Received signal strength for randomly distributed molecular nanonodes

Rafay Iqbal Ansari; Chrysostomos Chrysostomou; Taqwa Saeed; Marios Lestas; Andreas Pitsillides

doi:10.1145/3109453.3109466

Received signal strength for randomly distributed molecular nanonodes

Rafay Iqbal Ansari, Chrysostomos Chrysostomou, Taqwa Saeed, Marios Lestas, Andreas Pitsillides

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We consider nanonodes randomly distributed in a circular area and characterize the received signal strength when a pair of these nodes employ molecular communication. Two communication methods are investigated, namely free diffusion and diffusion with drift. Since the nodes are randomly distributed, the distance between them can be represented as a random variable, which results in a stochastic process representation of the received signal strength. We derive the probability density function of this process for both molecular communication methods. Specifically for the case of free diffusion we also derive the cumulative distribution function, which can be used to derive transmission success probabilities. The presented work constitutes a first step towards the characterization of the signal to noise ratio in the considered setting for a number of molecular communication methods.

Original language	English
Title of host publication	Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450349314
DOIs	https://doi.org/10.1145/3109453.3109466
Publication status	Published - 27 Sept 2017
Externally published	Yes
Event	4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017 - Washington, United States Duration: 27 Sept 2017 → 29 Sept 2017

Publication series

Name	Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017

Conference

Conference	4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017
Country/Territory	United States
City	Washington
Period	27/09/17 → 29/09/17

ASJC Scopus subject areas

Computational Theory and Mathematics
Communication
Computer Networks and Communications

Access to Document

10.1145/3109453.3109466

Cite this

Ansari, R. I., Chrysostomou, C., Saeed, T., Lestas, M., & Pitsillides, A. (2017). Received signal strength for randomly distributed molecular nanonodes. In Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017 Article 1 (Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3109453.3109466

Ansari, Rafay Iqbal ; Chrysostomou, Chrysostomos ; Saeed, Taqwa et al. / Received signal strength for randomly distributed molecular nanonodes. Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017. Association for Computing Machinery, Inc, 2017. (Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017).

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title = "Received signal strength for randomly distributed molecular nanonodes",

abstract = "We consider nanonodes randomly distributed in a circular area and characterize the received signal strength when a pair of these nodes employ molecular communication. Two communication methods are investigated, namely free diffusion and diffusion with drift. Since the nodes are randomly distributed, the distance between them can be represented as a random variable, which results in a stochastic process representation of the received signal strength. We derive the probability density function of this process for both molecular communication methods. Specifically for the case of free diffusion we also derive the cumulative distribution function, which can be used to derive transmission success probabilities. The presented work constitutes a first step towards the characterization of the signal to noise ratio in the considered setting for a number of molecular communication methods.",

author = "Ansari, {Rafay Iqbal} and Chrysostomos Chrysostomou and Taqwa Saeed and Marios Lestas and Andreas Pitsillides",

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Ansari, RI, Chrysostomou, C, Saeed, T, Lestas, M & Pitsillides, A 2017, Received signal strength for randomly distributed molecular nanonodes. in Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017., 1, Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017, Association for Computing Machinery, Inc, 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017, Washington, United States, 27/09/17. https://doi.org/10.1145/3109453.3109466

Received signal strength for randomly distributed molecular nanonodes. / Ansari, Rafay Iqbal; Chrysostomou, Chrysostomos; Saeed, Taqwa et al.
Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017. Association for Computing Machinery, Inc, 2017. 1 (Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Received signal strength for randomly distributed molecular nanonodes

AU - Ansari, Rafay Iqbal

AU - Chrysostomou, Chrysostomos

AU - Saeed, Taqwa

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AU - Pitsillides, Andreas

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AB - We consider nanonodes randomly distributed in a circular area and characterize the received signal strength when a pair of these nodes employ molecular communication. Two communication methods are investigated, namely free diffusion and diffusion with drift. Since the nodes are randomly distributed, the distance between them can be represented as a random variable, which results in a stochastic process representation of the received signal strength. We derive the probability density function of this process for both molecular communication methods. Specifically for the case of free diffusion we also derive the cumulative distribution function, which can be used to derive transmission success probabilities. The presented work constitutes a first step towards the characterization of the signal to noise ratio in the considered setting for a number of molecular communication methods.

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Ansari RI, Chrysostomou C, Saeed T, Lestas M, Pitsillides A. Received signal strength for randomly distributed molecular nanonodes. In Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017. Association for Computing Machinery, Inc. 2017. 1. (Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, NanoCom 2017). doi: 10.1145/3109453.3109466

Received signal strength for randomly distributed molecular nanonodes

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