Optimization of Wireless Node Discovery in an IoT Network

Vladislav Vasilev; Georgi Iliev; Vladimir Poulkov; Albena Dimitrova Mihovska

doi:10.1109/GLOCOMW.2015.7414153

Optimization of Wireless Node Discovery in an IoT Network

Vladislav Vasilev, Georgi Iliev, Vladimir Poulkov, Albena Dimitrova Mihovska

Institut for Elektroniske Systemer

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

5 Citationer (Scopus)

Abstract

This paper proposes a scalable model based on
hyper-graph representation for the evaluation of the cooperation
between sensor nodes for a reliable node discovery. In the model,
a set of sensors participates in a single hyper-edge including
multiple sensors that work together resulting in the decrease in
discovery costs. The proposed model covers well the dynamics of
the complex sensor network, such as the one that maybe employed
in an Internet of Things (IoT) scenario, where nodes need to act
autonomously during the communication process. We apply the
Lotka-Voltera model to increase the probability of existence of
the communication paths in the component, while keeping the
memory and thus the energy expenditure of the whole connected
component under a threshold.

Originalsprog	Engelsk
Titel	2015 IEEE Globecom Workshops (GC Wkshps)
Antal sider	5
Forlag	IEEE Press
Publikationsdato	dec. 2015
ISBN (Elektronisk)	978-1-4673-9526-7
DOI	https://doi.org/10.1109/GLOCOMW.2015.7414153
Status	Udgivet - dec. 2015
Begivenhed	IEEE GLOBECOM 2015 - San Diego, CA, USA Varighed: 6 dec. 2015 → 10 dec. 2015

Konference

Konference	IEEE GLOBECOM 2015
Land/Område	USA
By	San Diego, CA
Periode	06/12/2015 → 10/12/2015

Navn	Globecom. I E E E Conference and Exhibition
ISSN	1930-529X

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10.1109/GLOCOMW.2015.7414153

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Citationsformater

@inproceedings{e5aa31dc29aa474facb849e3a4986499,

title = "Optimization of Wireless Node Discovery in an IoT Network",

abstract = "This paper proposes a scalable model based onhyper-graph representation for the evaluation of the cooperationbetween sensor nodes for a reliable node discovery. In the model,a set of sensors participates in a single hyper-edge includingmultiple sensors that work together resulting in the decrease indiscovery costs. The proposed model covers well the dynamics ofthe complex sensor network, such as the one that maybe employedin an Internet of Things (IoT) scenario, where nodes need to actautonomously during the communication process. We apply theLotka-Voltera model to increase the probability of existence ofthe communication paths in the component, while keeping thememory and thus the energy expenditure of the whole connectedcomponent under a threshold.",

keywords = "IoT, optimization of wireless nodes communication, hyper-graph, Lotka-Volterra",

author = "Vladislav Vasilev and Georgi Iliev and Vladimir Poulkov and Mihovska, {Albena Dimitrova}",

year = "2015",

month = dec,

doi = "10.1109/GLOCOMW.2015.7414153",

language = "English",

series = "Globecom. I E E E Conference and Exhibition",

publisher = "IEEE Press",

booktitle = "2015 IEEE Globecom Workshops (GC Wkshps)",

note = "IEEE GLOBECOM 2015 ; Conference date: 06-12-2015 Through 10-12-2015",

}

TY - GEN

T1 - Optimization of Wireless Node Discovery in an IoT Network

AU - Vasilev, Vladislav

AU - Iliev, Georgi

AU - Poulkov, Vladimir

AU - Mihovska, Albena Dimitrova

PY - 2015/12

Y1 - 2015/12

N2 - This paper proposes a scalable model based onhyper-graph representation for the evaluation of the cooperationbetween sensor nodes for a reliable node discovery. In the model,a set of sensors participates in a single hyper-edge includingmultiple sensors that work together resulting in the decrease indiscovery costs. The proposed model covers well the dynamics ofthe complex sensor network, such as the one that maybe employedin an Internet of Things (IoT) scenario, where nodes need to actautonomously during the communication process. We apply theLotka-Voltera model to increase the probability of existence ofthe communication paths in the component, while keeping thememory and thus the energy expenditure of the whole connectedcomponent under a threshold.

AB - This paper proposes a scalable model based onhyper-graph representation for the evaluation of the cooperationbetween sensor nodes for a reliable node discovery. In the model,a set of sensors participates in a single hyper-edge includingmultiple sensors that work together resulting in the decrease indiscovery costs. The proposed model covers well the dynamics ofthe complex sensor network, such as the one that maybe employedin an Internet of Things (IoT) scenario, where nodes need to actautonomously during the communication process. We apply theLotka-Voltera model to increase the probability of existence ofthe communication paths in the component, while keeping thememory and thus the energy expenditure of the whole connectedcomponent under a threshold.

KW - IoT, optimization of wireless nodes communication, hyper-graph, Lotka-Volterra

U2 - 10.1109/GLOCOMW.2015.7414153

DO - 10.1109/GLOCOMW.2015.7414153

M3 - Article in proceeding

T3 - Globecom. I E E E Conference and Exhibition

BT - 2015 IEEE Globecom Workshops (GC Wkshps)

PB - IEEE Press

T2 - IEEE GLOBECOM 2015

Y2 - 6 December 2015 through 10 December 2015

ER -

Optimization of Wireless Node Discovery in an IoT Network

Abstract

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