Nature inspired node density estimation for molecular NanoNetworks

Taqwa Saeed; Marios Lestas; Andreas Pitsillides

doi:10.1145/2967446.2967481

Nature inspired node density estimation for molecular NanoNetworks

Taqwa Saeed, Marios Lestas, Andreas Pitsillides

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

Abstract

Inspired by the quorum sensing process, we propose and analyze a distributed density estimation scheme for molecular nanonetworks, based on synchronous transmission of the network nodes and sensing of the received molecular concentration. We show that when infinite space transmission is employed, a linear static parametric model can be obtained to be used as a baseline for estimation algorithm design. When, however, the space is finite, the model becomes time varying and periodic broadcasting and integration over the broadcast period is employed to render the model static.

Original language	English
Title of host publication	Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450340618
DOIs	https://doi.org/10.1145/2967446.2967481
Publication status	Published - 28 Sept 2016
Externally published	Yes
Event	3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016 - New York, United States Duration: 28 Sept 2016 → 30 Sept 2016

Publication series

Name	Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016

Conference

Conference	3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016
Country/Territory	United States
City	New York
Period	28/09/16 → 30/09/16

ASJC Scopus subject areas

Computational Theory and Mathematics
Communication
Computer Networks and Communications

Access to Document

10.1145/2967446.2967481

Cite this

Saeed, T., Lestas, M., & Pitsillides, A. (2016). Nature inspired node density estimation for molecular NanoNetworks. In Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016 Article a33 (Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016). Association for Computing Machinery, Inc. https://doi.org/10.1145/2967446.2967481

Saeed, Taqwa ; Lestas, Marios ; Pitsillides, Andreas. / Nature inspired node density estimation for molecular NanoNetworks. Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016. Association for Computing Machinery, Inc, 2016. (Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016).

@inproceedings{9af4a1aa845745b5ac07e8c4e4d7ad61,

title = "Nature inspired node density estimation for molecular NanoNetworks",

abstract = "Inspired by the quorum sensing process, we propose and analyze a distributed density estimation scheme for molecular nanonetworks, based on synchronous transmission of the network nodes and sensing of the received molecular concentration. We show that when infinite space transmission is employed, a linear static parametric model can be obtained to be used as a baseline for estimation algorithm design. When, however, the space is finite, the model becomes time varying and periodic broadcasting and integration over the broadcast period is employed to render the model static.",

author = "Taqwa Saeed and Marios Lestas and Andreas Pitsillides",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016 ; Conference date: 28-09-2016 Through 30-09-2016",

year = "2016",

month = sep,

day = "28",

doi = "10.1145/2967446.2967481",

language = "English",

series = "Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016",

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booktitle = "Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016",

}

Saeed, T, Lestas, M & Pitsillides, A 2016, Nature inspired node density estimation for molecular NanoNetworks. in Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016., a33, Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016, Association for Computing Machinery, Inc, 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016, New York, United States, 28/09/16. https://doi.org/10.1145/2967446.2967481

Nature inspired node density estimation for molecular NanoNetworks. / Saeed, Taqwa; Lestas, Marios; Pitsillides, Andreas.
Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016. Association for Computing Machinery, Inc, 2016. a33 (Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016).

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

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AU - Pitsillides, Andreas

PY - 2016/9/28

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N2 - Inspired by the quorum sensing process, we propose and analyze a distributed density estimation scheme for molecular nanonetworks, based on synchronous transmission of the network nodes and sensing of the received molecular concentration. We show that when infinite space transmission is employed, a linear static parametric model can be obtained to be used as a baseline for estimation algorithm design. When, however, the space is finite, the model becomes time varying and periodic broadcasting and integration over the broadcast period is employed to render the model static.

AB - Inspired by the quorum sensing process, we propose and analyze a distributed density estimation scheme for molecular nanonetworks, based on synchronous transmission of the network nodes and sensing of the received molecular concentration. We show that when infinite space transmission is employed, a linear static parametric model can be obtained to be used as a baseline for estimation algorithm design. When, however, the space is finite, the model becomes time varying and periodic broadcasting and integration over the broadcast period is employed to render the model static.

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M3 - Conference contribution

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T3 - Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016

BT - Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016

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Saeed T, Lestas M, Pitsillides A. Nature inspired node density estimation for molecular NanoNetworks. In Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016. Association for Computing Machinery, Inc. 2016. a33. (Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016). doi: 10.1145/2967446.2967481

Nature inspired node density estimation for molecular NanoNetworks

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