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TTCG: three-tier context gathering technique for mobile devices

Published: 06 July 2008 Publication History

Abstract

Previous research on sensor networks mainly focused on efficient transmission of data from sensors to fixed sink nodes. Recently there has been active research on mobile sink nodes, but the re-search of an environment where both fixed sink nodes and mobile sinks are present at the same time is rather scarce. This paper proposes a technique for context gathering by mobile de-vices with the sink functionality added through fixed sinks under a previously-built, cluster-based multi-hop sensor network environment. To this end, clustering of mobile devices were done based on the fixed sinks of a previously-built sensor network, and by using appropriate fixed sinks, context gathering was made possible. By mathematical comparison with TTDD routing proto-col, which was proposed for mobile sinks, it was confirmed that performance increases in energy with the number of mobile sinks, and with the number of movements by mobile devices.

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Cited By

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  • (2018)Insights Into IoT Data and an Innovative DWT-Based Technique to Denoise Sensor SignalsIEEE Sensors Journal10.1109/JSEN.2017.276738318:1(237-247)Online publication date: 1-Jan-2018
  • (2014)Context Aware Computing for The Internet of Things: A SurveyIEEE Communications Surveys & Tutorials10.1109/SURV.2013.042313.0019716:1(414-454)Online publication date: Sep-2015
  • (2014)Sink discovery in location-free and mobile-sink wireless sensor networksComputer Networks10.1016/j.comnet.2014.03.02867(123-140)Online publication date: Jul-2014
  • Show More Cited By

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Published In

cover image ACM Conferences
ICPS '08: Proceedings of the 5th international conference on Pervasive services
July 2008
202 pages
ISBN:9781605581354
DOI:10.1145/1387269
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 July 2008

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Author Tags

  1. context gathering
  2. mobile sink
  3. wireless sensor network

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Overall Acceptance Rate 23 of 34 submissions, 68%

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Cited By

View all
  • (2018)Insights Into IoT Data and an Innovative DWT-Based Technique to Denoise Sensor SignalsIEEE Sensors Journal10.1109/JSEN.2017.276738318:1(237-247)Online publication date: 1-Jan-2018
  • (2014)Context Aware Computing for The Internet of Things: A SurveyIEEE Communications Surveys & Tutorials10.1109/SURV.2013.042313.0019716:1(414-454)Online publication date: Sep-2015
  • (2014)Sink discovery in location-free and mobile-sink wireless sensor networksComputer Networks10.1016/j.comnet.2014.03.02867(123-140)Online publication date: Jul-2014
  • (2010)RISE: RIpple Sink Exploration in wireless sensor network2010 International Computer Symposium (ICS2010)10.1109/COMPSYM.2010.5685439(61-66)Online publication date: Dec-2010

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