Title: Mobile UW-ASN framework with RSSI-based protocol for shallow river monitoring

Authors: Seung-Hyun Oh; Stanislav Tyan

Addresses: Department of Computer Engineering, Dongguk University, Dongdaero 123, Gyeongju 780-714, Korea ' Department of Computer Engineering, Dongguk University, Dongdaero 123, Gyeongju 780-714, Korea

Abstract: Approximately three-fourths of our planet's surface is covered by ocean and seas, a continuous body of water that is divided into several oceans and smaller seas. Water conditions determine climate that affects life on Earth. Whereas fresh water in lakes and rivers covers less 1%, its contamination significantly damages ecosystems. Within this research this paper proposes a framework with a custom protocol stack for river monitoring with hybrid network topology. The main goal is to design and implement a framework of distributed network of navigating autonomous underwater vehicles (AUV) and fixed sensors for rivers that will collect monitoring information and transmit data to the central base station. Proposed framework perfectly fits into the latest notion of internet of underwater things architecture and in future it can be utilised not only for shallow river monitoring but also in such extended applications as pipeline surveillance, harbour security and fish farms monitoring.

Keywords: MAC protocol; medium access control; underwater sensor networks; AUVs; autonomous underwater vehicles; mobile nodes; river monitoring; RSSI; shallow rivers.

DOI: 10.1504/IJRAM.2014.062794

International Journal of Risk Assessment and Management, 2014 Vol.17 No.4, pp.361 - 373

Received: 10 Jun 2013
Accepted: 05 Mar 2014
Published online: 24 Oct 2014 *

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