Trade-off between energy efficiency and report validity for mobile sensor networks

Huai-Lei Fu, Phone Lin, Yuguang Fang, Ting-Yu Wang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Citations (Scopus)

Abstract

Mobile sensor networks (MSNs) have been widely deployed to provide a ubiquitous solution to real-time monitoring applications such as traffic data collection in vehicular ad-hoc networks (VANETs), ocean data collection in underwater sensor networks (UWSNs), and biodata collection in wireless body area networks (WBANs). One major issue for designing MSNs is the energy-validity trade-off, that is, the trade-off between the energy efficiency for mobile sensors (MSs) and the validity of sensing reports. In this article, we propose a novel mechanism, Energy-Efficient Distributedly Controlled Reporting (E2DCR), to mitigate the energy consumption for MSs in real-time monitoring applications while keeping the sensing report valid. In this mechanism, we design dynamic sleeping adjustment (DSA) algorithms to adjust an MS's sleeping period using a heuristic method to reduce energy consumption.We provide analytical models to evaluate the performance of E2DCR in terms of the power savings and report validity. It has been shown that with E2DCR, MSs can report with less energy consumption while satisfying delay constraints for real-time monitoring applications.© 2013 ACM.
Original languageEnglish
Article number49
JournalACM Transactions on Sensor Networks
Volume9
Issue number4
DOIs
Publication statusPublished - Jul 2013
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Data validity
  • Energy efficiency
  • Mobile sensor network
  • Real-time monitoring application
  • Region-based reporting

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