| dc.description.abstract |
The usage of 5G-enabled IoT devices is rising exponentially as humans tend to shift towards a more automated lifestyle. A significant amount of IoT devices is expected to join the network as IoT has allowed interconnection and transmission among global devices which has resulted in generation of enormous diverse data. There is a requirement for a real-time, latency-specific, and network efficient computing paradigm in 5G-enabled smart city infrastructure. Fog computing presents trustworthy solutions to tackle these issues by combining edge users. They store, control, communicate, configure, measure, and manage big data produced by IoT devices. In this survey, the authors have performed a comprehensive study on fog computing and have classified various such paradigms. The authors have performed an extensive evaluation of features, along with the algorithmic and architectural packages deployed in the framework. This survey covers various 5G-enabled Industrial IoT (I-IoT) application settings and unleashes various fog framework-based solutions for numerous real-world application challenges in sustainable smart city infrastructures. Numerous contributions of fog computing towards latency-sensitive applications like healthcare 4.0, smart conveyance, smart waste management, smart energy handling, etc. has also been discussed. Fog computing framework apart from the abilities, also inherits various security flaws from cloud computing paradigm, and these flaws needs to be rectified in the interest of the end user. This survey presents a comprehensive review of state-of-the-art literature schemes to preserve the integrity of data in sustainable smart city infrastructure. Diverse phrases employed for investigating numerous security and privacy concerns in 5G enabled technologies are discussed in a sophisticated approach. |
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