Design of Adaptive Overlays for Multi-scale Communication in Sensor Networks

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Distributed Computing in Sensor Systemsen_US
dc.citation.firstpage173
dc.citation.lastpage190
dc.citation.locationMarina del Rey, CAen_US
dc.contributor.authorPalChaudhuri, Santashilen_US
dc.contributor.authorKumar, Rajnishen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.authorJohnson, David B.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:57:39Z
dc.date.available2007-10-31T00:57:39Z
dc.date.issued2005-06-01en
dc.date.modified2006-07-17en_US
dc.date.note2006-07-17en_US
dc.date.submitted2005-06-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractIn wireless sensor networks, energy and communication bandwidth are precious resources. Traditionally, layering has been used as a design principle for network stacks; hence routing protocols assume no knowledge of the application behavior in the sensor node. In resource-constrained sensor-nodes, there is simultaneously a need and an opportunity to optimize the protocol to match the application. In this paper, we design a network architecture that efficiently supports multi-scale communication and collaboration among sensors. The architecture complements the previously proposed Abstract Regions architecture for local communication and collaboration. We design a self-organizing hierarchical overlay that scales to a large number of sensors and enables multi-resolution collaboration. We design effective Network Programming Interfaces to simplify the development of applications on top of the architecture; these interfaces are efficiently implemented in the network layer. The overlay hierarchy can adapt to match the collaboration requirements of the application and data both temporally and spatially. We present an initial evaluation of our design under simulation to show that it leads to reduced communication overhead, thereby saving energy.We are currently building our architecture in the TinyOS environment to demonstrate its effectiveness.en_US
dc.identifier.citationS. PalChaudhuri, R. Kumar, R. G. Baraniuk and D. B. Johnson, "Design of Adaptive Overlays for Multi-scale Communication in Sensor Networks," 2005.
dc.identifier.doihttp://dx.doi.org/10.1007/11502593_15en_US
dc.identifier.urihttps://hdl.handle.net/1911/20191
dc.language.isoeng
dc.subjectmulti-scale communication*
dc.subject.keywordmulti-scale communicationen_US
dc.subject.otherDSP for Communicationsen_US
dc.titleDesign of Adaptive Overlays for Multi-scale Communication in Sensor Networksen_US
dc.typeConference paper
dc.type.dcmiText
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