Reliability in IoUT enabled underwater sensor networks using dynamic adaptive routing protocol

Abstract

Network lifetime is identified as the most crucial parameters in under water wireless sensor networks (UWSN) in Internet of underwater things (IoUT) applications. Other challenges include: limited bandwidth, high attenuation, high path loss, limited battery life etc. The main focus of this paper is to consider a trade-off between the energy consumption and network lifetime. This paper proposes an optimal routing protocol called the energy dynamic adaptive routing (DAR) protocol. The DAR protocol maintains a trade-off between the reliability or packet delivery ratio (PDR) of sensor nodes and bit error ratio (BER) using an optimal dynamic adaptive routing approach. An optimal directed acyclic graph (DAG)-based route selection is exploited to select the neighbour and successor nodes. The cost function with a directed acyclic graph is utilised for better transmission of packets. The experimental results with BEAR show that the proposed method deals with the issues raised in the conventional protocol and improve the reliability of packets with higher BER.