Routing algorithms for delay-insensitive and delay-sensitive applications in underwater sensor networks

TLDR

Underwater sensor networks, comprising sensors and vehicles that collaborate to monitor regions, enable applications such as oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, assisted navigation, tactical surveillance, and mine reconnaissance through underwater acoustic networking. The study proposes a 3‑dimensional underwater sensor network architecture and a channel‑utilization model to analyze fundamental environmental characteristics and to examine data‑gathering strategies that account for cross‑layer routing and acoustic channel interactions. The authors develop a channel‑utilization model that determines optimal packet sizes based on monitored volume, node density, and application needs, and they present two distributed routing algorithms—one for delay‑insensitive and one for delay‑sensitive applications—that enable each node to choose a next hop to minimize energy consumption under varying acoustic channel conditions. Simulation results demonstrate that the proposed routing algorithms meet the performance targets.

Abstract

Underwater sensor networks consist of sensors and vehicles deployed to perform collaborative monitoring tasks over a given region. Underwater sensor networks will find applications in oceano-graphic data collection, pollution monitoring, offshore exploration, disaster prevention, assisted navigation, tactical surveillance, and mine reconnaissance. Underwater acoustic networking is the enabling technology for these applications. In this paper, an architecture for three-dimensional underwater sensor networks is considered, and a model characterizing the acoustic channel utilization efficiency is introduced, which allows investigating some fundamental characteristics of the underwater environment. In particular, the model allows setting the optimal packet size for underwater communications given monitored volume, density of the sensor network, and application requirements. Moreover, the problem of data gathering is investigated at the network layer by considering the cross-layer interactions between the routing functions and the characteristics of the underwater acoustic channel. Two distributed routing algorithms are introduced for delay-insensitive and delay-sensitive applications. The proposed solutions allow each node to select its next hop, with the objective of minimizing the energy consumption taking the varying condition of the underwater channel and the different application requirements into account. The proposed routing solutions are shown to achieve the performance targets by means of simulation.