Distributed Clock Skew and Offset Estimation in Wireless Sensor Networks: Asynchronous Algorithm and Convergence Analysis

In this paper, we propose a fully distributed algorithm for joint clock skew and offset estimation in wireless sensor networks based on belief propagation. In the proposed algorithm, each node can estimate its clock skew and offset in a completely distributed and asynchronous way: some nodes may upd...

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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 12; no. 11; pp. 5908 - 5917
Main Authors: Du, Jian, Wu, Yik-Chung
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.11.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Applied sciences
asynchronous algorithm
Clock synchronization
Clocks
Convergence
Covariance matrices
Exact sciences and technology
factor graph
Information theory
Information, signal and communications theory
Organization and planning of networks (techniques and equipments)
Services and terminals of telecommunications
Signal processing algorithms
Switching and signalling
Synchronization
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Telemetry. Remote supervision. Telewarning. Remote control
Vectors
wireless sensor network
Wireless sensor networks
Clock synchronization
factor graph
Scalability
Wireless telecommunication
wireless sensor network
Data transmission
Updating
Optimal estimation
Clock
Remote sensing
Mean square error
Credal approach
asynchronous algorithm
Convergence rate
Signal detection
Cramer Rao inequality
Estimation error
Packet switching
Synchronization
Mean estimation
Asymmetry
Algorithm performance
Distributed algorithm
Information processing
Wireless network
Transmission loss
Sensor array
Algorithm analysis
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Description
Summary:In this paper, we propose a fully distributed algorithm for joint clock skew and offset estimation in wireless sensor networks based on belief propagation. In the proposed algorithm, each node can estimate its clock skew and offset in a completely distributed and asynchronous way: some nodes may update their estimates more frequently than others using outdated message from neighboring nodes. In addition, the proposed algorithm is robust to random packet loss. Such algorithm does not require any centralized information processing or coordination, and is scalable with network size. The proposed algorithm represents a unified framework that encompasses both classes of synchronous and asynchronous algorithms for network-wide clock synchronization. It is shown analytically that the proposed asynchronous algorithm converges to the optimal estimates with estimation mean-square-error at each node approaching the centralized Cramer-Rao bound under any network topology. Simulation results further show that {the convergence speed is faster than that corresponding to a synchronous algorithm.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2013.100213.130553