IEEE Transactions on Mobile Computing
Some aspects of DOA estimation using a network of blind sensors
Signal Processing
Searching for a lion in the desert: optics-based acquisition algorithms for wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Optimal sensor selection in binary heterogeneous sensor networks
IEEE Transactions on Signal Processing
Optimal noise benefits in Neyman-Pearson and inequality-constrained statistical signal detection
IEEE Transactions on Signal Processing
Distributed detection with censoring sensors under physical layer secrecy
IEEE Transactions on Signal Processing
PAC vs. MAC for decentralized detection using noncoherent modulation
IEEE Transactions on Signal Processing
Energy-efficient routing for signal detection in wireless sensor networks
IEEE Transactions on Signal Processing
Survey on contemporary remote surveillance systems for public safety
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Energy-efficient optical acquisition schemes in wireless sensor networks
Wireless Networks
Distributed multiple hypothesis testing in sensor networks under bandwidth constraint
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
Data fusion of multi-sensor for IOT precise measurement based on improved PSO algorithms
Computers & Mathematics with Applications
Reliable and energy efficient cooperative detection in wireless sensor networks
Computer Communications
Wireless Personal Communications: An International Journal
Cooperation of multiple mobile sensors with minimum energy cost for mobility and communication
Information Sciences: an International Journal
International Journal of Communication Networks and Distributed Systems
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There is significant interest in battery-powered sensor networks to be used for detection in a wide variety of applications, from surveillance and security to health and environmental monitoring. Severe energy and bandwidth constraints at each sensor node demand system-level approaches to design that consider detection performance jointly with system-resource constraints. Our approach is to formulate detection problems with constraints on the expected cost arising from transmission (sensor nodes to a fusion node) and measurement (at each sensor node) to address some of the system-level costs in a sensor network. For a given resource constraint, we find that randomization over the choice of measurement and over the choice of when to transmit achieves the best performance (in a Bayesian, Neyman-Pearson, and Ali-Silvey sense). To facilitate design, we describe performance criteria in the send/no-send transmission scenario, where the joint optimization over the sensor nodes decouples into optimization at each sensor node.