Open Access

ARTICLE

Smart-City-based Data Fusion Algorithm for Internet of Things

Jawad Khan¹, Muhammad Amir Khan², N. Z. Jhanjhi^3,*, Mamoona Humayun⁴, Abdullah Alourani⁵

1 Department of Computer Science, IIC University of Technology, Phnom Penh, Cambodia
2 Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, 22060, Pakistan
3 School of Computer Science and Engineering, SCE, Taylor's University, Subang Jaya, Selangor, Malaysia
4 Department of Information Systems, College of Computer and Information Sciences, Jouf University, al-Jouf, KSA
5 Department of Computer Science and Information, College of Science in Zulfi, Majmaah University, Al-Majmaah, 11952, Saudi Arabia

* Corresponding Author: N. Z. Jhanjhi. Email:

Computers, Materials & Continua 2022, 73(2), 2407-2421. https://doi.org/10.32604/cmc.2022.026693

Received 01 January 2022; Accepted 23 March 2022; Issue published 16 June 2022

Abstract

Increasingly, Wireless Sensor Networks (WSNs) are contributing enormous amounts of data. Since the recent deployments of wireless sensor networks in Smart City infrastructures, significant volumes of data have been produced every day in several domains ranging from the environment to the healthcare system to transportation. Using wireless sensor nodes, a Smart City environment may now be shown for the benefit of residents. The Smart City delivers intelligent infrastructure and a stimulating environment to citizens of the Smart Society, including the elderly and others. Weak, Quality of Service (QoS) and poor data performance are common problems in WSNs, caused by the data fusion method, where a small amount of bad data can significantly impact the total fusion outcome. In our proposed research, a WSN multi-sensor data fusion technique employing fuzzy logic for event detection. Using the new proposed Algorithm, sensor nodes will collect less repeated data, and redundant data will be used to increase the data's overall reliability. The network's fusion delay problem is investigated, and a minimum fusion delay approach is provided based on the nodes’ fusion waiting time. The proposed algorithm performs well in fusion, according to the results of the experiment. As a result of these discoveries, It is concluded that the algorithm describe here is effective and dependable instrument with a wide range of applications.

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Keywords

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