Fuzzy based clustering and aggregation technique for Under Water Wireless Sensor Networks

The Under Water Sensor Network (UWSN) contains a set of underwater local area networks (UW-LAN) which is also called as clusters or cells. Inside the cluster, each sensor node can be linked with the sink via direct paths at multiple hops. Data gathering in UWSN is really a challenging task since energy is constrained and usually batteries cannot be recharged as solar energy cannot be exploited. Moreover, sensors are more vulnerable for failures due to pollution and corrosion. Retrieving information using the sensors manually is subject to very long delays. In this paper, we propose to design a fuzzy based clustering and aggregation technique for UWSN. In this technique the parameters residual energy, distance to sink, node density, load and link quality are considered as input to the fuzzy logic and based on the output of fuzzy logic module, appropriate cluster heads will be elected and will act as aggregator nodes. Simulation results show that the proposed technique reduces the average energy consumption and delay thereby improving the packet delivery ratio.