Lynx: A self-organizing wireless sensor network with commodity palmtop computers

Haifeng Xu, Melissa M. Bilec, William O. Collinge, Laura A. Schaefer, Amy E. Landis, Alex K. Jones

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

Abstract

While the embedded class processors found in commodity palmtop computers continue to become increasingly capable, various wireless connectivity functions on them provide new opportunities in designing more flexible yet smarter wireless sensor networks (WSNs), and utilizing the computation power in a way we could never imagine before. Designing Lynx, a selforganizing wireless sensor network (SOWSN), is our further step taken in exploiting the potential of palmtop computers. Fundamental functionalities such as automatic neighbor relation detection, link state maintenance, sensor integration, and multihop routing, together make a real world distributively managed WSN system implementation work quite well. And by combining with Ocelot, our mobile distributed computing engine, sensor nodes are now capable of collecting, recording, processing and sending data without any central server support. Significant energy saving is achieved by the Lynx and Ocelot combined system, compare to traditional power-hungry computer platforms such as BOINC when doing same tasks.

Original languageEnglish (US)
Title of host publicationInternational Workshop on System Level Interconnect Prediction, SLIP
PublisherAssociation for Computing Machinery
Volume2015-July
ISBN (Print)9781467381895
DOIs
StatePublished - Jul 28 2015
EventACM/IEEE International Workshop on System Level Interconnect Prediction, SLIP 2015 - San Francisco, United States
Duration: Jun 6 2015 → …

Other

OtherACM/IEEE International Workshop on System Level Interconnect Prediction, SLIP 2015
CountryUnited States
CitySan Francisco
Period6/6/15 → …

Keywords

  • Distributed computing
  • Multi-hop routing
  • Palmtop computers
  • Self-organizing network
  • Wireless sensor network

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

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