Localization in wireless sensor networks by constrained simultaneous perturbation stochastic approximation technique

Mohammad Abdul Azim, Zeyar Aung, Weidong Xiao, Vinod Khadkikar, Abbas Jamalipour

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

6 Scopus citations

Abstract

Localization of sensor networks poses an immense challenge and is considered as a hot research topic in recent days. To address the accuracy on localization this paper proposes constrained simultaneous perturbation stochastic approximation (SPSA) based localization techniques for wireless sensor networks. A simple centralized localization of the non-anchor nodes based on minimizing the summation of the estimated error of all neighbors is the basic building block of the proposed localization technique. This category of localization technique incurs errors often referred as flip ambiguity. The improvement of the simple SPSA based localization is made by modifying the algorithm to a constrained optimization technique using penalty function method where the correction on the flipped node is made by penalizing the identified flips by the penalty function. Simulation results demonstrate the superiority of the proposed SPSA algorithm compared to its closest counterpart, namely, the simulated annealing (SA) based localization algorithm.

Original languageBritish English
Title of host publication6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Proceedings
DOIs
StatePublished - 2012
Event6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Gold Coast, QLD, Australia
Duration: 12 Dec 201214 Dec 2012

Publication series

Name6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012 - Proceedings

Conference

Conference6th International Conference on Signal Processing and Communication Systems, ICSPCS 2012
Country/TerritoryAustralia
CityGold Coast, QLD
Period12/12/1214/12/12

Keywords

  • constrained optimization
  • localization
  • simultaneous perturbation stochastic approximation
  • wireless sensor network

Fingerprint

Dive into the research topics of 'Localization in wireless sensor networks by constrained simultaneous perturbation stochastic approximation technique'. Together they form a unique fingerprint.

Cite this