Two-level dynamic programming-enabled non-metric data aggregation technique for the Internet of Things

Jan, Syed, Ghaleb, Baraq, Tariq, Umair Ullah, Ali, Haider, Sabrina, Fariza and Liu, Lu (2024) Two-level dynamic programming-enabled non-metric data aggregation technique for the Internet of Things. Electronics, 13 (9). ISSN 2079-9292

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The Internet of Things (IoT) has become a transformative technological infrastructure, serving as a benchmark for automating and standardizing various activities across different domains to reduce human effort, especially in hazardous environments. In these networks, devices with embedded sensors capture valuable information about activities and report it to the nearest server. Although IoT networks are exceptionally useful in solving real-life problems, managing duplicate data values, often captured by neighboring devices, remains a challenging issue. Despite various methodologies reported in the literature to minimize the occurrence of duplicate data, it continues to be an open research problem. This paper presents a sophisticated data aggregation approach designed to minimize the ratio of duplicate data values in the refined set with the least possible information loss in IoT networks. First, at the device level, a local data aggregation process filters out outliers and duplicates data before transmission. Second, at the server level, a dynamic programming-based non-metric method identifies the longest common subsequence (LCS) among data from neighboring devices, which is then shared with the edge module. Simulation results confirm the approach’s exceptional performance in optimizing the bandwidth, energy consumption, and response time while maintaining high accuracy and precision, thus significantly reducing overall network congestion.

Item Type: Article
Uncontrolled Keywords: Internet of Things, data aggregation, longest common subsequence, QoS, accuracy
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Health & Science > Department of Science & Technology
SWORD Depositor: Pub Router
Depositing User: Pub Router
Date Deposited: 08 May 2024 10:14
Last Modified: 08 May 2024 10:14

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