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• W4285179218 abstract "In the modern era, the Internet of Things (IoT) plays a vital role in connecting physical objects to the Internet. Therefore, an IoT technology can monitor and control any physical object from remote locations. In IoT-based systems, Wireless Sensor Network (WSN) is used to monitor a large number of heterogeneous physical objects. The IoT-enabled WSNs suffer from congestion problems that significantly reduce the network lifetime and performance of the network. This paper present a green hybrid congestion control mechanism for IoT-enabled WSNs. It uses an unequal clustering mechanism which saves the energy of battery-limited sensor nodes and resolves energy hole issues. Furthermore, a novel two-class priority-based congestion avoidance mechanism is proposed which significantly reduces communication delay. Extensive simulations and real-life experiments are performed to demonstrate the effectiveness of the proposed scheme. Experimental result shows that the proposed scheme outperforms the state-of-the-art algorithms in terms of network lifetime, successful packet delivery, average throughput, and other parameters. Furthermore, the proposed scheme is also tested in a real testbed that demonstrates its effectiveness for disaster management in smart city applications." @default.
• W4285179218 created "2022-07-14" @default.
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• W4285179218 date "2022-12-01" @default.
• W4285179218 modified "2023-10-02" @default.
• W4285179218 title "A Green Hybrid Congestion Management Scheme for IoT-Enabled WSNs" @default.
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• W4285179218 doi "https://doi.org/10.1109/tgcn.2022.3179388" @default.
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