Adaptive Data Update Management in Sensor Networks

C. M. Krishna

Abstract

Transmitting messages is by far the most energy-intensive thing that most sensors do. We consider the problem of a sensor which regularly senses some parameter in its operating environment. Based on the value it knows to have been estimated at the base station (or other central information collation station) for that parameter, the actual sensed value, its remaining energy levels, and other quantities such as the time-to-go in the mission (if limited) or the anticipated energy inflow (if energy harvesting is used), it decides whether that sensed value is worth transmitting. We present heuristics to make this decision and evaluate their performance.

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Paper Citation


in Harvard Style

M. Krishna C. (2012). Adaptive Data Update Management in Sensor Networks . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 476-481. DOI: 10.5220/0004034404760481


in Bibtex Style

@conference{icinco12,
author={C. M. Krishna},
title={Adaptive Data Update Management in Sensor Networks},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={476-481},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004034404760481},
isbn={978-989-8565-21-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Adaptive Data Update Management in Sensor Networks
SN - 978-989-8565-21-1
AU - M. Krishna C.
PY - 2012
SP - 476
EP - 481
DO - 10.5220/0004034404760481