Adaptive power controlled routing for underwater sensor networks

  • Manal Al-Bzoor*
  • , Yibo Zhu
  • , Jun Liu
  • , Ammar Reda
  • , Jun Hong Cui
  • , Sanguthevar Rajasekaran
  • *Corresponding author for this work

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

Abstract

Energy efficiency and mobility robustness are two of the main performance metrics to be addressed when designing any routing protocol for underwater sensor network (UWSN). Energy efficiency leads to a prolonged network life time, while mobility robustness ensures high and stable delivery ratio. Most of the routing strategies designed for UWSN require a full knowledge of the three dimensional location of nodes. In this paper, we introduce an energy efficient routing schema that does not require any location information, and achieves high packet delivery ratio for both static and mobile scenarios in sparse or dense networks. In our routing strategy, nodes assign themselves to concentric layers. A node to layer assignment is determined by signal power of a received interest packet broadcast by sink nodes. Routing paths are determined on the fly, and a forwarder is chosen based on its layer number and residual energy. Nodes are assumed to be able to adjust their transmission power to a finite set of values. Low power level is most likely selected by nodes when the network is dense, whereas a higher power level is selected when the network is sparse or when nodes at layers closer to the sink has more residual energy. Simulation results shows that our routing protocol achieves a high delivery ratio and a low energy consumption while reducing the delay when compared with other routing strategies for both sparse and dense networks.

Original languageEnglish
Title of host publicationWireless Algorithms, Systems, and Applications - 7th International Conference, WASA 2012, Proceedings
Pages549-560
Number of pages12
DOIs
StatePublished - 2012
Externally publishedYes
Event7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2012 - Yellow Mountains, China
Duration: 8 Aug 201210 Aug 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7405 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2012
Country/TerritoryChina
CityYellow Mountains
Period8/08/1210/08/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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