Distributed consensus algorithms in sensor networks with imperfect communication: Link failures and channel noise

IEEE Transactions on Signal Processing

Volumn 57, Issue 1, 2009, Pages 355-369

  Kar, Soummya ^a   Moura, José M F ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Additive noise; Consensus; Random topology; Sensor networks; Stochastic approximation

Indexed keywords

ADDITIVE NOISE; APPROXIMATION THEORY; COMMUNICATION CHANNELS (INFORMATION THEORY); MARKOV PROCESSES; RANDOM PROCESSES; SENSORS; SPURIOUS SIGNAL NOISE; STOCHASTIC CONTROL SYSTEMS; TOPOLOGY; WIRELESS SENSOR NETWORKS;

AVERAGE CONSENSUS; BIAS REDUCTION; CHANNEL NOISES; COMMUNICATION NOISE; CONSENSUS; CONVERGENCE RATES; DISTRIBUTED CONSENSUS; FINAL STATES; GAUSSIAN NOISE; HIGH PROBABILITY; LINK FAILURES; MONTE CARLO (MC); NC ALGORITHM; NETWORK LINKS; RANDOM TOPOLOGY; RESCALING; STOCHASTIC APPROXIMATION;

SENSOR NETWORKS;

EID: 58649106429     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2008.2007111     Document Type: Article

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