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 - http://www.scopus.com/inward/record.url?scp=85120522847&partnerID=8YFLogxK
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
T2 - 7th International Conference on Advances in Visual Informatics, IVIC 2021
Y2 - 23 November 2021 through 25 November 2021
ER -
