Abstract
Dynamic Point coverage in wireless sensor networks is the problem of detecting some moving target points in the area of the network using as little sensor nodes as possible. This can be accomplished by designing a dynamic schedule for making nodes on and off in such a way that in each slice of time, only nodes which can sense the target points in that period are on. In this paper, we propose a novel method for this problem using learning automata. Each node is equipped with a learning automaton which will learn (schedule) the proper on and off times of that node based on the movement nature of a single moving target.
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.
