Coverage Optimization Mechanism Based on Weighted Genetic Algorithm and Constrained Genetic Algorithm

Chang Wei Ma

doi:10.4028/www.scientific.net/AMM.416-417.1574

Paper Titles

Hybrid Combination of Machine Translation with Part-of-Speech Analysis
p.1552

Research on Wireless Communication Technology Based on Cooperative Diversity
p.1561

Analysis of the Application of Soft-Switch Technology in Mobile Communications
p.1565

A Wireless Mesh Network Node Query Method Research
p.1570

Coverage Optimization Mechanism Based on Weighted Genetic Algorithm and Constrained Genetic Algorithm
p.1574

Research of GMR-1 in GEO Satellite Mobile Communications
p.1580

Study of Combined Function of Computer Network and Communication Technology
p.1586

Discussion on the Digitalized Transformation Trend of Computer Network Communication System
p.1590

Discussion on the Measures for Enhancing the Signals of Wireless Communication Network Sites
p.1595

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 416-417Coverage Optimization Mechanism Based on Weighted...

Coverage Optimization Mechanism Based on Weighted Genetic Algorithm and Constrained Genetic Algorithm

Abstract:

As a basic problem of wireless sensor in network applications, coverage reflects the quality effect of monitoring and tracking of the network. In view of the high density of sensor nodes deployment, this article works on the node set selection problem, puts forward two kinds of coverage optimization mechanisms based on weighted genetic algorithm and constrained genetic algorithm according to the genetic algorithm operation of the fitness function generation, and calculates approximately optimal working nodes required in the sensor network fully covering area. The simulation results show that the algorithm can quickly converge to the optimal solution and complete the optimization of node set selection, thereby reducing network redundancy and prolonging the survival time of the network.