UWIA-AODV: Improved Ad-Hoc On-Demand Distance Vector Routing Protocol for Underwater Acoustic Sensor Networks

  • Xueyi Wang
  • , Meiqin Liu
  • , Senlin Zhang
  • , Shanling Dong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In the past a few years, underwater acoustic networks have developed as a powerful technique used for variety of applications. Ad-Hoc On-Demand Distance Vector (AODV) is a popular and effective routing protocol, while it is not suitable for underwater usage due to the features of underwater acoustic channel such as low data rate, long delay, limited bandwidth and energy. In this paper, we propose an improved AODV based on implicit acknowledgement which employs broadcast features of nodes to overhear packets and retransmit those that fail to be transmitted. In addition, residual energy is considerded for energy balancing. Finally, the in-field experiment results shows that our proposed protocol can select the route with more residual energy for energy balancing. And our proposed protocol also outperforms AODV in terms of throughput and packet discovery ratio. So it is more suitable for underwater scenarios that require high transmission reliability.

Original languageEnglish
Title of host publication2023 42nd Chinese Control Conference, CCC 2023
PublisherIEEE Computer Society
Pages6176-6181
Number of pages6
ISBN (Electronic)9789887581543
DOIs
StatePublished - 2023
Event42nd Chinese Control Conference, CCC 2023 - Tianjin, China
Duration: 24 Jul 202326 Jul 2023

Publication series

NameChinese Control Conference, CCC
Volume2023-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference42nd Chinese Control Conference, CCC 2023
Country/TerritoryChina
CityTianjin
Period24/07/2326/07/23

Keywords

  • Ad-Hoc On-Demand Distance Vector
  • Routing Protocol
  • Underwater Acoustic Networks

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