Centralized and decentralized detection with cost-constrained measurements
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/37334
Optimal detection performance of centralized and decentralized detection systems is investigated in the presence of cost constrained measurements. For the evaluation of detection performance, Bayesian, Neyman–Pearson and J-divergence criteria are considered. The main goal for the Bayesian criterion is to minimize the probability of error (more generally, the Bayes risk) under a constraint on the total cost of the measurement devices. In the Neyman–Pearson framework, the probability of detection is to be maximized under a given cost constraint. In the distance based criterion, the J-divergence between the distributions of the decision statistics under different hypotheses is maximized subject to a total cost constraint. The probability of error expressions are obtained for both centralized and decentralized detection systems, and the optimization problems are proposed for the Bayesian criterion. The probability of detection and probability of false alarm expressions are obtained for the Neyman–Pearson strategy and the optimization problems are presented. In addition, J-divergences for both centralized and decentralized detection systems are calculated and the corresponding optimization problems are formulated. The solutions of these problems indicate how to allocate the cost budget among the measurement devices in order to achieve the optimum performance. Numerical examples are presented to discuss the results. © 2016 Elsevier B.V.
- Research Paper 
Showing items related by title, author, creator and subject.
Verstockt, S.; Van Hoecke, S.; Beji, T.; Merci, B.; Gouverneur, B.; Cetin, A.E.; De Potter P.; Van De Walle, R. (2013)In this paper a novel multi-modal flame and smoke detector is proposed for the detection of fire in large open spaces such as car parks. The flame detector is based on the visual and amplitude image of a time-of-flight ...
Taşdemir, K.; Çetin, A.E. (Springer-Verlag London Ltd, 2014)We propose a motion vector-based video content-based copy detection method. One of the signatures of a given video is motion vectors extracted from image sequences. However, when consecutive image frames are used, the ...
Ambient assisted smart home design using vibration and PIR sensors [Vibrasyon ve PIR algilayicilar kullanilarak çevre destekli akilli ev tasarim] Yazar, A.; Enis Çetin, A. (2013)Intelligent ambient assisted living systems for elderly and handicapped people become affordable with the recent advances in computer and sensor technologies. In this paper, fall detection algorithm using multiple passive ...