Integration of Smart Traffic Fog Nodes and Homes through a Model Driven Approach

Saud S. Alotaibi; Muhammad Rashid; Farooque Azam; Waseem Abbas; Yawar Rasheed; Mohammed H. Sinky; Muhammad Waseem Anwar

doi:10.1109/ICCIT52419.2022.9711644

Integration of Smart Traffic Fog Nodes and Homes through a Model Driven Approach

Saud S. Alotaibi
, Muhammad Rashid
, Farooque Azam
, Waseem Abbas
, Yawar Rasheed
, Mohammed H. Sinky
, Muhammad Waseem Anwar

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

2 Citations (Scopus)

Abstract

Evolving concepts of smart cities include smart traffic lights and smart homes. These devices keep on observing the activities of users and share it with the cloud for further processing and decisions accordingly. This makes these systems complex ones. Therefore, a model-driven framework is needed which can integrate smart traffic lights with smart homes for the minimization of inherent development complexity. This article proposes a model driven framework, which integrates the smart traffic Fog nodes and smart homes. The basic objective is to share the mutual data related to traffic using cloud computing technology. To achieve this, a meta model is proposed. Subsequently, a Sirius based graphical modeling tool is developed which may be used to model the complex scenarios of smart lights and smart homes. A model to text transformation code is also written to automatically generate the target java code from the developed model. The validity of the proposed model has been demonstrated through a real world case study. In future, the proposed framework can be extended by incorporating the concepts of security and integrity of data.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Computing and Information Technology, ICCIT 2022
Publisher	IEEE
Pages	104-109
Number of pages	6
ISBN (Electronic)	978-1-6654-3605-2
ISBN (Print)	978-1-6654-1175-2
DOIs	https://doi.org/10.1109/ICCIT52419.2022.9711644
Publication status	Published - 17 Feb 2022
Externally published	Yes
Event	2nd International Conference on Computing and Information Technology, ICCIT 2022 - Tabuk, Saudi Arabia Duration: 25 Jan 2022 → 27 Jan 2022 Conference number: 2

Publication series

Name	Proceedings of the International Conference on Computing and Information Technology
Publisher	IEEE
Volume	2022
ISSN (Print)	2474-9648
ISSN (Electronic)	2474-9656

Conference

Conference	2nd International Conference on Computing and Information Technology, ICCIT 2022
Abbreviated title	ICCIT 2022
Country/Territory	Saudi Arabia
City	Tabuk
Period	25/01/22 → 27/01/22

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

n/a OA procedure
Fog nodes
Meta-Model
Smart City
Smart Homes
Smart Traffic Light
Smart Vehicles
Cloud Computing

Access to Document

10.1109/ICCIT52419.2022.9711644

Cite this

Alotaibi, S. S., Rashid, M., Azam, F., Abbas, W., Rasheed, Y., Sinky, M. H., & Anwar, M. W. (2022). Integration of Smart Traffic Fog Nodes and Homes through a Model Driven Approach. In Proceedings of the 2nd International Conference on Computing and Information Technology, ICCIT 2022 (pp. 104-109). (Proceedings of the International Conference on Computing and Information Technology; Vol. 2022). IEEE. https://doi.org/10.1109/ICCIT52419.2022.9711644

@inproceedings{3efcc16fece6463d927234b89ec62cb3,

title = "Integration of Smart Traffic Fog Nodes and Homes through a Model Driven Approach",

abstract = "Evolving concepts of smart cities include smart traffic lights and smart homes. These devices keep on observing the activities of users and share it with the cloud for further processing and decisions accordingly. This makes these systems complex ones. Therefore, a model-driven framework is needed which can integrate smart traffic lights with smart homes for the minimization of inherent development complexity. This article proposes a model driven framework, which integrates the smart traffic Fog nodes and smart homes. The basic objective is to share the mutual data related to traffic using cloud computing technology. To achieve this, a meta model is proposed. Subsequently, a Sirius based graphical modeling tool is developed which may be used to model the complex scenarios of smart lights and smart homes. A model to text transformation code is also written to automatically generate the target java code from the developed model. The validity of the proposed model has been demonstrated through a real world case study. In future, the proposed framework can be extended by incorporating the concepts of security and integrity of data.",

keywords = "n/a OA procedure, Fog nodes, Meta-Model, Smart City, Smart Homes, Smart Traffic Light, Smart Vehicles, Cloud Computing",

author = "Alotaibi, \{Saud S.\} and Muhammad Rashid and Farooque Azam and Waseem Abbas and Yawar Rasheed and Sinky, \{Mohammed H.\} and Anwar, \{Muhammad Waseem\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2nd International Conference on Computing and Information Technology, ICCIT 2022, ICCIT 2022 ; Conference date: 25-01-2022 Through 27-01-2022",

