Intelligent Multi-cellular Network Connectivity for Internet of Things Applications

Kisheen Rao Gsangaya; Sami Salama Hussen Hajjaj; Wahidah Hashim; Rina Azlin Razali

doi:10.1007/978-3-030-90235-3_27

Intelligent Multi-cellular Network Connectivity for Internet of Things Applications

Kisheen Rao Gsangaya
, Sami Salama Hussen Hajjaj^*
, Wahidah Hashim
, Rina Azlin Razali

^*Corresponding author for this work

Universiti Tenaga Nasional

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

1 Citation (Scopus)

Abstract

The Internet of Things (IoT) is the interconnection of computing devices embedded in everyday objects, enabling them to send and receive data via the Internet. Unfortunately, single cellular networks cannot provide the best connectivity for IoT applications due to limited coverage, network congestion, and poor data rate. A multi-cellular network modem was developed in this research work to establish reliable and cost-effective network connectivity for information broadcast in outdoor IoT applications. The prototype modem continuously monitors network parameters, including download rate, upload rate, and latency, and switches to the best available network using a selection algorithm to ensure optimum quality of service. Based on the assessment of the prototype modem, the network selection algorithm was able to continuously switch to the best available network based on the download rate with a 100% success rate at all five urban test locations. The modem also provided a significant improvement of up to 10% in terms of packet transfer speed compared to a single network system. Additionally, when connected to an IoT device, the modem achieved an impressive 100% data broadcast success rate, compared to 96% and 89% when using a single network setup.

Original language	English
Title of host publication	Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings
Editors	Halimah Badioze Zaman, Alan F. Smeaton, Timothy K. Shih, Sergio Velastin, Tada Terutoshi, Bo Nørregaard Jørgensen, Hazleen Aris, Nazrita Ibrahim
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	310-321
Number of pages	12
ISBN (Print)	9783030902346
DOIs	https://doi.org/10.1007/978-3-030-90235-3_27
Publication status	Published - 2021
Externally published	Yes
Event	7th International Conference on Advances in Visual Informatics, IVIC 2021 - Kajang, Malaysia Duration: 23 Nov 2021 → 25 Nov 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13051 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Advances in Visual Informatics, IVIC 2021
Country/Territory	Malaysia
City	Kajang
Period	23/11/21 → 25/11/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Cellular networks
Internet of Things
IoT Applications
IoT Networking
Network selection algorithms

Access to Document

10.1007/978-3-030-90235-3_27

Cite this

Gsangaya, K. R., Hajjaj, S. S. H., Hashim, W., & Razali, R. A. (2021). Intelligent Multi-cellular Network Connectivity for Internet of Things Applications. In H. Badioze Zaman, A. F. Smeaton, T. K. Shih, S. Velastin, T. Terutoshi, B. N. Jørgensen, H. Aris, & N. Ibrahim (Eds.), Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings (pp. 310-321). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13051 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-90235-3_27

Gsangaya, Kisheen Rao ; Hajjaj, Sami Salama Hussen ; Hashim, Wahidah et al. / Intelligent Multi-cellular Network Connectivity for Internet of Things Applications. Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings. editor / Halimah Badioze Zaman ; Alan F. Smeaton ; Timothy K. Shih ; Sergio Velastin ; Tada Terutoshi ; Bo Nørregaard Jørgensen ; Hazleen Aris ; Nazrita Ibrahim. Springer Science and Business Media Deutschland GmbH, 2021. pp. 310-321 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{f35750b219564e70af31bb945de98b47,

title = "Intelligent Multi-cellular Network Connectivity for Internet of Things Applications",

abstract = "The Internet of Things (IoT) is the interconnection of computing devices embedded in everyday objects, enabling them to send and receive data via the Internet. Unfortunately, single cellular networks cannot provide the best connectivity for IoT applications due to limited coverage, network congestion, and poor data rate. A multi-cellular network modem was developed in this research work to establish reliable and cost-effective network connectivity for information broadcast in outdoor IoT applications. The prototype modem continuously monitors network parameters, including download rate, upload rate, and latency, and switches to the best available network using a selection algorithm to ensure optimum quality of service. Based on the assessment of the prototype modem, the network selection algorithm was able to continuously switch to the best available network based on the download rate with a 100\% success rate at all five urban test locations. The modem also provided a significant improvement of up to 10\% in terms of packet transfer speed compared to a single network system. Additionally, when connected to an IoT device, the modem achieved an impressive 100\% data broadcast success rate, compared to 96\% and 89\% when using a single network setup.",

keywords = "Cellular networks, Internet of Things, IoT Applications, IoT Networking, Network selection algorithms",

author = "Gsangaya, \{Kisheen Rao\} and Hajjaj, \{Sami Salama Hussen\} and Wahidah Hashim and Razali, \{Rina Azlin\}",

note = "Funding Information: The authors would like to thank the Innovative \& Research Management Centre, and the Institute of Informatics and Computing in Energy (IICE), UNITEN, for their support of this project. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 7th International Conference on Advances in Visual Informatics, IVIC 2021 ; Conference date: 23-11-2021 Through 25-11-2021",

year = "2021",

doi = "10.1007/978-3-030-90235-3\_27",

language = "English",

isbn = "9783030902346",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "310--321",

