Adaptive Energy Efficient Routing Protocol with Extended Lifetime in Underwater Sensor Networks

Underwater sensor networks are used to detect the objects and the environmental pattern under the sea water. Some of its limiting features are high latency, low bandwidth, and high energy consumption. Some of the applications of under sensor networks are oceanographic data collection, pollution monitoring and disaster prevention. The issues which have to be resolved in the underwater sensor networks are high energy consumption and low delivery rate. Since the sensor devices are placed under the sea water it is difficult to change the batteries frequently. So maintaining the life time of the sensor nodes is the biggest challenge. There are several methods available to overcome the issue namely VBR, Depth Based Forwarding and Focus Beam Routing protocol. In the existing system, Q-Learning based tracking technique is used to find the next forwarding node based on the residual energy of the individual node. So that number of forwarding will be reduced and energy consumption of the sensor nodes will be reduced. In my proposed work the buffer size is also considered for finding the next forwarder, so that the dropping on the packets will be reduced.