year = "2022",

month = feb,

day = "17",

doi = "10.1109/ICCIT52419.2022.9711644",

language = "English",

isbn = "978-1-6654-1175-2",

series = "Proceedings of the International Conference on Computing and Information Technology",

publisher = "IEEE",

pages = "104--109",

booktitle = "Proceedings of the 2nd International Conference on Computing and Information Technology, ICCIT 2022",

address = "United States",

}

Alotaibi, SS, Rashid, M, Azam, F, Abbas, W, Rasheed, Y, Sinky, MH & Anwar, MW 2022, Integration of Smart Traffic Fog Nodes and Homes through a Model Driven Approach. in Proceedings of the 2nd International Conference on Computing and Information Technology, ICCIT 2022. Proceedings of the International Conference on Computing and Information Technology, vol. 2022, IEEE, pp. 104-109, 2nd International Conference on Computing and Information Technology, ICCIT 2022, Tabuk, Saudi Arabia, 25/01/22. https://doi.org/10.1109/ICCIT52419.2022.9711644

Integration of Smart Traffic Fog Nodes and Homes through a Model Driven Approach. / Alotaibi, Saud S.; Rashid, Muhammad; Azam, Farooque et al.
Proceedings of the 2nd International Conference on Computing and Information Technology, ICCIT 2022. IEEE, 2022. p. 104-109 (Proceedings of the International Conference on Computing and Information Technology; Vol. 2022).

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

TY - GEN

T1 - Integration of Smart Traffic Fog Nodes and Homes through a Model Driven Approach

AU - Alotaibi, Saud S.

AU - Rashid, Muhammad

AU - Azam, Farooque

AU - Abbas, Waseem

AU - Rasheed, Yawar

AU - Sinky, Mohammed H.

AU - Anwar, Muhammad Waseem

N1 - Conference code: 2

PY - 2022/2/17

Y1 - 2022/2/17

N2 - Evolving concepts of smart cities include smart traffic lights and smart homes. These devices keep on observing the activities of users and share it with the cloud for further processing and decisions accordingly. This makes these systems complex ones. Therefore, a model-driven framework is needed which can integrate smart traffic lights with smart homes for the minimization of inherent development complexity. This article proposes a model driven framework, which integrates the smart traffic Fog nodes and smart homes. The basic objective is to share the mutual data related to traffic using cloud computing technology. To achieve this, a meta model is proposed. Subsequently, a Sirius based graphical modeling tool is developed which may be used to model the complex scenarios of smart lights and smart homes. A model to text transformation code is also written to automatically generate the target java code from the developed model. The validity of the proposed model has been demonstrated through a real world case study. In future, the proposed framework can be extended by incorporating the concepts of security and integrity of data.

AB - Evolving concepts of smart cities include smart traffic lights and smart homes. These devices keep on observing the activities of users and share it with the cloud for further processing and decisions accordingly. This makes these systems complex ones. Therefore, a model-driven framework is needed which can integrate smart traffic lights with smart homes for the minimization of inherent development complexity. This article proposes a model driven framework, which integrates the smart traffic Fog nodes and smart homes. The basic objective is to share the mutual data related to traffic using cloud computing technology. To achieve this, a meta model is proposed. Subsequently, a Sirius based graphical modeling tool is developed which may be used to model the complex scenarios of smart lights and smart homes. A model to text transformation code is also written to automatically generate the target java code from the developed model. The validity of the proposed model has been demonstrated through a real world case study. In future, the proposed framework can be extended by incorporating the concepts of security and integrity of data.

KW - n/a OA procedure

KW - Fog nodes

KW - Meta-Model

KW - Smart City

KW - Smart Homes

KW - Smart Traffic Light

KW - Smart Vehicles

KW - Cloud Computing

UR - https://www.scopus.com/pages/publications/85126769527

U2 - 10.1109/ICCIT52419.2022.9711644

DO - 10.1109/ICCIT52419.2022.9711644

M3 - Conference contribution

AN - SCOPUS:85126769527

SN - 978-1-6654-1175-2

T3 - Proceedings of the International Conference on Computing and Information Technology

SP - 104

EP - 109

BT - Proceedings of the 2nd International Conference on Computing and Information Technology, ICCIT 2022

PB - IEEE

T2 - 2nd International Conference on Computing and Information Technology, ICCIT 2022

Y2 - 25 January 2022 through 27 January 2022

ER -

Alotaibi SS, Rashid M, Azam F, Abbas W, Rasheed Y, Sinky MH et al. Integration of Smart Traffic Fog Nodes and Homes through a Model Driven Approach. In Proceedings of the 2nd International Conference on Computing and Information Technology, ICCIT 2022. IEEE. 2022. p. 104-109. (Proceedings of the International Conference on Computing and Information Technology). doi: 10.1109/ICCIT52419.2022.9711644

Integration of Smart Traffic Fog Nodes and Homes through a Model Driven Approach

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this