Abstract
The Internet of Things in 5G and next-generation data communication networks have relied heavily on Wireless Sensor Networks (WSNs). Data aggregation, Energy consumption, bandwidth utilization, and dynamic traffic routing play a significant role and impose challenges in achieving QoS in a sensor network. Therefore, it is crucial to concentrate on these factors in order to increase the network's lifetime and quality of service. The research's goal is to analyse IoT WSNs in terms of their architecture, framework, security, data aggregation, and routing techniques. In IoT WSNs, the data aggregation technique reduces the energy consumption of the network's nodes. This improves the network's energy and other QoS parameter's efficiency. The network layer hybrid data aggregation and routing protocol proposed in this study is new and efficient. In this work, a novel method for data aggregation based on anchor-based routing and matrix filling theory is proposed. It is suggested to use improved Anchor-based Routing protocol for Event Reporting (ARER), an anchor-based routing technique that includes dynamic clustering and constrained flooding. In order to achieve QoS in IoT WSN, the proposed hybrid network layer protocol has outperformed. The proposed protocol has performed better in terms of QoS metrics like throughput, end-to-end delay, routing overhead, packet delivery ratio, and energy consumption.
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15 May 2023
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Chandnani, N., Khairnar, C.N. A Novel Hybrid Protocol in Achieving QoS Regarding Data Aggregation and Dynamic Traffic Routing in IoT WSNs. Wireless Pers Commun 131, 295–335 (2023). https://doi.org/10.1007/s11277-023-10429-w
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DOI: https://doi.org/10.1007/s11277-023-10429-w