Localization of Nodes in Underwater Wireless Sensor Networks

Abstract

Localization refers to the estimated position of each sensor node within a network. It's necessary since underwater sensor nodes depend on this information for reliable communication. The main challenge over here would be that the environment underwater is naturally quite different from land, posing uncertainty in sound speed variations and hence more noise in the channel. Here, the Kalman filter and extended Kalman filtering methods are explored to minimize the localization errors. This is validated by simulating the shallow water experiment and further the localization results are compared.