2nd International ICST Conference on Simulation Tools and Techniques

Research Article

Visual tracking using Sensor Networks

Download685 downloads
  • @INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2009.5575,
        author={Paolo Pagano and Francesco Piga and Giuseppe Lipari and Yao  Liang},
        title={Visual tracking using Sensor Networks},
        proceedings={2nd International ICST Conference on Simulation Tools and Techniques},
        publisher={ICST},
        proceedings_a={SIMUTOOLS},
        year={2010},
        month={5},
        keywords={WSN Operating Systems Simulation Data Analysis},
        doi={10.4108/ICST.SIMUTOOLS2009.5575}
    }
    
  • Paolo Pagano
    Francesco Piga
    Giuseppe Lipari
    Yao Liang
    Year: 2010
    Visual tracking using Sensor Networks
    SIMUTOOLS
    ICST
    DOI: 10.4108/ICST.SIMUTOOLS2009.5575
Paolo Pagano1,*, Francesco Piga1,*, Giuseppe Lipari1,*, Yao Liang2,*
  • 1: ReTiS laboratory, Scuola Superiore Sant’Anna, Pisa (I)
  • 2: Department of Computer Science, Indiana University Purdue University Indianapolis, Indianapolis (IN)
*Contact email: p.pagano@sssup.it, francesco.piga@gmail.com, lipari@sssup.it, yliang@cs.iupui.edu

Abstract

New trends in Wireless Sensor Networks envisage deployments for distributed applications requiring real-time support at the kernel level and Quality of Service at the network level. In this domain, at the design stage, particular attention must be devoted to individual data packets as those entities carrying unique (not redundant) information. The performances of the deployed system (hereby felt as a black box) must be tracked against the reliability and timeliness offered in message delivery.

A Visual Tracking case study is discussed throughout this paper with the support of a simulation package modelling real-time scheduling policies at the device node kernels and bandwidth allocation techniques for network reliable communications as standardized in the IEEE 802.15.4 suite of protocols. A set of results is carried out estimating the performances of the Visual Tracking system in two contexts (those of a monitored junction in an airport taxiway and in a parking area) very different for criticality and average volume of network traffic.