Optimal Sleep-Wake Scheduling for Quickest Intrusion Detection using wireless sensor Networks

Premkumar, K and Kumar, Anurag (2008) Optimal Sleep-Wake Scheduling for Quickest Intrusion Detection using wireless sensor Networks. In: Proceedings of the IEEE Infocom, Phoenix, 13-18 April 2008 , Phoenix, AZ.

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Abstract

We consider the problem of quickest detection of an intrusion using a sensor network, keeping only a minimal number of sensors active. By using a minimal number of sensor devices,we ensure that the energy expenditure for sensing, computation and communication is minimized (and the lifetime of the network is maximized). We model the intrusion detection (or change detection) problem as a Markov decision process (MDP). Based on the theory of MDP, we develop the following closed loop sleep/wake scheduling algorithms: 1) optimal control of Mk+1, the number of sensors in the wake state in time slot k + 1, 2) optimal control of qk+1, the probability of a sensor in the wake state in time slot k + 1, and an open loop sleep/wake scheduling algorithm which 3) computes q, the optimal probability of a sensor in the wake state (which does not vary with time),based on the sensor observations obtained until time slot k.Our results show that an optimum closed loop control onMk+1 significantly decreases the cost compared to keeping any number of sensors active all the time. Also, among the three algorithms described, we observe that the total cost is minimum for the optimum control on Mk+1 and is maximum for the optimum open loop control on q.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 2009 IEEE. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords:	Bayesian change detection;intrusion detection;quickest change detection with observation cost
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	20 Sep 2011 07:29
Last Modified:	20 Sep 2011 07:29
URI:	http://eprints.iisc.ac.in/id/eprint/40615

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