Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks

Recent advances in nanotechnology, electronic technology and biology have enabled the development of bio-inspired nanoscale sensors. The cooperation among the bionanosensors in a network is envisioned to perform complex tasks. Clock synchronization is essential to establish diffusion-based distribut...

Full description

Saved in:
Bibliographic Details
Main Authors: Lin, Lin, Yang, Chengfeng, Ma, Maode
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/81913
http://hdl.handle.net/10220/39681
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-81913
record_format dspace
spelling sg-ntu-dr.10356-819132022-02-16T16:27:23Z Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks Lin, Lin Yang, Chengfeng Ma, Maode School of Electrical and Electronic Engineering Bionanosensor networks Molecular communication Diffusion Clock synchronization Recent advances in nanotechnology, electronic technology and biology have enabled the development of bio-inspired nanoscale sensors. The cooperation among the bionanosensors in a network is envisioned to perform complex tasks. Clock synchronization is essential to establish diffusion-based distributed cooperation in the bionanosensor networks. This paper proposes a maximum-likelihood estimator of the clock offset for the clock synchronization among molecular bionanosensors. The unique properties of diffusion-based molecular communication are described. Based on the inverse Gaussian distribution of the molecular propagation delay, a two-way message exchange mechanism for clock synchronization is proposed. The maximum-likelihood estimator of the clock offset is derived. The convergence and the bias of the estimator are analyzed. The simulation results show that the proposed estimator is effective for the offset compensation required for clock synchronization. This work paves the way for the cooperation of nanomachines in diffusion-based bionanosensor networks. Published version 2016-01-12T08:17:54Z 2019-12-06T14:42:55Z 2016-01-12T08:17:54Z 2019-12-06T14:42:55Z 2015 Journal Article Lin, L., Yang, C., & Ma, M. (2015). Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks. Sensors, 15(12), 30827-30838. 1424-8220 https://hdl.handle.net/10356/81913 http://hdl.handle.net/10220/39681 10.3390/s151229830 26690173 en Sensors © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/) 12 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Bionanosensor networks
Molecular communication
Diffusion
Clock synchronization
spellingShingle Bionanosensor networks
Molecular communication
Diffusion
Clock synchronization
Lin, Lin
Yang, Chengfeng
Ma, Maode
Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks
description Recent advances in nanotechnology, electronic technology and biology have enabled the development of bio-inspired nanoscale sensors. The cooperation among the bionanosensors in a network is envisioned to perform complex tasks. Clock synchronization is essential to establish diffusion-based distributed cooperation in the bionanosensor networks. This paper proposes a maximum-likelihood estimator of the clock offset for the clock synchronization among molecular bionanosensors. The unique properties of diffusion-based molecular communication are described. Based on the inverse Gaussian distribution of the molecular propagation delay, a two-way message exchange mechanism for clock synchronization is proposed. The maximum-likelihood estimator of the clock offset is derived. The convergence and the bias of the estimator are analyzed. The simulation results show that the proposed estimator is effective for the offset compensation required for clock synchronization. This work paves the way for the cooperation of nanomachines in diffusion-based bionanosensor networks.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Lin, Lin
Yang, Chengfeng
Ma, Maode
format Article
author Lin, Lin
Yang, Chengfeng
Ma, Maode
author_sort Lin, Lin
title Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks
title_short Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks
title_full Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks
title_fullStr Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks
title_full_unstemmed Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks
title_sort maximum-likelihood estimator of clock offset between nanomachines in bionanosensor networks
publishDate 2016
url https://hdl.handle.net/10356/81913
http://hdl.handle.net/10220/39681
_version_ 1725985663521652736