A dynamic TDMA-based sleep scheduling to minimize WSN energy consumption

Adelcio Biazi, Cesar Marcon, Fauzi Shubeita, Leticia Poehls, Thais Webber, Fabian Vargas

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

7 Citations (Scopus)

Abstract

Wireless Sensor Network (WSN) is a communication's architecture composed of several nodes with small power supply, which may be used to monitor hazardous events in inaccessible areas. Thus, on one hand, it is preferable to assure the adoption of the minimum transmission power in order to extend the WSN lifetime, as far as possible. On the other hand, it is crucial to guarantee that the nodes receive the transmitted data correctly. Therefore, trading off power optimization and quality of service has become one the most important concerns when dealing with modern systems based on WSNs. This paper proposes a new technique based on Time Division Multiple Access (TDMA) focusing on the minimization of energy consumption. The proposed technique adjusts the monitoring timeslot of the sensors according to the environmental changes. The results obtained throughout a WSN simulator show that the implemented technique provides satisfactory results, when compared with classic TDMA techniques. The analyzed scenarios demonstrated improvements regarding the WSN's energy consumption of 17%, in the worst case, and up to 52%, in the most favorable case. The proposed technique reduces the energy consumption of the network and consequently, increases its lifetime.

Original languageEnglish
Title of host publication2016 13th IEEE International Conference on Networking, Sensing and Control (ICNSC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781467399753
DOIs
Publication statusPublished - 25 May 2016
Event13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016 - Mexico City, Mexico
Duration: 28 Apr 201630 Apr 2016

Publication series

NameIEEE International Conference on Networking, Sensing and Control
ISSN (Print)1810-7869
ISSN (Electronic)2766-8665

Conference

Conference13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016
Country/TerritoryMexico
CityMexico City
Period28/04/1630/04/16

Keywords

  • Energy consumption
  • TDMA
  • WSN

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