The complexity of Markov decision processes
Mathematics of Operations Research
Multisensor Data Fusion
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
On an Optimization Problem in Sensor Selection
Discrete Event Dynamic Systems
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Tracking a moving object with a binary sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
Distributed state representation for tracking problems in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
International Journal of Communication Systems
An Efficient Dynamic Algorithm for Maintaining All-Pairs Shortest Paths in Stochastic Networks
IEEE Transactions on Computers
Self-organization of unattended wireless acoustic sensor networks for ground target tracking
Pervasive and Mobile Computing
International Journal of Communication Systems
Markov decision processes for control of a sensor network-based health monitoring system
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Distributed and energy-efficient target localization and tracking in wireless sensor networks
Computer Communications
LACAS: learning automata-based congestion avoidance scheme for healthcare wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on wireless and pervasive communications for healthcare
Distributed Energy Optimization for Target Tracking in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Energy-quality tradeoffs for target tracking in wireless sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Opportunistic transmission for wireless sensor networks under delay constraints
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
An Adaptive Learning Scheme for Medium Access with Channel Reservation in Wireless Networks
Wireless Personal Communications: An International Journal
Dynamic algorithms for the shortest path routing problem: learning automata-based solutions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Wireless Sensor Networks (WSN)-based surveillance applications necessitate tracking a target's trajectory with a high degree of precision. Further, target tracking schemes should consider energy consumption in these resource-constrained networks. In this work, we propose an energy-efficient target tracking algorithm, which minimizes the number of nodes in the network that should be activated for tracking the movement of the target. We model the movement of a target based on the Gauss Markov Mobility Model [Camp et al. 2002]. On detecting a target, the cluster head which detects it activates an optimal number of nodes within its cluster, so that these nodes start sensing the target. A Markov Decision Process (MDP)-based framework is designed to adaptively determine the optimal policy for selecting the nodes localized with each cluster. As the distance between the node and the target decreases, the Received Signal Strength (RSS) increases, thereby increasing the precision of the readings of sensing the target at each node. Simulations show that our proposed algorithm is energy-efficient. Also, the accuracy of the tracked trajectory varies between 50% to 1% over time.