.png){kind=icon}
返回
Particle Swarm Optimization for Wireless Sensor Network Lifespan Maximization
.png){kind=icon}
OA
AI
DOI：10.48084/etasr.6752.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Despite the deployment of wireless sensor networks in diverse fields (health, environment, military applications, etc.) for tracking or monitoring, several challenges, such as extending the lifetime of the network under energy constraints, still need to be resolved. Lifetime is the operational time of the network during which it can perform dedicated tasks and satisfy the application requirements. The energy constraints dictate that the energy consumption of sensors should be minimized since in most cases the sensors are battery -powered. Various methods have been proposed to work around this problem using scheduling approaches. In this paper, particle swarm optimization -based scheduling was designed and implemented to maximize the lifetime of wireless sensor networks formulated as a Non -Disjoint Sets Cover (NDSC) problem. The experimental findings show that the proposed approach is extremely competitive to the state-of-the-art algorithms, as it is able to find the optimal and best-known solutions in the instances investigated.
Keyword:
scheduling
target coverage problem
non-disjoint set covers
wireless sensor networks
lifespan
particle swarm optimization
期刊
E
IF:
0
论文数:
11
被引数:
2.5K
机构
引用论文
Micromachining a Miniaturized Capillary Electrophoresis-Based Chemical Analysis System on a Chip.png)
Science
ScienceIF0
PREAI
分享收藏Spectroscopic Evidence for Backbone Desolvation of Helical Peptides by 2,2,2-Trifluoroethanol: An Isotope-Edited FTIR StudyBiochemistry
BiochemistryIF0
PREAI
分享收藏
查看更多内容