Energy and distance based data aggregation in underwater wireless acoustic sensor networks

Abstract

The process of data aggregation will ease the primary constraints of Underwater Wireless Acoustic Sensor Networks (UWASNs) such as limited bandwidth, node energy and latency. In this paper, we propose a scheme for data aggregation and routing using static and mobile agents based on multiple leaf structure. The main component of a leaf structure are midrib, veins and petiole (leaf stalk). The proposed scheme functions as follows. (1) Formation of multiple leaf structures and selecting the local and master center nodes on it by means of mobile agent based on the factors such as residual energy, Euclidean distance, vein angle, midrib angle and connectivity. (2) Identifying the local center nodes on either side of veins and connecting it to the master center node by means of mobile agent. (3) The aggregation processes at local centers by taking into account of nodes along the veins and carry it to the master center and deliver the aggregated data to the sink node through super master node by means of mobile agent. The proposed scheme is simulated in different UWASN scenarios. The parameters of performance analyzed are local and master center selection time, aggregation energy, energy consumption and lifespan of the network. We saw that our proposed scheme does better than the existing aggregation scheme.