Robust resource allocation in wireless localization networks

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

Abstract

Reliable and accurate position estimation of 'agent' nodes is essential for many wireless applications. Typically agents perform position estimation through ranging with respect to 'anchor' nodes with known positions. In range-based localization techniques, system accuracy and energy efficiency are affected by both transmit power and signal bandwidth. We thus investigate the joint power and bandwidth allocation (JPBA) problems in wireless localization networks. We first formulate a general optimization model, which is proved to be non-convex. An approximate algorithm based on single condensation method is proposed to solve the problem. We then formulate the robust counterpart of the problem in the presence of uncertainty of the agents' positions. An low complexity method is also proposed to solve the robust JPBA problem. Numerical results validate the accuracy and robustness of the proposed algorithms.

Original languageEnglish
Title of host publication2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-447
Number of pages6
ISBN (Electronic)9781479941469
DOIs
StatePublished - 12 Jan 2015
Externally publishedYes
Event2014 IEEE/CIC International Conference on Communications in China, ICCC 2014 - Shanghai, China
Duration: 13 Oct 201415 Oct 2014

Publication series

Name2014 IEEE/CIC International Conference on Communications in China, ICCC 2014

Conference

Conference2014 IEEE/CIC International Conference on Communications in China, ICCC 2014
Country/TerritoryChina
CityShanghai
Period13/10/1415/10/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Geometric programming
  • Network localization
  • Resource allocation
  • Robust optimization

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