Priority Queueing Model-Based IoT Middleware for Load Balancing

The Internet of Things (IoT) is a technology that extends the reach of the Internet to items in the real world, encompassing both living and non-living objects. The Internet serves as a platform for linking people and computers. Things are real-world items such as automobiles, schools, animals, heart rate monitors, and other household equipment, amongst many more examples. Since the previous several decades, scientists have been working on developing devices, networks, and protocols that may be used to monitor, control, and track real-world objects and events. Sensors, actuators, and Radio Frequency Identification Devices (RFID) are the devices that are employed for these reasons, and they are collectively referred to as IoT devices in this thesis. Wireless sensor and actuator networks (WSAN), machine-to-machine networks, and other networks established with the help of these devices are examples of networks built with the help of these devices. Communication between machines (M2M), SCADA, and RFID tracking system, among other things. The collaborative load balancing across fog nodes is proposed in this work, and the load balancing approach is used to disperse the load.

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