A Design of a Molecular Communication System for Nanomachines Using Molecular Motors

Moore, Michael J.; Enomoto, Akihiro; Nakano, Tadashi; Egashira, Ryota; Suda, Tatsuya; Kayasuga, Atsushi; Kojima, Hiroaki; Sakakibara, Hitoshi; Oiwa, Kazuhiro

doi:10.1109/percomw.2006.4

Cited by 101 publications

(62 citation statements)

References 5 publications

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“…Compared with other molecular communication approaches (e.g., molecular motors [12], calcium signaling [14] and bacteria communication [10]), neuron-based communication has such advantages as long distance coverage, high speed signaling (up to 90 m/s [8]) and low attenuation in signaling [6].…”

Section: Related Workmentioning

confidence: 99%

Robustness in TDMA Scheduling for Neuron-based Molecular Communication

Suzuki

Budiman

2013

Proceedings of the 8th International Conference on Body Area Networks

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This paper proposes and evaluates an optimizer for neuronbased body-area nanonetworks (BANNs). The proposed optimizer leverages an evolutionary algorithm to seek the optimal trade-off between communication latency and robustness in TDMA-based neuronal signaling. Simulation results demonstrate that the proposed optimizer efficiently obtains quality solutions and multiobjective analysis is critical in configuring neuron-based BANNs.

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Section: Related Workmentioning

confidence: 99%

Robustness in TDMA Scheduling for Neuron-based Molecular Communication

Suzuki

Budiman

2013

Proceedings of the 8th International Conference on Body Area Networks

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“…A communication using molecular motors was proposed in [33] and a study about using bacteria is presented in [17] .…”

Section: Classificationmentioning

confidence: 99%

Diffusion-based physical channel identification in molecular nanonetworks

Garralda

Llátser

Cabellos‐Aparicio

et al. 2011

Nano Communication Networks

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Nanotechnology is the engineering of functional systems at the molecular/atomic level. Nanomachines are expected to be very simple devices, but nanonetworks, the association of nanomachines, are expected to increase their capabilities, allowing them to share information in order to perform more complex tasks and increase their range of operation. How nanomachines will communicate is currently under In this work, the diffusion-based MC channel is explored in order to extract its main communication metrics, such as attenuation and delay with respect to frequency and distance. The LTI property is proven to be a valid assumption for normal diffusionbased single/multi-transmitter scenarios. Different pulse-based modulation techniques are compared by means of throughput, operation range, energy requirements and ISI, and the optimal pulse shape for these modulations is provided. Finally, interferences are evaluated in a broadcast communication scenario and diffusion-based noise is observed and assessed with reference to already proposed stochastic models.The exploration of the physical diffusion-based communication channel is based on simulations. N3Sim, a simulation framework for the general case of diffusion communication, is presented and used for the simulations.We aim to contribute with this simulator and this study to continue the development of an appropriate channel model tailored to the physical layer singularities of

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“…As stated in [48], different studies have been performed on the design of nanoscale communication, introducing design approaches for molecular communication [46,49,50]. Other studies address the single molecular communication channel from an information theoretical perspective [51] and an adaptive error compensation mechanism for improving molecular communication channel capacity [52].…”

Section: Extending Networking Concepts To Nanoscale Communicationsmentioning

confidence: 99%

Heterogeneous and opportunistic wireless networks

Perez-Romero

Palazzo

Galluccio

et al. 2012

The Newcom++ Vision Book

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Recent years have witnessed the evolution of a large plethora of wireless technologies with different characteristics, as a response of the operators' and users' needs in terms of an efficient and ubiquitous delivery of advanced multimedia services. The wireless segment of network infrastructure has penetrated in our lives, and wireless connectivity has now reached a state where it is considered to be an indispensable service as electricity or water supply. Wireless data networks grow increasingly complex as a multiplicity of wireless information terminals with sophisticated capabilities get embedded in the infrastructure.When looking at the horizon of the next decades, even more significant changes are expected, bringing the wireless world closer and closer to our daily life, which will definitely pose new challenges in the design of future wireless networks. In the following sections, a vision is briefly described on some of the envisaged elements that will guide this evolution, and that will definitely impact of the design of the network layers of wireless networks.In particular, and addressing a shorter term perspective, the paper starts in Section 1 with the implications of network heterogeneity on how wireless networks will be operated and perceived by the users, with the corresponding requirements for smart radio resource management strategies. Then, Section 2 will address the concept of self-organising networks, since it is expected that, due to the increase in complexity in future networks, together with the huge amount of parameters to be tuned for network optimisation, mechanisms are established to allow the self-configuration of a wireless network with minimum human intervention. Going a step further from the more classical cellular networks and their evolutions, the next sections address other types of wireless communications networks that are also envisaged to arise

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A Design of a Molecular Communication System for Nanomachines Using Molecular Motors

Cited by 101 publications

References 5 publications

Robustness in TDMA Scheduling for Neuron-based Molecular Communication

Robustness in TDMA Scheduling for Neuron-based Molecular Communication

Diffusion-based physical channel identification in molecular nanonetworks

Heterogeneous and opportunistic wireless networks

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