Survey of Localizations Algorithms in Underwater Wireless Sensor Network

Abstract

The main objective of this research paper is to review and analyze the different existing localization algorithms techniques that are used to overcome the localization issue in the wireless sensor network. Underwater Wireless sensor networks consists up of small sensor nodes that are placed in huge quantity over a large water surface region to perform several tasks like sensing the data and communicate with other devices. Most of the applications of underwater wireless sensor networks like forest fire detection required the exact position of the sensing element. The main motive of the localization process is to localize the coordinates to the every node with unidentified location in the sensing area of underwater. In this paper, we have discussed various localization algorithms for localizing the sensor nodes like particle swarm optimization; bees optimization algorithm, bat algorithm, cuckoo optimization and butterfly optimization algorithm etc. are reviewed. The detail analysis of these techniques in terms of localization error, computation time and amount of localized nodes has been discussed in this paper.