6th International Conference on Performance Evaluation Methodologies and Tools

Research Article

Mean-field performance analysis of a hazard detection Wireless Sensor Network

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  • @INPROCEEDINGS{10.4108/valuetools.2012.250207,
        author={Marcel Guenther and Jeremy Bradley},
        title={Mean-field performance analysis of a hazard detection Wireless Sensor Network},
        proceedings={6th International Conference on Performance Evaluation Methodologies and Tools},
        publisher={IEEE},
        proceedings_a={VALUETOOLS},
        year={2012},
        month={11},
        keywords={wireless sensor networks fluid analysis pheromone routing transient analysis higher-moment analysis},
        doi={10.4108/valuetools.2012.250207}
    }
    
  • Marcel Guenther
    Jeremy Bradley
    Year: 2012
    Mean-field performance analysis of a hazard detection Wireless Sensor Network
    VALUETOOLS
    ICST
    DOI: 10.4108/valuetools.2012.250207
Marcel Guenther1,*, Jeremy Bradley1
  • 1: Imperial College London
*Contact email: mcg05@doc.ic.ac.uk

Abstract

Wireless Sensor networks (WSNs) are often deployed to monitor emergencies such as forest fires or landslides. Naturally, such events can impact network performance by destroying sensors or otherwise limiting their transmission capabilities. Fail-safe WSN routing protocols can mitigate the effect by closing routing holes promptly. Our work presents a model of pheromone based, fail-safe WSN routing. In particular we use higher-order moment mean-field techniques to study network behaviour during topology changes.