Learning, self-scheduling TDMA (LeSS-TDMA) for sensor networks

Victor Cionca, Thomas Newe, Vasile Dǎdârlat

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

Abstract

This paper proposes LeSS-TDMA, a novel approach for scheduling TDMA activity in a sensor network, where nodes create their own schedules by learning from previous activity. The protocol uses routing information to establish a schedule appropriate for periodical data gathering, which is the main traffic type in sensor networks. The schedule is determined by examining patterns that arise from data being sent in an incipient CSMA/CA, RTS/CTS phase. No extra control packets are needed, as is the case with existing TDMA solutions, so the power consumption is reduced. Tests show a high data throughput and fast schedule establishment, in tree-like topologies with relatively small neighborhoods.

Original languageEnglish
Title of host publication2008 IEEE Sensors, SENSORS 2008
Pages522-525
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 IEEE Sensors, SENSORS 2008 - Lecce, Italy
Duration: 26 Oct 200829 Oct 2009

Publication series

NameProceedings of IEEE Sensors

Conference

Conference2008 IEEE Sensors, SENSORS 2008
Country/TerritoryItaly
CityLecce
Period26/10/0829/10/09

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