1st International ICST Conference on Autonomic Computing and Communication Systems

Research Article

Empirical-Based Analysis of a Cooperative Location-Sensing System

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  • @INPROCEEDINGS{10.4108/ICST.AUTONOMICS2007.2226,
        author={Konstantinos Vandikas and Lito Kriara and Tonia Papakonstantin and Anastasia Katranidou and Haris Baltzakis and Maria Papadopouli},
        title={Empirical-Based Analysis of a Cooperative Location-Sensing System},
        proceedings={1st International ICST Conference on Autonomic Computing and Communication Systems},
        publisher={ICST},
        proceedings_a={AUTONOMICS},
        year={2007},
        month={10},
        keywords={},
        doi={10.4108/ICST.AUTONOMICS2007.2226}
    }
    
  • Konstantinos Vandikas
    Lito Kriara
    Tonia Papakonstantin
    Anastasia Katranidou
    Haris Baltzakis
    Maria Papadopouli
    Year: 2007
    Empirical-Based Analysis of a Cooperative Location-Sensing System
    AUTONOMICS
    ICST
    DOI: 10.4108/ICST.AUTONOMICS2007.2226
Konstantinos Vandikas1, Lito Kriara1, Tonia Papakonstantin1, Anastasia Katranidou2, Haris Baltzakis1, Maria Papadopouli1,*
  • 1: Institute of Computer Science Foundation for Research and Technology-Hellas Department of Computer Science University of Crete
  • 2: Institute of Computer Science Department of Computer Science Foundation for Research and Technology-Hellas University of Crete
*Contact email: mgp@ics.forth.gr

Abstract

We have designed a novel positioning system, the Coopera- tive Location-sensing system (CLS) that employs the peer- to-peer paradigm and a probabilistic framework to estimate the position of wireless-enabled devices in an iterative man- ner without the need for an extensive infrastructure or time- strenuous training. CLS can incorporate signal-strength maps of the environment to improve the position estimates. Such maps have been built using measurements that were ac- quired from Access Points (APs) and peers during a train- ing phase. This paper makes three important contributions. First, it uses a particle-flters-based framework to model the- oretically CLS. Second, it proposes new algorithms that in- corporate real-life signal strength measurements from (APs) and peers to estimate position and distance. Third, it evalu- ates the performance of CLS via real-life measurements and extensive simulation, and compares it with other positioning systems. We have implemented and evaluated the CLS pro- totype along with its variants using IEEE802.11 and Blue- tooth, and compared its performance with other positioning systems.