Compression-based Block Truncation Coding technique to Enhance the Lifetime of the Underwater Wireless Sensor Networks

Minimizing the number of transmitted/received data represents a big challenge in Underwater Wireless Sensor Networks (UWSNs). Since the data sending/receiving represents the most energy consumer in the Underwater Wireless Sensor. Therefore, it is important to decrease it to save energy and improve the UWSN lifetime. This paper proposes a Compression based Block Truncation Coding (CBBTC) technique to minimize the volume of the transmitted measurements, save energy, thus improve UWSN's lifetime while maintaining the accuracy of the measurements received at the base station. The proposed approach operates inside the sensor nodes and designed to reduce data within each sensor node by compressing it, rather than transmitting the data raw to the cluster head (CH) to conserve the sensor energy. Our suggested technique is verified through experiments on actual data of UWSN and our proposed method is compared with other current approaches to show the superiority in terms of energy- saving, increasing UWSN's lifespan while the fidelity of data is kept.