Retrieval of the extreme values under deadline constraints in wireless sensor networks

Seung Jun Baek, Xiaohan Yu, Kyogu Lee, Hyunhak Kim

Research output: Contribution to journalArticle

Abstract

We consider a problem of retrieving the extreme value among sensed data under deadline constraints in wireless sensor networks with potential applications to alarm systems. The sensed data is mapped to a score which we adopt as a unified measure of the relative urgency of the data. The objective is to retrieve the data with the maximum score. We propose fully distributed schemes for contention based medium access and data combining. The proposed medium access scheme uses a randomized back-off which is controlled based on the score of the data to be transmitted. Data combining techniques are proposed to further suppress unnecessary traffic and reduce contention. The key observation is that one should aggressively prioritize packets with high score, up to an extent that does not incur excessive contention in channel access. Designed to capture such aspect, the proposed scheme is shown to substantially decrease the latency of the retrieval.

Original languageEnglish
Pages (from-to)5229-5252
Number of pages24
JournalSensors
Volume11
Issue number5
DOIs
Publication statusPublished - 2011 May 1

Fingerprint

Alarm systems
retrieval
Wireless sensor networks
Observation
warning systems
sensors
traffic

Keywords

  • Distributed algorithm
  • Latency
  • Medium access control
  • Wireless sensor networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Analytical Chemistry
  • Biochemistry

Cite this

Retrieval of the extreme values under deadline constraints in wireless sensor networks. / Baek, Seung Jun; Yu, Xiaohan; Lee, Kyogu; Kim, Hyunhak.

In: Sensors, Vol. 11, No. 5, 01.05.2011, p. 5229-5252.

Research output: Contribution to journalArticle

Baek, Seung Jun ; Yu, Xiaohan ; Lee, Kyogu ; Kim, Hyunhak. / Retrieval of the extreme values under deadline constraints in wireless sensor networks. In: Sensors. 2011 ; Vol. 11, No. 5. pp. 5229-5252.
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