An Exposition of Wireless Sensor Network Area Coverage and Lifetime Based on Meta Heuristic and Particle Swarm Optimization Algorithms
DOI:
https://doi.org/10.21015/vtcs.v15i2.519Abstract
An important issue among the most vital and essential issues in Wireless Sensor Networks (WSNs) is the area coverage problem. This issue in WSNs causes the security situations directed by the current sensors in the systems suitably. The significance of scope in WSNs is important to the point that is one of the natures of administration parameters. In the event that the sensors don't suitably cover the physical situations they won't be sufficient proficient in supervision and controlling. The scope in WSNs must be in a manner that the vitality of the sensors would be the slightest to build the lifetime of the system. Alternate reasons which had expanded the significance of the issue are the topological changes of the system finished by the harm or cancellation of a percentage of the sensors and now and again the system should not lose its scope. Along these lines, in this paper we have half and half algorithm, the Meta-Heuristic calculations like Differential Evolution and Particle Swarm Optimization algorithms and have broken down the range scope issue in WSNs. Additionally PSO algorithm is executed to look at the productivity of the half and half model in the same circumstances. The consequences of the trials demonstrate that the half and half algorithm has made more increment in the lifetime of the system and more upgraded utilization of the vitality of sensors by improving the scope of the sensors in comparison to PSO.References
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