Self Organizing Target-Reporting Sensor Node Selection for Underwater Wireless Sensor Network
Under Water Sensor Networks UWSN are deployed to form distributed amorphous computing environments. While monitoring the ocean using UWSN, systematic approach has to be implemented in order to forward data to the surface sinks. Forwarding of such data from ocean bottom to the surface sink is among the major challenges faced by UWSN. In this paper the authors propose a novel Self Organizing Target-Reporting Sensor Node Selection Algorithm TRSNSA, which makes the network an intelligent sentinel for monitoring Under Water UW environments. Furthermore, the residual energy of sensor nodes is also taken into account in order to improve the network lifetime. Their proposed self organizing algorithm when incorporated while routing can reduce the energy consumption of the network drastically.