1st International ICST Workshop on Future Trends on Design and Analysis of Dynamic Networks

Research Article

Robustness and Performance Analysis of a Dynamic Sensor Network Scheduling Algorithm

  • @INPROCEEDINGS{10.4108/ICST.QSHINE2008.4091,
        author={Mikl\^{o}s Moln\^{a}r and Gyula Simon and L\^{a}szl\^{o} G\o{}nczy},
        title={Robustness and Performance Analysis of a Dynamic Sensor Network Scheduling Algorithm},
        proceedings={1st International ICST Workshop on Future Trends on Design and Analysis of Dynamic Networks},
        publisher={ACM},
        proceedings_a={FTDA-DN},
        year={2010},
        month={5},
        keywords={sensor networks energy conservation coverage},
        doi={10.4108/ICST.QSHINE2008.4091}
    }
    
  • Miklós Molnár
    Gyula Simon
    László Gönczy
    Year: 2010
    Robustness and Performance Analysis of a Dynamic Sensor Network Scheduling Algorithm
    FTDA-DN
    ICST
    DOI: 10.4108/ICST.QSHINE2008.4091
Miklós Molnár1,*, Gyula Simon2,*, László Gönczy3,*
  • 1: IRISA/University of Rennes 1, Campus Universitaire de Beaulieu, 35042 Rennes Cedex, France
  • 2: University of Pannonia, Veszprém, Hungary
  • 3: Budapest University of Technology and Economics, Budapest, Hungary
*Contact email: molnar@irisa.fr, simon@dcs.vein.hu, gonczy@mit.bme.hu

Abstract

This paper presents the robustness and performance analysis of the Controlled Greedy Sleep algorithm, which was designed to provide k-coverage in wireless sensor networks. The aim of this algorithm is to prolong network lifetime while ensuring QoS requirements in a dynamic manner. We investigated how the network can be strenghtened to improve performance characteristics, and how this algorithm ensures graceful degradation (i.e., how the network will provide less accurate measurement data as sensors become unavailable). We also test the robustness of the algorithm by measuring the effect of message loss due to communication errors. We compare the results to those of a very known and frequently used random algorithm. Our performance tests are based on simulations results.