Meta-heuristic based optimization of WSNs Localisation Problem- a Survey
Neha Sharma, Vishal Gupta
Abstract
Due to underlying applications, wireless sensor network is in demand these days. The nodes are positioned randomly in the space and finding out the exact location of the nodes is essential. Limited cost and energy are the major problems with the sensor because of which location of all the sensor nodes are not stored. There is number of applications, where location of all the nodes is required. So, finding out the location of the nodes is one of major issues for research. This paper discusses how localization issues in sensor networks can be resolved using different metaheuristic algorithms. Metaheuristic algorithms like firework algorithm, cuckoo search, bat algorithm, genetic algorithm are few of the algorithms that are used as the solution of localisation problem. The paper presents a survey on the localisation problem of wireless sensor networks, application of localisation and solution of it using metaheuristic algorithms. The paper also discusses the parameters to evaluate for localisation. The studies show that the use of metaheuristic on localisation issue of wireless sensor network optimizes the results.