Cargando…
Memetic Algorithm-Based Multi-Objective Coverage Optimization for Wireless Sensor Networks
Maintaining effective coverage and extending the network lifetime as much as possible has become one of the most critical issues in the coverage of WSNs. In this paper, we propose a multi-objective coverage optimization algorithm for WSNs, namely MOCADMA, which models the coverage control of WSNs as...
Autores principales: | Chen, Zhi, Li, Shuai, Yue, Wenjing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279496/ https://www.ncbi.nlm.nih.gov/pubmed/25360579 http://dx.doi.org/10.3390/s141120500 |
Ejemplares similares
-
Multi-objective memetic algorithms
por: Goh, Chi-Keong, et al.
Publicado: (2009) -
CoCMA: Energy-Efficient Coverage Control in Cluster-Based Wireless Sensor Networks Using a Memetic Algorithm
por: Jiang, Joe-Air, et al.
Publicado: (2009) -
Multi-Objective Community Detection Based on Memetic Algorithm
por: Wu, Peng, et al.
Publicado: (2015) -
Memetic Chains for Improving the Local Wireless Sensor Networks Localization in Urban Scenarios †
por: Verde, Paula, et al.
Publicado: (2021) -
A memetic optimization algorithm for multi-constrained multicast routing in ad hoc networks
por: Ramadan, Rahab M., et al.
Publicado: (2018)