Title: An adaptive power controlled routing protocol for underwater sensor network

Authors: Manal Al-Bzoor; Yibo Zhu; Jun Liu; Reda Ammar; Jun-Hong Cui; Sanguthevar Rajasekaran

Addresses: Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269-2155, USA ' Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269-2155, USA ' Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269-2155, USA ' Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269-2155, USA ' Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269-2155, USA ' Department of Computer Science and Engineering, University of Connecticut, Storrs, CT 06269-2155, USA

Abstract: Geo-routing protocols can provide the scalability, robustness, lower overhead and energy efficiency requirements for underwater sensor networks (UWSNs). However, these protocols require localisation service, which is another challenging problem. In this paper, we introduce a novel energy efficient schema that does not need location information. In this schema, nodes assign themselves to concentric layers around sink nodes and routing paths are determined on the fly based on nodes' layers and residual energy information. Nodes can adaptively adjust their transmission power level to cater for network mobility and residual energy constraints. Extensive simulation results show that our routing protocol achieves high delivery ratio and low energy consumption while reducing end to end delay when compared with other routing strategies. In particular, our schema can guarantee a relatively higher delivery ratio in presence of mobility.

Keywords: UWSN routing; adaptive routing; mobile UWSNs; power control; routing protocols; underwater sensor networks; energy efficiency; network mobility; residual energy; simulation; delivery ratio; energy consumption; end to end delay.

DOI: 10.1504/IJSNET.2015.070397

International Journal of Sensor Networks, 2015 Vol.18 No.3/4, pp.238 - 249

Received: 01 Dec 2012
Accepted: 18 Sep 2013

Published online: 05 Jul 2015 *

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