Abstract
Wireless sensor network coverage to a large extent depends on the deployment of wireless sensor networks. We propose in this work an approach based on an optimized artificial fish-swarm algorithm for wireless sensor networks deployment optimization scheme in a wireless sensor network which is composed of fixed sensor nodes and some mobile sensor nodes. The OAFSA (Optimized Artificial Fish Swarm Algorithm) inherits the foraging and rear behavior of artificial fish in AFSA (Artificial Fish Swarm Algorithm), and optimizes the capacity of finding maximal objective function value. The simulation results show that our approach works better than the AFSA does in wireless sensor network coverage, which improves the network performance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
