3d International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems

Research Article

Self-Organized Event Detection in Sensor Networks using Bio-inspired Promoters and Inhibitors

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  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2008.4697,
        author={Falko Dressler},
        title={Self-Organized Event Detection in Sensor Networks using Bio-inspired Promoters and Inhibitors},
        proceedings={3d International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems},
        publisher={ICST},
        proceedings_a={BIONETICS},
        year={2010},
        month={5},
        keywords={Sensor and actor networks promoter inhibitors networkcentric operation rule-based sensor network bio-inspired networking},
        doi={10.4108/ICST.BIONETICS2008.4697}
    }
    
  • Falko Dressler
    Year: 2010
    Self-Organized Event Detection in Sensor Networks using Bio-inspired Promoters and Inhibitors
    BIONETICS
    ICST
    DOI: 10.4108/ICST.BIONETICS2008.4697
Falko Dressler1,*
  • 1: Autonomic Networking Group, Dept. of Computer Science 7, University of Erlangen, Germany
*Contact email: dressler@informatik.uni-erlangen.de

Abstract

Sensor and Actor Networks (SANETs) represent a specific category of massively distributed systems in which coordination and control of the participating networked nodes is especially challenging. Recently, a number of self-organization methods have been published that focus on network-centric operation in such networks. Rule-based Sensor Network (RSN) is a programming approach that supports this kind of operation. It mainly features inherent support for heterogeneous nodes. Until now, the rule execution in RSN is too static for application in highly dynamic environments such as event detection of mobile targets. We present a bio-inspired approach for adaptation of the local rule execution, which is based on an promoter / inhibitor scheme. The application of this biological technique leads to improved reactivity and resource utilization. The advantages are demonstrated based on a comprehensive simulation study.