TiNA: A Scheme for Temporal Coherency-Aware in-Network Aggregation

Mohamed A. Sharaf, Jonathan Beaver, Alexandros Labrinidis, Panos K. Chrysanthis

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

197 Citations (Scopus)

Abstract

This paper presents TiNA, a scheme for minimizing energy consumption in sensor networks by exploiting end-user tolerance to temporal coherency. TiNA utilizes temporal coherency tolerances to both reduce the amount of information transmitted by individual nodes (communication cost dominates power usage in sensor networks), and to improve quality of data when not all sensor readings can be propagated up the network within a given time constraint. TiNA was evaluated against a traditional in-network aggregation scheme with respect to power savings as well as the quality of data for aggregate queries. Preliminary results show that TiNA can reduce power consumption by up to 50% without any loss in the quality of data.

Original languageEnglish
Title of host publicationProceedings of the Third ACM International Workshop on Data Engineering for Wireless and Mobile Access, MobiDE 2003
EditorsS. Banerjee, M. Cherniack, A. Labrinids
Pages69-76
Number of pages8
Publication statusPublished - 2003
Externally publishedYes
EventProceedings of the Third ACM International Workshop on Data Engineering for Wireless and Mobile Access, MobiDE 2003 - San Diego, CA, United States
Duration: Sept 19 2003Sept 19 2003

Publication series

NameProceedings of the Third ACM International Workshop on Data Engineering for Wireless and Mobile Access: MobiDE 2003

Conference

ConferenceProceedings of the Third ACM International Workshop on Data Engineering for Wireless and Mobile Access, MobiDE 2003
Country/TerritoryUnited States
CitySan Diego, CA
Period9/19/039/19/03

Keywords

  • Power-aware In-network Aggregation
  • Sensor Network

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'TiNA: A Scheme for Temporal Coherency-Aware in-Network Aggregation'. Together they form a unique fingerprint.

Cite this