Adaptive Power Control and Fuzzy Based Duty Cycle Scheduling in Under Water Sensor Network (UWSN)

Abstract

In Under Water Sensor Network (UWSN), power control algorithm should consider channel condition and frame loss probability. Also the queue length variations or traffic load should be considered for fixing the sleep duty cycle. In this paper, we propose to design an Adaptive Power Control and Fuzzy based Duty Cycle Scheduling (APC-FDS) algorithm for clustered UWSN. In the adaptive power control algorithm, the sender node will fix the minimum transmit power such that the energy consumption and frame loss probability are minimized. In adaptive duty cycle scheduling, the duty cycle is adaptively adjusted by considering the connection value and traffic load using fuzzy logic technique. The connectivity between a cluster and its neighboring cluster is estimated using the connection value. The cluster head collects the traffic information from its members. Experimental results show that the APS-FDS algorithm reduces the average energy consumption and frame loss probability.