NDLI: Optimal Sleep-Wake Scheduling for Quickest Intrusion Detection Using Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Premkumar, K. Kumar, A.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Commun. Eng. (ECE), Indian Inst. of Sci., Bangalore (Premkumar, K.; Kumar, A.)
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 $M_{k+1},$ the number of sensors in the wake state in time slot k + 1, (2) optimal control of $q_{k+1},$ 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 on $M_{k+1}$ 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.
Starting Page	1400
Ending Page	1408
File Size	272606
Page Count	9
File Format	PDF
ISBN	9781424420254
ISSN	0743166X
DOI	10.1109/INFOCOM.2008.198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intrusion detection Wireless sensor networks Intelligent sensors Sensor fusion Scheduling algorithm Open loop systems Testing Optimal control Cost function Sleep
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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