loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: C. M. Krishna

Affiliation: University of Massachusetts at Amherst, United States

Keyword(s): Sensor Networks, Energy-aware Computing, Energy Harvesting, Accuracy Balancing.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Change Detection ; Data Engineering ; Environmental Monitoring and Control ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.191.107.181

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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; ISSN 2184-2809, SciTePress, pages 476-481. DOI: 10.5220/0004034404760481

@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},
issn={2184-2809},
}

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
IS - 2184-2809
AU - M. Krishna, C.
PY - 2012
SP - 476
EP - 481
DO - 10.5220/0004034404760481
PB - SciTePress