Online algorithms for wireless sensor networks dynamic optimization

Arslan Munir, Ann Gordon-Ross, Susan Lysecky, Roman Lysecky

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

5 Scopus citations

Abstract

Technological advancements in wireless communications and embedded systems have led to the proliferation of wireless sensor network (WSN) applications, each with varying application requirements (i.e., lifetime, throughput, reliability, etc.). Sensor node tunable parameters enable WSN designers to specialize/tune a sensor node to meet application requirements, but however, parameter tuning is a challenging process that requires designer expertise to consider sensor node complexities and changing environmental stimuli. In this paper, we develop lightweight, online optimization algorithms for sensor node parameter tuning, which enables dynamic optimizations to meet application requirements and adapt to changing environmental stimuli. Results reveal that our online optimizations quickly converge to a near optimal solution using minimal computational and storage resources, and are thus amenable for implementation on resource and energy-constrained sensor nodes.

Original languageEnglish (US)
Title of host publication2012 IEEE Consumer Communications and Networking Conference, CCNC'2012
Pages180-187
Number of pages8
DOIs
StatePublished - 2012
Event2012 IEEE Consumer Communications and Networking Conference, CCNC'2012 - Las Vegas, NV, United States
Duration: Jan 14 2012Jan 17 2012

Publication series

Name2012 IEEE Consumer Communications and Networking Conference, CCNC'2012

Other

Other2012 IEEE Consumer Communications and Networking Conference, CCNC'2012
Country/TerritoryUnited States
CityLas Vegas, NV
Period1/14/121/17/12

Keywords

  • Wireless sensor networks
  • dynamic optimization
  • lightweight
  • low-power

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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