Energy map construction for wireless sensor network under a finite energy budget

Raquel A.F. Mini, Antonio A.F. Loureiro, Badri Nath

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

6 Scopus citations

Abstract

A fundamental issue in the design of a wireless sensor network is to devise mechanisms to make efficient use of its energy, and thus, extend its lifetime. Due to the importance of energy conservation, it is highly desirable to define the amount of energy each protocol can spend to perform its goal. Using this idea, we can associate a finite energy budget with each network activity, and ask this activity to achieve its best performance using only its budget. This should be considered a new paradigm to design algorithms for networks that are battery powered, specially for wireless sensor networks. In this paper, we present this new paradigm, and show how it can be used to construct the energy map of a wireless sensor network. Our goal is to construct the best energy map using only a defined amount of energy. Results show that we can approach these performance limits using the proposed finite energy budget model.

Original languageEnglish (US)
Title of host publicationACM MSWiM 2004 - Proceedings of the Seventh ACM Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems
PublisherAssociation for Computing Machinery (ACM)
Pages165-169
Number of pages5
ISBN (Print)1581139535, 9781581139532
DOIs
StatePublished - 2004
EventACM MSWiM 2004 - Proceedings of the Seventh ACM Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems - Venezia, Italy
Duration: Oct 4 2004Oct 6 2004

Publication series

NameACM MSWiM 2004 - Proceedings of the Seventh ACM Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems

Other

OtherACM MSWiM 2004 - Proceedings of the Seventh ACM Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems
Country/TerritoryItaly
CityVenezia
Period10/4/0410/6/04

ASJC Scopus subject areas

  • Engineering(all)

Keywords

  • Budget
  • Energy Map
  • Wireless Sensor Networks

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