Self-Organizing and Scalable Routing Protocol (SOSRP) for Underwater Acoustic Sensor Networks

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 14; p. 3130
• Main Authors: Hindu, Sateesh Kumar, Hyder, Waheeduddin, Luque-Nieto, Miguel-Angel, Poncela, Javier, Otero, Pablo
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 16-07-2019; MDPI
• Subjects: Access control; Acoustics; Algorithms; Autonomous underwater vehicles; Clustering; Communication; Data collection; distance; end-to-end delay; Energy consumption; Energy efficiency; fault tolerance; isolation recognition; Marine environment; multi-hop routing; Nodes; Propagation; Protocol; Remote sensors; self-organization; Sensors; Statelessness; transmission range; Underwater acoustics; Wireless networks; Wireless sensor networks; end-to-end delay; fault tolerance; self-organization; distance; energy consumption; isolation recognition; transmission range; multi-hop routing
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s19143130

Underwater Acoustic Sensor Networks (UASN) have two important limitations: a very aggressive (marine) environment, and the use of acoustic signals. This means that the techniques for terrestrial wireless sensor networks (WSN) are not applicable. This paper proposes a routing protocol called "Self-Organizing and Scalable Routing Protocol" (SOSRP) which is decentralized and based on tables residing in each node. A combination of the hop value to the collector node and the distance is used as a criterion to create routes leading to the sink node. The expected functions of the protocol include self-organization of the routes, tolerance to failures and detection of isolated nodes. Through the implementation of SOSRP in Matlab and a model of propagation and energy being appropriate for marine environment, performance results are obtained in different scenarios (varying both nodes and transmission range) that include parameters such as end-to-end packet delay, consumption of energy or length of the created routes (with and without failure). The results obtained show a stable, reliable and suitable operation for the deployment and operation of nodes in UASN networks.