A novel cross-layer mobile data-gathering protocol for underwater sensor networks

Faisal Abdulaziz Alfouzan, Seyed Mohammad Ghoreyshi, Alireza Shahrabi, Mahsa Sadeghi Ghahroudi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, a novel Cross-Layer Mobile Data gathering (CLMD) scheme for Underwater Sensor Networks (UWSNs) is presented to improve the performance with a cross-layer design in the MAC and routing layer. CLMD develops a distributed cross-layer mobile data gathering solution that allows multiple sensors to efficiently and fairly share the bandwidth-limited high-delay underwater acoustic medium and aggregate data packets in a group of cluster heads which are visited by Autonomous Underwater Vehicle (AUV) in the periodic tours. The network lifetime is prolonged by reselecting the cluster heads in the different operational phases while the tour length is kept short to reduce the latency. The effectiveness of CLMD is validated through an extensive simulation study which reveals the performance improvement in the energy-saving, network lifetime, and packet delivery ratio.

Original languageEnglish
Title of host publication2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728152073
ISBN (Print)9781728140537
DOIs
Publication statusPublished - 30 Jun 2020
Event2020 IEEE 91st Vehicular Technology Conference - Online
Duration: 25 May 202031 Jul 2020
https://events.vtsociety.org/vtc2020-spring/ (Link to conference website)

Publication series

Name
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465

Conference

Conference2020 IEEE 91st Vehicular Technology Conference
Abbreviated titleVTC Spring 2020
Period25/05/2031/07/20
Internet address

Keywords

  • Underwater sensor networks (UWSNs)
  • Cross-layer Design
  • Mobile Data-gathering Protocol

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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