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Distributed consensus and linear functional calculation in networks: an observability perspective

Published: 25 April 2007 Publication History

Abstract

We study the problem of performing sensor fusion and distributed consensus in networks, where the objective is to calculate some linear function of the initial sensor values at some or all of the sensors. We utilize a linear iteration where, at each time-step, each sensor updates its value to be a weighted average of its own previous value and those of its neighbors. We show that this approach can be viewed as a linear dynamical system, with dynamics that are given by the weight matrix for the linear iteration, and with outputs for each sensor that are captured by the subset of the state vector that is measurable by that sensor. We then cast the fusion and consensus problems as that of observing a linear functional of the initial state vector using only local measurements (that are available at each sensor). When the topology of the network is time-invariant, we show that the weight matrix can be chosen so that each sensor can calculate the desired function as a linear combination of its measurements over a finite number of time-steps.

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Cited By

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  • (2019)Invariant Properties and Bounds on a Finite Time Consensus AlgorithmTransactions on Large-Scale Data- and Knowledge-Centered Systems XLI10.1007/978-3-662-58808-6_2(32-58)Online publication date: 7-Feb-2019
  • (2018)A Novel Approach for Fast Average Consensus Under Unreliable Communication in Distributed Multi Agent NetworksWireless Personal Communications: An International Journal10.1007/s11277-018-5282-899:4(1423-1441)Online publication date: 1-Apr-2018
  • (2017)An Exact Consensus-Based Network Intrusion Detection SystemFuture Data and Security Engineering10.1007/978-3-319-70004-5_25(351-367)Online publication date: 1-Nov-2017
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cover image ACM Conferences
IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks
April 2007
592 pages
ISBN:9781595936387
DOI:10.1145/1236360
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 25 April 2007

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Author Tags

  1. distributed consensus
  2. distributed fusion
  3. in-network processing and aggregation
  4. networked control

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

View all
  • (2019)Invariant Properties and Bounds on a Finite Time Consensus AlgorithmTransactions on Large-Scale Data- and Knowledge-Centered Systems XLI10.1007/978-3-662-58808-6_2(32-58)Online publication date: 7-Feb-2019
  • (2018)A Novel Approach for Fast Average Consensus Under Unreliable Communication in Distributed Multi Agent NetworksWireless Personal Communications: An International Journal10.1007/s11277-018-5282-899:4(1423-1441)Online publication date: 1-Apr-2018
  • (2017)An Exact Consensus-Based Network Intrusion Detection SystemFuture Data and Security Engineering10.1007/978-3-319-70004-5_25(351-367)Online publication date: 1-Nov-2017
  • (2014)Distributed data association in smart camera networks using belief propagationACM Transactions on Sensor Networks10.1145/253000010:2(1-24)Online publication date: 31-Jan-2014
  • (2013)Decentralized Equal-Sized Clustering in Sensor NetworksIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.E96.A.916E96.A:5(916-926)Online publication date: 2013
  • (2011)Accelerated corrective consensus: Converge to the exact average at a faster rateProceedings of the 2011 American Control Conference10.1109/ACC.2011.5991097(3417-3422)Online publication date: Jun-2011
  • (2010)Optimization and analysis of distributed averaging with short node memoryIEEE Transactions on Signal Processing10.1109/TSP.2010.204312758:5(2850-2865)Online publication date: 1-May-2010
  • (2009)Scheduling for finite time consensusProceedings of the 2009 conference on American Control Conference10.5555/1702315.1702642(1982-1986)Online publication date: 10-Jun-2009
  • (2009)Accelerated distributed average consensus via localized node state predictionIEEE Transactions on Signal Processing10.1109/TSP.2008.201037657:4(1563-1576)Online publication date: 1-Apr-2009
  • (2009)Polynomial filtering for fast convergence in distributed consensusIEEE Transactions on Signal Processing10.1109/TSP.2008.200614757:1(342-354)Online publication date: 1-Jan-2009
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