Energy Efficient Routing Algorithm for Void Avoidance in UWSN Using Residual Energy and Depth Variance

Abstract

Underwater Wireless Sensor Networks (UWSN) is attracting the interest of most of the researcher because of the good opportunity to discover and catch the oceanic activities. As we know radio waves could not work efficiently in Underwater so Underwater Acoustic Sensor Networks (UASN) emerged as a most prevalent network to an outstanding range. UASN have some constraints in its deployment as well as acoustic wave communication. This limitation involves large propagation delay, transmission cost, very less bandwidth, high signal attenuation, and restricted accessibility of the nodes and non-availability of the recharging of nodes leads to the development of some energy saving algorithms to prolong the lifetime of the nodes. Routing technique must be rich enough to overcome all these constraints and give an energy efficient path by avoiding void regions and increase the network lifetime. Depth based algorithms proposed in the last decades use depth factor to estimate the path from sender to the sink. By having the holding time calculation they minimize the replication of information. Here, this paper have proposed Energy Efficient Void Avoidance Routing Scheme for UWSN (E2RV) using Residual Energy and Depth Variance it used two hop node information to escape the void shacks in the network area along with this it is using regularized remaining energy and normalized depth of the nodes to estimate the path from data generating node to sink node. In this way E2RV not only removing the void holes but also maintains the energy depletion of the network nodes and upsurge the network lifetime. Simulation results show the improvement of E2RV over previously defined algorithms in terms of packet delivery ratio, duplications, less energy depletion and increased lifetime.