Skip to main navigation Skip to search Skip to main content

Experimental validation of an energy efficient MAC protocol for wireless sensor network

  • University of Greenwich

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

Abstract

Energy-efficiency is generally regarded as one of the fundamental challenges for wireless sensor networks and the radio part is a major contributor to overall energy consumption of a sensor node. A Radio Triggered Sensor MAC (RTM) protocol was introduced in the literature, which could harvest the overall energy consumption in WSNs. In this paper, we propose, design and develop hardware which we refer as Passive Radio Sensor (PRS) and use is to study the RTM protocol in WSNs. A general radio transceiver, typically used in WSN, consumes a significant amount of energy when periodically listening to data messages. Our proposed transceiver hardware, PRS, powered by the incoming radio signals themselves and hence significantly reduces node energy consumption that is wasted in radio communications. The PRS circuit is independent of any other components on the node1.

Original languageEnglish
Title of host publication2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013 - Sharjah, United Arab Emirates
Duration: 12 Feb 201314 Feb 2013

Publication series

Name2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013

Conference

Conference2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013
Country/TerritoryUnited Arab Emirates
CitySharjah
Period12/02/1314/02/13

Keywords

  • Radio-Triggering
  • ZigBee

Fingerprint

Dive into the research topics of 'Experimental validation of an energy efficient MAC protocol for wireless sensor network'. Together they form a unique fingerprint.

Cite this