A Survey of Localization in Wireless Sensor Network Using Optimization Techniques

The objective of this paper is to review the different existing optimization techniques that are used to overcome the localization issue in the wireless sensor network. Wireless sensor networks made up of devices that are placed in huge quantity over a large geographical region to perform several tasks like sensing the data and communicate with other devices. Most of the applications of wireless sensor networks like forest fire detection required the exact position of the sensing element. The aim of the localization process is to allocate the coordinates to the every node with unidentified location in the sensing area. In this paper various optimization techniques for localizing the nodes like particle swarm optimization, bees optimization algorithm, bat algorithm, cuckoo optimization and butterfly optimization algorithm etc. are reviewed. The detail comparison of these techniques in terms of localization error, computation time and amount of localized nodes is also presented in this paper.