Detection, Classification and Tracking of Targets in Distributed Sensor Networks

By Dan Li, Kerry D. Wong, Y. Hu, Akbar M. Sayeed. 2002

350 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d8b643364bc0ed1d179c1fffe55e25eb070456c3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

A protocol for tracking mobile targets using sensor networks (2003, background): “Collaborative signal processing aspects for target classification in sensor networks is addressed in [7].”
Collaborative signal and information processing: an information-directed approach (2003, background): “Detection is an important capability for a sensor network, as a tracker must rely on detection to initialize itself as new events emerge [25], [14].”
Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection (2006, background): “As Li et al. (2002) note, the complexity of the more sophisticated algorithms is justified only if their accuracy is higher than the node spacing itself.”
Integrated coverage and connectivity configuration for energy conservation in sensor networks (2005, methodology): “For example, distributed detection based on data fusion [Varshney 1996] requires that every location be monitored by multiple nodes, and distributed tracking and classiﬁcation [Li et al. 2002] requires even higher degrees of coverage.”
A synchronized quorum of genetic clocks (2010, unknown): “In physics and engineering, the Huygens paradigm of coupled pendulum clocks 1–3 has permeated diverse areas from the development of arrays of lasers 4 and super-conducting junctions 5 to Global Positioning System (GPS) 6 and distributed sensor networks 7 .”
Integrated coverage and connectivity configuration in wireless sensor networks (2003, background): “For example, distributed detection [15] requires every location be monitored by multiple nodes, and distributed tracking and classification [9] requires even higher degrees of coverage.”
Decentralized multiple target tracking using netted collaborative autonomous trackers (2005, background): “Thus, to make good use of such sensor networks for target tracking, complex computation must be distributed into the network, since once a certain unit takes charge of sensing, its computational load on target tracking needs to be migrated to other idle units.”
Micro-Blog: sharing and querying content through mobile phones and social participation (2008, methodology): “This model has been most successful in scientific and military settings such as wildlife surveillance [2], volcano monitoring [5], vehicle tracking [6], and environment sensing [7].”
A line in the sand: a wireless sensor network for target detection, classification, and tracking (2004, methodology): “Most of this work is based on collaborative signal and information processing, A. Arora et al. / Computer Networks 46 (2004) 605–634 609 sequential Bayesian filtering, and extended Kalman filtering [9–11].”
Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling (2010, unknown): “For instance, problems such as multi-agent coordination, distributed tracking and localization, estimation problems in sensor networks and packet routing are all naturally cast as distributed convex minimization [BT89, LWHS02, LOT03, RN04, XBK07].”