Opportunities of IoT in Fog Computing for High Fault Tolerance and Sustainable Energy Optimization

Abstract

Today, the importance of enhanced quality of service and energy optimization has promoted research into sensor applications such as pervasive health monitoring, distributed computing, etc. In general, the resulting sensor data are stored on the cloud server for future processing. For this purpose, recently, the use of fog computing from a real-world perspective has emerged, utilizing end-user nodes and neighboring edge devices to perform computation and communication. This paper aims to develop a quality-of-service-based energy optimization (QoS-EO) scheme for the wireless sensor environments deployed in fog computing. The fog nodes deployed in specific geographical areas cover the sensor activity performed in those areas. The logical situation of the entire system is informed by the fog nodes, as portrayed. The implemented techniques enable services in a fog-collaborated WSN environment. Thus, the proposed scheme performs quality-of-service placement and optimizes the network energy. The results show a maximum turnaround time of 8 ms, a minimum turnaround time of 1 ms, and an average turnaround time of 3 ms. The costs that were calculated indicate that as the number of iterations increases, the path cost value decreases, demonstrating the efficacy of the proposed technique. The CPU execution delay was reduced to a minimum of 0.06 s. In comparison, the proposed QoS-EO scheme has a lower network usage of 611,643.3 and a lower execution cost of 83,142.2. Thus, the results show the best cost estimation, reliability, and performance of data transfer in a short time, showing a high level of network availability, throughput, and performance guarantee.

Research Trends in the Use of the Internet of Things in Sustainability Practices: A Systematic Review

“…These terms are integrated because of the ongoing effort to reduce energy consumption in smart devices and sustainable spaces. However, due to the large amount of data exchanged and the potential distances and data sources involved, a data storage model outside the cloud and closer to the source may be beneficial for future network and wireless sensor architectures [1,13,73]. During the same time period, the terms 'smart farms', 'health care', and 'smart cities' emerged.…”

“…Furthermore, Reyana et al [13] demonstrated the potential of fog computing to enhance fault tolerance and energy efficiency in IoT systems. Their study highlights the role of cloud computing in creating sustainable and efficient IoT environments.…”

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

“…Verification and validation (V&V) techniques are crucial for ensuring the quality, reliability, and security of software systems in the context of IoT and cloud computing [82,83]. These systems involve a complex network of devices, sensors, and services that must work together seamlessly and securely [84].…”