Literature Database Entry

dressler2008self-organized


Falko Dressler, "Self-Organized Event Detection in Sensor Networks using Bio-inspired Promoters and Inhibitors," Proceedings of 3rd ACM/ICST International Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS 2008), Hyogo, Japan, November 2008.

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.

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Falko Dressler

BibTeX reference

@inproceedings{dressler2008self-organized,
    author = {Dressler, Falko},
    title = {{Self-Organized Event Detection in Sensor Networks using Bio-inspired Promoters and Inhibitors}},
    booktitle = {3rd ACM/ICST International Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS 2008)},
    year = {2008},
    month = {November},
    address = {Hyogo, Japan},
    publisher = {ACM},
    doi = {10.1145/1512504.1512517},
   }
   
   

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