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On Distributed Optimization using Peer-to-Peer Communications in Wireless Sensor Networks
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.
2008 (English)In: Proceedings of IEEE SECON, 2008, 497-505 p.Conference paper, Published paper (Refereed)
Abstract [en]

We describe and evaluate a suite of distributed and computationally efficient algorithms for solving a class of convex optimization problems in wireless sensor networks. The problem class has wide applications in estimation, detection, localization, coordination and resource sharing. We focus on peer-to-peer algorithms where nodes only exchange data with their immediate neighbors, and consider three distinct alternatives: a dual-based broadcast algorithm, a novel stochastic unicast algorithm, and a linear broadcast algorithm tailored for least-squares problems. We implement the algorithms in the network simulator NS2 and present extensive simulation results for random topologies.

Place, publisher, year, edition, pages
2008. 497-505 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-79741DOI: 10.1109/SAHCN.2008.66Scopus ID: 2-s2.0-51749102446OAI: oai:DiVA.org:kth-79741DiVA: diva2:499906
Conference
5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2008; San Francisco, CA; 16 June 2008 through 20 June 2008
Note
QC 20120220Available from: 2012-02-13 Created: 2012-02-09 Last updated: 2012-03-20Bibliographically approved

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Publisher's full textScopushttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04557789

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  • Other locale
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