Bio-Inspired Synchronization for Nanocommunication Networks

Abadal, Sergi; Akyildiz, Ian F.

doi:10.1109/glocom.2011.6133931

Cited by 57 publications

(7 citation statements)

References 24 publications

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“…In [23,24], the authors used a bacterial quorum sensing mechanism to synchronize nano-machines. Molecules, called inducers, can be released by one nanomachine, and trigger another nanomachine to release the same self-induced molecules.…”

Section: Introductionmentioning

confidence: 99%

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

Lin

Yang

2015

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

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

Lin

Yang

2015

Sensors

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“…This involves synchronization and coding/decoding. References and discussed the synchronization in MC. For simplicity, we assume the transmitter and receiver has perfect synchronize in terms of time.…”

Section: Channel Capacitymentioning

confidence: 99%

Channel capacity analysis of a diffusion‐based molecular communication system with ligand receptors

Liu

Yang

2014

Int J Communication

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Summary Diffusion‐based communication is one of the most dominating forms in the micrometer and nanoscale communications. Generally, information is coded in molecules that are released by a transmitter nanomachine, propagated via a diffusion‐based channel, and then received by a receiving nanomachine (called receiver). The receiver considered in this paper is equipped with multiple ligand receptors. The molecular communication system in this paper is single hop and SISO. Namely, there is only a channel connecting a pair of transmitter and receiver. While most literature considers either the channel or the receptors, this paper proposes a channel model that takes into account both the diffusion‐based channel and the ligand‐based receiver. The channel capacity under such model is analyzed, which studies the impact of different parameters at both channel and the receiver on the performance of the molecular communication system. We establish a digital channel model based on the on–off keying and time slot scheme. A capacity expression is derived with consideration of the effects of the channel memory and ligand‐receptor binding mechanisms. The numerical results show that the overall channel capacity is restricted by the physical parameters of diffusion channel and ligand receptors. Copyright © 2014 John Wiley & Sons, Ltd.

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“…Most studies on MC systems have assumed perfect synchronisation while recent researches focused on synchronisation of MC systems. The studies in [11][12][13][14][15] have presented to achieve the PAS by using specific molecule types as PSs. In [11], two genes, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…luxI and luxR, are used as PSs in synthetic gene regulatory network. Similarly in [12,13], the method of biological bacterial Quorum sensing has been introduced in which the bacteria of different species are used as PSs for synchronisation between the nodes of a nanonetwork. Additionally, in [14,15], the PAS method for the molecular machine, i.e.…”

Section: Introductionmentioning

confidence: 99%

Synchronisation of alpha‐stable levy noise‐based Random Communication System

Ahmed

Savacı

2018

IET Communications

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In this study, the pilot-assisted synchronisation method for a random communication system (RCS) has been proposed. The pilot symbol, which has alpha-stable distribution, has been used to establish synchronisation and to maintain covertness in the RCS. The introduced synchronisation block (SB) consists of fractional lower-order covariance-based correlators (FLOCCs), threshold detectors (TDs) and the synchronisation control block. To measure the performance of the proposed SB, the performance criterion, i.e. confidence ratio (CR), has been proposed. The reliability of the proposed SB can be enhanced by altering the CR and the achieved CR by using the FLOCCs and TDs in SB.

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Bio-Inspired Synchronization for Nanocommunication Networks

Cited by 57 publications

References 24 publications

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

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

Channel capacity analysis of a diffusion‐based molecular communication system with ligand receptors

Synchronisation of alpha‐stable levy noise‐based Random Communication System

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