relation: https://khub.utp.edu.my/scholars/1080/
title: An efficient energy two mode error correction technique in underwater wireless sensor networks
creator: Babiker, A.E.
creator: Zakaria, M.N.B.
description: Research in underwater acoustic networks has developed quickly to support large variety of applications such as mining equipment and environmental monitoring. As in terrestrial sensor networks; reliable data transport is demanded in underwater sensor networks. The energy efficiency of error correction techniques should be considered because of the severe energy constraints of underwater wireless sensor networks. FEC and ARQ are the two main error correction techniques in underwater networks. In this paper, a mathematical energy efficiency analysis for FEC and ARQ techniques in underwater environment is done based on communication distance, packet size and wind speed. And a comparison between FEC and ARQ in terms of energy efficiency is done, it was found that energy efficiency of both techniques increases with increasing packet size in short distances, but decreases in longer distances. There is also a cutoff distance below which ARQ is more energy efficient than FEe, and after which FEe is more energy efficient than ARQ. Wind speed has great effect on energy efficiency and on cutoff distance for both techniques. Based on this analysis an efficient energy two mode error correction technique is proposed, this technique depends on RTT, distance, packet size, and the energy level in the nodes to determine where and how error can be corrected. © 2010 IEEE.
date: 2010
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Babiker, A.E. and Zakaria, M.N.B.  (2010) An efficient energy two mode error correction technique in underwater wireless sensor networks.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049387817&doi=10.1109%2fITSIM.2010.5561524&partnerID=40&md5=9c5e29cebbcde5939d2e19cde74bdec3
relation: 10.1109/ITSIM.2010.5561524
identifier: 10.1109/ITSIM.2010.5561524