Distributed low power scheduling in wireless sensor networks

Kim Taehong, Park Noseong, Chong Poh Kit, Sung Jongwoo, Kim Daeyoung

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

2 Citations (Scopus)

Abstract

Wireless sensor networks are becoming more and more common in the ubiquitous computing era. The applications of sensor networks are diverse and they are employed in areas such as smart homes, military, ITS, Are monitoring, factory automation, and so on. However, sensor networks are generally battery powered and thus, low power consumption is required for prolonged use. In this paper, we propose a distributed low power scheduling algorithm for sensor nodes to determine its active time slots in a TDMA mechanism working on top of a slotted CSMA network. The performance evaluation shows that an extremely small duty cycle is achieved by the proposed algorithm with a tradeoff in data delay in a sensor network application.

Original languageEnglish
Title of host publication2007 2nd International Symposium on Wireless Pervasive Computing
Pages268-273
Number of pages6
DOIs
Publication statusPublished - 2007 Aug 28
Event2007 2nd International Symposium on Wireless Pervasive Computing - San Juan, PR, United States
Duration: 2007 Feb 52007 Feb 7

Publication series

Name2007 2nd International Symposium on Wireless Pervasive Computing

Conference

Conference2007 2nd International Symposium on Wireless Pervasive Computing
CountryUnited States
CitySan Juan, PR
Period07/2/507/2/7

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

Fingerprint Dive into the research topics of 'Distributed low power scheduling in wireless sensor networks'. Together they form a unique fingerprint.

  • Cite this

    Taehong, K., Noseong, P., Poh Kit, C., Jongwoo, S., & Daeyoung, K. (2007). Distributed low power scheduling in wireless sensor networks. In 2007 2nd International Symposium on Wireless Pervasive Computing (pp. 268-273). [4147072] (2007 2nd International Symposium on Wireless Pervasive Computing). https://doi.org/10.1109/ISWPC.2007.342613