Decentralized detection in sensor networks

By J. Chamberland, Venugopal V. Veeravalli. IEEE Transactions on Signal Processing, 2003

577 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/51039228ffb918fd8f509babb52818286f92d7f6

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Citations in the corpus

Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks (2006, background): “There also exist many papers dedicated to the problem of distributed detection with constrained system resources [9]–[15].”
Channel aware decision fusion in wireless sensor networks (2004, background): “Decision fusion has also been considered under some communication constraint [8]–[12], where the communication constraint is often in the form of total number of bits allowed to be transmitted from local sensors to the reciever without regard to the possible channel induced transmission errors.”
Defending non-Bayesian learning against adversarial attacks (2016, unknown): “e authors and do not necessarily reﬂect the views of the funding agencies or the U.S. government. 2 1 Introduction Decentralized hypothesistesting (learning) hasreceived signiﬁcant amountof attention [1,2,3,5,6,7,8]. The traditional decentralized detection framework consists of a collection of spati”
Sensing-Throughput Tradeoff for Cognitive Radio Networks (2008, background): “While spectrum sensing is a conventional signal detection problem [16], [9], it has received growing attention recently in the area of wireless sensor networks [17], [18] and cognitive radio networks [12], [13], [14].”
On distributed fault-tolerant detection in wireless sensor networks (2006, background): “Studies show that such a detection process asymptotically achieves the performance of centralized detection [10], [11], [12] .”
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications (2022, unknown): “of a sensor network in [120], where multiple sensors convey their noisy observations to a fusion center over rate-limited links.”
UWB Systems for Wireless Sensor Networks (2009, background): “Location information is also important because monitoring and control systems often perform data analysis based on both spatial and temporal correlation from closely-spaced sensors [ 29-30 ].”
Quantized Consensus (2006, background): “The distributed detection problem is usually studied in a centralized setting [7], [8], [9].”
Distributed Detection: Finite-Time Analysis and Impact of Network Topology (2014, background): “Decentralizing the computation burden among agents has been widely regarded in networks ranging from sensor and robot to social and economic networks [8]–[11].”