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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| Vydáno v: | IEEE transactions on wireless communications Ročník 12; číslo 11; s. 5908 - 5917 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York, NY
IEEE
01.11.2013
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1536-1276, 1558-2248 |
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| Abstract | 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a completely distributed and asynchronous way: some nodes may update their estimates more frequently than others using outdated message from neighboring nodes.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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| AbstractList | 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. |
| Author | Du, Jian Wu, Yik-Chung |
| Author_xml | – sequence: 1 givenname: Jian surname: Du fullname: Du, Jian organization: Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong – sequence: 2 givenname: Yik-Chung surname: Wu fullname: Wu, Yik-Chung organization: Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong |
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| Keywords | 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 |
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| SubjectTerms | 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 |
| Title | Distributed Clock Skew and Offset Estimation in Wireless Sensor Networks: Asynchronous Algorithm and Convergence Analysis |
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