Applied introductory circuit analysis for electrical and computer engineers
Applied introductory circuit analysis for electrical and computer engineers
Nanonetworks: A new communication paradigm
Computer Networks: The International Journal of Computer and Telecommunications Networking
On molecular multiple-access, broadcast, and relay channels in nanonetworks
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
Molecular communication options for long range nanonetworks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Molecular communication for nanoscale communication networks
Proceedings of the 8th International Conference on Frontiers of Information Technology
Physical channel characterization for medium-range nanonetworks using flagellated bacteria
Computer Networks: The International Journal of Computer and Telecommunications Networking
Nanonetworks: a new frontier in communications
Communications of the ACM
A simulation tool for biological nano-communication systems
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
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Molecular communication is a promising paradigm for nanoscale networks. The end-to-end (including the channel) models developed for classical wireless communication networks need to undergo a profound revision so that they can be applied for nanonetworks. Consequently, there is a need to develop new end-to-end (including the channel) models which can give new insights into the design of these nanoscale networks. The objective of this paper is to introduce a new physical end-to-end (including the channel) model for molecular communication. The new model is investigated by means of three modules, i.e., the transmitter, the signal propagation and the receiver. Each module is related to a specific process involving particle exchanges, namely, particle emission, particle diffusion and particle reception. The particle emission process involves the increase or decrease of the particle concentration rate in the environment according to a modulating input signal. The particle diffusion provides the propagation of particles from the transmitter to the receiver by means of the physics laws underlying particle diffusion in the space. The particle reception process is identified by the sensing of the particle concentration value at the receiver location. Numerical results are provided for three modules, as well as for the overall end-to-end model, in terms of normalized gain and delay as functions of the input frequency and of the transmission range.