A hybrid Algorithm for Deployment of Sensors with Coverage and Connectivity Constraints
Journal: International Journal of Advanced Engineering Research and Science (Vol.6, No. 3)Publication Date: 2019-03-10
Authors : Timóteo Holanda Tiago Almeida Paulo Cleber M. Teixeira Anna Paula de S. P. Rodrigues Rafael Lima;
Page : 13-19
Keywords : Genetic Algorithms; Particle Swarm Optimization; Wireless sensor networks.;
Abstract
Finding optimal node deployment for a Wireless Sensor Network (WSN), while maximizing both coverage and connectivity as well as minimizing costs is a challenging task. In the considered scenario, coverage and connectivity are used as QoS (Quality of Service) measures for the desired wireless sensor network. In this case, the problem was handled as a multi-objective optimization problem. In this paper, we propose a hybrid optimization algorithm (GA-BPSO) based on Genetic Algorithm (GA) and Binary Particle Swarm Optimization (BPSO). In order to show the effectiveness of the proposed algorithm, we present some simulations and comparisons with existing methods in the literature.
Other Latest Articles
- YÜKSEKÖĞRETİMDE SANAT EĞİTİMCİSİNİN ANLAMI
- SARIKEÇİLİ YÖRÜKLERİNDEN ÜMMÜ ÇELİK VE KATİBİ KOLAN DOKUMASININ TEKNİK ANALİZİ
- YOKSUL SANAT VE ANLATISI
- MANTIKU’T-TAYR NÜSHASI MİNYATÜRÜNÜN TEKNİK ÇÖZÜMLEMESİ
- Monte Carlo Simulation for Data Volatility Analysis of Stock Prices in Islamic Finance for Malaysia Composite Index
Last modified: 2019-03-12 19:08:35