Authors : R. Bhaskaran and S. Saranraj
Abstract: In this study, we present a novel frame work for on-demand localization for autonomous deployment in UWSN to find the location and position of the sensor node with minimal error rate, based on the communication link types from the anchor nodes to sensor nodes underwater sensor networks contain anchor nodes and sensor nodes or initiator nodes which initiates the request in order to find its own position with the help of anchor nodes. These nodes listen to the broadcast message localize themselves without consuming additional resources. This proposed research classifies the links LOS (Line Of Sight), OLOS (Object based LOS) and SLOS (Sea based LOS) respectively, based on binary evaluation theorem using propagation delay, absorption loss and reflection loss as a key factor. Location estimation of sensor node can be computed whenever there is a change in network topology. Position accuracy can be achieved by classifying the links types and compute the values of selected links. This study focuses on the classification of the links and how it can be analyzed to produce location accuracy in UWSN.
R. Bhaskaran and S. Saranraj, 2016. LOS Based Link Classification for UWSN Using Binary Evalution Theorm. Asian Journal of Information Technology, 15: 3938-3942.