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Secure Routing in Wireless Sensor Networks via POMDPs

Athirai Irissappane, Jie Zhang, Frans A. Oliehoek, and Partha S. Dutta. Secure Routing in Wireless Sensor Networks via POMDPs. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI), pp. 2617–2623, July 2015.

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Abstract

Wireless sensor networks are being increasingly used for sustainable development. The task of rout- ing in these resource-constraint networks is partic- ularly challenging as they operate over prolonged deployment periods, necessitating optimal use of their resources. Moreover, due to the deployment in unattended environments, they become an easy target for attackers. In this paper, we propose a hi- erarchical POMDP based approach to make routing decisions with partial/limited information about the sensor nodes, in a secure and energy-efficient man- ner. We demonstrate in a large-scale simulation that the approach provides a better energy/packet deliv- ery tradeoff than competing methods, and also val- idate these conclusions in a real-world testbed.

BibTeX Entry

@inproceedings{Irissappane15IJCAI,
    author =    {Athirai Irissappane 
                and Jie Zhang 
                and Frans A. Oliehoek 
                and Partha  S. Dutta},
    title =     {Secure Routing in Wireless Sensor Networks via {POMDPs}},
    booktitle = IJCAI15,
    year =      2015,
    month =     jul,
    pages     = {2617--2623},
    url =       {https://www.aaai.org/ocs/index.php/IJCAI/IJCAI15/paper/view/10990/11029},
    abstract = {
    Wireless sensor networks are being increasingly
    used for sustainable development. The task of rout-
    ing in these resource-constraint networks is partic-
    ularly challenging as they operate over prolonged
    deployment periods, necessitating optimal use of
    their resources. Moreover, due to the deployment
    in unattended environments, they become an easy
    target for attackers. In this paper, we propose a hi-
    erarchical POMDP based approach to make routing
    decisions with partial/limited information about the
    sensor nodes, in a secure and energy-efficient man-
    ner. We demonstrate in a large-scale simulation that
    the approach provides a better energy/packet deliv-
    ery tradeoff than competing methods, and also val-
    idate these conclusions in a real-world testbed.
    }
}

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