, the sensing radius of WSN nodes is dynamically modified. | An Optimization Nodes Layout in Deployment WSN Based on Improved Artificial Bee Colony Trong-The Nguyen2 Thi-Kien Dao1 Thi-Thanh-Tan Nguyen3 Truong-Giang Ngo4 Duc-Tinh Pham5 1Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fujian Province 350118 China 2Haiphong University of Management and Technology Haiphong Vietnam 3Information Technology Faculty Electric Power University Hanoi Vietnam 4Faculty of Computer Science and Engineering Thuyloi University Hanoi Vietnam 5Center of Information Technology Hanoi University of Industry Hanoi Vietnam vnthe@ jvnkien@ giangnt@ tanntt@ tinhpd@ Abstract. This study suggests an optimal coverage model aimed at the optimal deployment of Wireless sensor networks WSN based on improving the artificial bee colony ABC algorithm. The distance between the sensor nodes is regulated reasonably by implementing quasi-gravitation and quasi-coulomb power. Also with a low regional repetition rate the ABC algorithm can achieve fast optimi- zation. Besides to minimize node energy consumption the sensing radius of WSN nodes is dynamically modified. The simulation results show that the pro- posed algorithm performs better than the conventional particle swarm PSO and quantum-behaved particle swarm optimization QPSO ACO schemes in terms of network coverage rate and convergence speed. Simultaneously the algorithm has a particular benefit in reducing the energy consumption of nodes in the WSN. Keywords Optimal deployment Artificial bee colony Quasi-physical strategy Wireless sensor network 1 Introduction Wireless Sensor Network WSN has become a new hot and front research area 1 . Its subject combines sensor technology embedded computing technology distributed in- formation processing technology communication technology etc. 2 . It has been a revolution of information sensing collecting and processing 3 . Micro-sensor technol- ogy supported by .
