Improved Data Aggregation for Cluster Based Underwater Wireless Sensor Networks

While performing underwater monitoring tasks, energy of the sensor nodes in Underwater Wireless Sensor Networks (UWSNs) vanishes continuously all over the network. The performance of Under Water (UW) sensor nodes mainly depends on their battery which is difficult to replace and therefore, energy saving becomes the main objective for increasing the lifespan of such network. The combination of clustering and data aggregation may be used to save energy. To further reduce power consumption during data aggregation at the Cluster Head, efficient scheduling techniques for data transmission are required by the cluster members. In this paper, an Improved Data Aggregation technique for Cluster Based UWSN is proposed where an efficient sleep-wake up algorithm is used for aggregating the sensed data and TDMA based transmission schedule is used to avoid intra and inter cluster collisions. Improvement in well-known existing protocols is achieved by the combination of data aggregation and data scheduling along with data fusion to minimize the energy consumption. The performance of the proposed scheme is evaluated by comparing with existing protocols and results have shown better performance of the proposed scheme than the existing approaches in terms of packet drop, end-to-end delay, and energy consumption. The proposed technique also reduces the number of transmissions and efficiently utilizes the UW sensor nodes.