editor = "\{Badioze Zaman\}, Halimah and Smeaton, \{Alan F.\} and Shih, \{Timothy K.\} and Sergio Velastin and Tada Terutoshi and J{\o}rgensen, \{Bo N{\o}rregaard\} and Hazleen Aris and Nazrita Ibrahim",

booktitle = "Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings",

}

Gsangaya, KR, Hajjaj, SSH, Hashim, W & Razali, RA 2021, Intelligent Multi-cellular Network Connectivity for Internet of Things Applications. in H Badioze Zaman, AF Smeaton, TK Shih, S Velastin, T Terutoshi, BN Jørgensen, H Aris & N Ibrahim (eds), Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13051 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 310-321, 7th International Conference on Advances in Visual Informatics, IVIC 2021, Kajang, Malaysia, 23/11/21. https://doi.org/10.1007/978-3-030-90235-3_27

Intelligent Multi-cellular Network Connectivity for Internet of Things Applications. / Gsangaya, Kisheen Rao; Hajjaj, Sami Salama Hussen; Hashim, Wahidah et al.
Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings. ed. / Halimah Badioze Zaman; Alan F. Smeaton; Timothy K. Shih; Sergio Velastin; Tada Terutoshi; Bo Nørregaard Jørgensen; Hazleen Aris; Nazrita Ibrahim. Springer Science and Business Media Deutschland GmbH, 2021. p. 310-321 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13051 LNCS).

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

TY - GEN

T1 - Intelligent Multi-cellular Network Connectivity for Internet of Things Applications

AU - Gsangaya, Kisheen Rao

AU - Hajjaj, Sami Salama Hussen

AU - Hashim, Wahidah

AU - Razali, Rina Azlin

N1 - Funding Information: The authors would like to thank the Innovative & Research Management Centre, and the Institute of Informatics and Computing in Energy (IICE), UNITEN, for their support of this project. Publisher Copyright: © 2021, Springer Nature Switzerland AG.

PY - 2021

Y1 - 2021

N2 - The Internet of Things (IoT) is the interconnection of computing devices embedded in everyday objects, enabling them to send and receive data via the Internet. Unfortunately, single cellular networks cannot provide the best connectivity for IoT applications due to limited coverage, network congestion, and poor data rate. A multi-cellular network modem was developed in this research work to establish reliable and cost-effective network connectivity for information broadcast in outdoor IoT applications. The prototype modem continuously monitors network parameters, including download rate, upload rate, and latency, and switches to the best available network using a selection algorithm to ensure optimum quality of service. Based on the assessment of the prototype modem, the network selection algorithm was able to continuously switch to the best available network based on the download rate with a 100% success rate at all five urban test locations. The modem also provided a significant improvement of up to 10% in terms of packet transfer speed compared to a single network system. Additionally, when connected to an IoT device, the modem achieved an impressive 100% data broadcast success rate, compared to 96% and 89% when using a single network setup.

AB - The Internet of Things (IoT) is the interconnection of computing devices embedded in everyday objects, enabling them to send and receive data via the Internet. Unfortunately, single cellular networks cannot provide the best connectivity for IoT applications due to limited coverage, network congestion, and poor data rate. A multi-cellular network modem was developed in this research work to establish reliable and cost-effective network connectivity for information broadcast in outdoor IoT applications. The prototype modem continuously monitors network parameters, including download rate, upload rate, and latency, and switches to the best available network using a selection algorithm to ensure optimum quality of service. Based on the assessment of the prototype modem, the network selection algorithm was able to continuously switch to the best available network based on the download rate with a 100% success rate at all five urban test locations. The modem also provided a significant improvement of up to 10% in terms of packet transfer speed compared to a single network system. Additionally, when connected to an IoT device, the modem achieved an impressive 100% data broadcast success rate, compared to 96% and 89% when using a single network setup.

KW - Cellular networks

KW - Internet of Things

KW - IoT Applications

KW - IoT Networking

KW - Network selection algorithms

UR - https://www.scopus.com/pages/publications/85120522847

U2 - 10.1007/978-3-030-90235-3_27

DO - 10.1007/978-3-030-90235-3_27

M3 - Conference Proceeding

AN - SCOPUS:85120522847

SN - 9783030902346

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 310

EP - 321

BT - Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings

A2 - Badioze Zaman, Halimah

A2 - Smeaton, Alan F.

A2 - Shih, Timothy K.

A2 - Velastin, Sergio

A2 - Terutoshi, Tada

A2 - Jørgensen, Bo Nørregaard

A2 - Aris, Hazleen

A2 - Ibrahim, Nazrita

PB - Springer Science and Business Media Deutschland GmbH

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Gsangaya KR, Hajjaj SSH, Hashim W, Razali RA. Intelligent Multi-cellular Network Connectivity for Internet of Things Applications. In Badioze Zaman H, Smeaton AF, Shih TK, Velastin S, Terutoshi T, Jørgensen BN, Aris H, Ibrahim N, editors, Advances in Visual Informatics - 7th International Visual Informatics Conference, IVIC 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 310-321. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-90235-3_27

Intelligent Multi-cellular Network Connectivity for Internet of Things Applications

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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