Efficient Scheduling of Energy-Constrained Tasks in Internet of Things Edge Computing Networks

Efficient Scheduling Of Energy-Constrained Tasks In Internet Of Things Edge Computing Networks

Edge computing, a novel paradigm, leverages network-edge servers to perform user services (Xue et al., 2023; Bhatia, & Sood, 2023). Time-critical cloud or Internet of Things (IoT) applications may avoid network latency and backbone network traffic by deploying an edge server instead of a data center server. 5G's lower latency and higher bandwidth will make edge computing more significant. Mobile networks link additional devices to the internet.

Tens of billions of resource-limited devices like smartphones can connect to networks due to rising IoT adoption (Yang et al., 2024). Thus, fog node mobile devices are growing more popular and we cannot live without them. Large-scale networks, multitasking applications, and faster networking progress together. Smartphone apps include movie streaming, augmented reality, online gaming, and intelligent driving (Hu et al., 2024). Popular applications. These revolutionary applications need plenty of computer and communication resources for real-time processing and high data exchange rates owing to decreased latency. Physical restrictions limit mobile device resources. Designing these new apps for mobile devices is complex (Zhang et al., 2023). Task scheduling and execution have not been addressed in energy-efficient communication situations (Li et al., 2023; Wang et al., 2023). Scheduling and execution are crucial to fog computing.

Academics and businesspeople have explored task offloading for years. Mobile cloud computing offloads work since faraway cloud servers have plenty of processing and storage capacity. Mobile cloud computing is promising. Mobile cloud computing research has spanned a decade (Zhang et al., 2024; Cheng et al., 2023; Guo et al., 2018). These tests wirelessly unload computation-intensive activities from many mobile users. Although many cloud services have been commercialized, poor wireless connections, such as deep fading, sometimes cause packet loss and unacceptable wide area network latency between mobile devices and clouds. Despite the widespread use of cloud services, this remains true. Fog computing, a network-based task computation approach, is extensively virtualized (Sahni et al., 2018; Reiss-Mirzaei et al., 2023; Asgarian et al., 2024). Fog computing may provide a lot of computational, storage, and networking services (Wen et al., 2023). Fog networks' flexible pooling of processing and communication resources may increase mobile devices' energy efficiency. Given the rapid growth of 5G wireless communication technologies, homogeneous fog networks may deploy many cooperating smart devices (Chen et al., 2023; Ghosh & De, 2023; Singh et al., 2024).