Collaborative signal and information processing: an information-directed approach

By Feng Zhao, Juan Liu, Leonidas J. Guibas, J. Reich. Proceedings of the IEEE, 2003

408 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/7246fca44c273ce47b78d7532be732cf927e7fae

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Citations in the corpus

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].”
Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks (2007, background): “For example, in Sensoria sensors and Berkeley motes, the ratio between communication and computation energy consumption ranges from 10(3) to 10(4) [7].”
BorderSense: Border patrol through advanced wireless sensor networks (2011, methodology): “Besides the centralized tracking strategies, distributed tracking based on collaborative signal and information processing can also be utilized [18,21,40].”
An Overview on Wireless Sensor Networks Technology and Evolution (2009, methodology): “The adoption of DDSP techniques aims at reducing the amount of transmitted data over the wireless medium; on the other hand, the complexity of the signal processing performed at a single node has to be kept under control [26–28].”
SensEye: a multi-tier camera sensor network (2005, background): “Our current prototype can handle slow moving objects, and trajectory prediction schemes for fast moving objects (using techniques such as [25]) is the subject of ongoing research.”
JAM: a jammed-area mapping service for sensor networks (2003, background): “[28] describe the tracking problem, including that of contours, in terms of collaborative information processing.”
Gossip Algorithms for Distributed Signal Processing (2010, background): “Early research in this area considered applications such as detection, classification, tracking, and pursuit [2]–[5].”
Information fusion for wireless sensor networks: Methods, models, and classifications (2007, methodology): “…the project might include the TinyDB query system [Madden et al. 2005], a target tracking algorithm with information-driven source selection [Zhao et al. 2003a], the GHT data-centric storage system [Ratnasamy et al. 2003] for ef.cient data distribution, and an energy map [Mini et al.…”
A distributed coverage- and connectivity-centric technique for selecting active nodes in wireless sensor networks (2005, background): “It is, however, undesirable to keep all the sensor nodes active at all times for sensing and communication.”
Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, background): “If multiple inputs/outputs are collocated, the cooperative joint encoding/decoding of the inputs/outputs can be conducted [21], [44], [158], [184]–[190], which renders joint MIMO transmission/detection feasible.”