On the Interdependence of Routing and Data Compression in Multi-Hop Sensor Networks

By Anna Scaglione, Sergio D. Servetto. ACM/IEEE International Conference on Mobile Computing and Networking, 2002

371 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/a787d46dc44058ba4d66a2bfb9a7d6add89c50de

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In Computer Networks and Communications

Citations in the corpus

Data compression algorithms for energy-constrained devices in delay tolerant networks (2006, background): “Another group of prior sensor-oriented compression work has focused on data-centric routing and aggre gation [1][4][16][24][25][29][34].”
Growth codes: maximizing sensor network data persistence (2006, background): “Even if state-of-the-art compression techniques such as distributed source coding [33] or routing with re-coding are applied [8], there can be a significant delay between the time a unit of data is generated and the time at which it reaches the sink.”
For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid (2010, neutral): “networking community is to exploit directly the data structure and correlation among the sensor data to reduce the information ﬂows and to manage the rise in complexity of routing and processing data [77], [78], [79], [80], [81], [82]. In fact, eliminating queuing delays only may be insufﬁcient sinc”
Spatial correlation-based collaborative medium access control in wireless sensor networks (2006, background): “There exists some research to study the correlation in WSN [6], [13], [17] in recent years.”
Spatio-temporal correlation: theory and applications for wireless sensor networks (2004, background): “In a recent effort, the joint routing and source coding is introduced in [18] to reduce the amount of traffic generated in dense sensor networks with spatially correlated records.”
Distributed algorithms for guiding navigation across a sensor network (2003, neutral): “[23] Anna Scaglione and Sergio Servetto.”
The impact of spatial correlation on routing with compression in wireless sensor networks (2008, methodology): “This model is motivated by the scheme in [5].”