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ue 16(9): e4

Research Article

Offset and Skew Estimation for Clock Synchronization in Molecular Communication Systems

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  • @ARTICLE{10.4108/eai.3-12-2015.2262509,
        author={Lin Lin and Chengfeng Yang and Maode Ma},
        title={Offset and Skew Estimation for Clock Synchronization in Molecular Communication Systems},
        journal={EAI Endorsed Transactions on Future Internet},
        volume={3},
        number={9},
        publisher={ACM},
        journal_a={UE},
        year={2016},
        month={5},
        keywords={clock synchronization, maximum likelihood estimation, molecular communication, nanonetworks},
        doi={10.4108/eai.3-12-2015.2262509}
    }
    
  • Lin Lin
    Chengfeng Yang
    Maode Ma
    Year: 2016
    Offset and Skew Estimation for Clock Synchronization in Molecular Communication Systems
    UE
    EAI
    DOI: 10.4108/eai.3-12-2015.2262509
Lin Lin1,*, Chengfeng Yang1, Maode Ma2
  • 1: Shanghai University
  • 2: Nanyang Technological University
*Contact email: m070005@e.ntu.edu.sg

Abstract

Nanonetwork is a promising research field. It is composed of a number of nanoscale devices and is envisioned to apply to many potential applications. Clock synchronization is essential to establish a distributed cooperation among the nano-devices. This paper investigates the clock synchronization issue for the molecular communication system in the presence of Gaussian distributed propagation delay. A two-way message exchange mechanism is proposed. The closed-form expressions of maximum likelihood estimators for the clock offset and the clock skew are derived. Simulation results further demonstrate the effectiveness of the proposed estimators. This work lays a foundation for the complex cooperation of nanomachines in the nanonetworks.

Keywords
clock synchronization, maximum likelihood estimation, molecular communication, nanonetworks
Published
2016-05-24
Publisher
ACM
http://dx.doi.org/10.4108/eai.3-12-2015.2262509

Copyright © 2015 L. Lin et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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