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WiFlock: Collaborative group discovery and maintenance in mobile sensor networks

  • Aveek Purohit*
  • , Bodhi Priyantha
  • , Jie Liu
  • *Corresponding author for this work
  • Carnegie Mellon University
  • Microsoft USA

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Low energy neighbor discovery, group formation, and group maintenance is a fundamental service in mobile sensor networks. Traditional solutions consider these protocols separately. In this paper, we introduce WiFlock, an energy-efficient protocol that combines discovery and maintenance using a collaborative beaconing mechanism. WiFlock combines a coordinated synchronized listening and evenly-spaced transmission (SLEST) schedule effectively with oneway discovery beacons to fulfill both purposes. We show that shorter listening duration implies smaller discovery latency and faster group information propagation. Using a novel carrier sensing technique, we achieve a fast wakeup and listen duration of 80s on a low-power radio. With this listening duration, we evaluate WiFlock on a 50-node test bed with nodes running at 0.2% duty cycles. We show that WiFlock has shorter discovery latency and better scalability than previous approaches.

Original languageEnglish
Title of host publicationProceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11
Pages37-48
Number of pages12
StatePublished - 2011
Externally publishedYes
Event10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11 - Chicago, IL, United States
Duration: 12 Apr 201114 Apr 2011

Publication series

NameProceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11

Conference

Conference10th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN'11
Country/TerritoryUnited States
CityChicago, IL
Period12/04/1114/04/11

Keywords

  • Flocking
  • Group Management
  • Mobile
  • Neighbor Discovery
  • Sensor Networks
  • Wireless

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