Power-aware position vector routing for wireless sensor networks

Sangsoo Lee, Daeyoung Kim, Sungjin Ahn, Noseong Park

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

4 Citations (Scopus)

Abstract

We propose PPVR, a power-aware position vector routing protocol for wireless sensor networks. PPVR is an energy efficient geographical routing protocol that improves existing geographic routing protocols in two ways. First, in the forwarding phase, PPVR reduces the transmission energy by passing packets through a relay node called a power-aware node. Second, PPVR provides an efficient void node avoidance scheme that mitigates the cases forwarding packets to a wrong path so that higher route discovery success rate is achieved. The simulation results shows that the PPVR outperforms existing geographic routing protocols including GPSR and GEAR, in terms of the energy consumption and the successful delivery rate.

Original languageEnglish
Title of host publicationEmbedded and Ubiquitous Computing - EUC 2005 Workshops
Subtitle of host publicationUISW, NCUS, SecUbiq, USN, and TAUES, Proceedings
EditorsTomoya Enokido, Lu Yan, Bin Xiao, Daeyoung Kim, Yuanshun Dai, Laurence T. Yang
PublisherSpringer Verlag
Pages1148-1156
Number of pages9
ISBN (Print)3540308032, 9783540308034
DOIs
Publication statusPublished - 2005 Jan 1
EventEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES - Nagasaki, Japan
Duration: 2005 Dec 62005 Dec 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3823 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES
CountryJapan
CityNagasaki
Period05/12/605/12/9

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lee, S., Kim, D., Ahn, S., & Park, N. (2005). Power-aware position vector routing for wireless sensor networks. In T. Enokido, L. Yan, B. Xiao, D. Kim, Y. Dai, & L. T. Yang (Eds.), Embedded and Ubiquitous Computing - EUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES, Proceedings (pp. 1148-1156). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3823 LNCS). Springer Verlag. https://doi.org/10.1007/11596042_117