Critical power for connectivity with cooperative transmission in wireless ad hoc sensor networks

Yao Win Hong, A. Scaglione

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

2 Scopus citations

Abstract

The opportunistic large array (OLA) system is a novel method used to perform cooperative transmission in large sensor networks. Cooperation is obtained by a simple transmission strategy based on the integrate-and-fire model in biological swarms. The method utilizes the accumulation of signals from simultaneously transmitting nodes, therefore, it is energy efficient compared to conventional point-to-point networks due to the power accumulation effect. In this paper, we study the gain in energy-savings that we can obtain by using OLA. We analyze particular network topologies to obtain the asymptotic behavior of the minimum energy solution and verify our analysis through numerical simulations. Our discussions show that with cooperative transmission, network flooding can be reliably obtained with low average power per node compared to standard multi-hop networks.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003
PublisherIEEE Computer Society
Pages13-16
Number of pages4
ISBN (Electronic)0780379977
DOIs
StatePublished - 2003
Externally publishedYes
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2003-January

Other

OtherIEEE Workshop on Statistical Signal Processing, SSP 2003
Country/TerritoryUnited States
CitySt. Louis
Period9/28/0310/1/03

Keywords

  • Biological system modeling
  • Biosensors
  • Energy efficiency
  • Network topology
  • Numerical simulation
  • Power system modeling
  • Sensor arrays
  • Sensor systems
  • Spread spectrum communication
  • Wireless sensor networks

ASJC Scopus subject areas

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

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