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

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 "Se...

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Bibliographic Details
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
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Summary:	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.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1424-8220 1424-8220
DOI:	10.3390/s19143130