Review of Edge Computing for the Internet of Things (EC-IoT): Techniques, Challenges and Future Directions

Abstract

The volume of edge data has reached ZB level, placing enormous strain on the core network bandwidth due to the rapid development of contemporary technology and the quick expansion of the number of smart devices accessing wireless networks under IoT. On the other hand, numerous new applications, such as autonomous vehicles, location recognition, augmented and virtual reality, etc., have proposed stricter standards for network latency, jitter, data security, etc. Edge computing (EC) emerged as a response to the shortcomings of traditional cloud computing in these areas. Edge computing is a new computing paradigm that performs computation at the network’s edge and can meet the critical needs of various industries undergoing digital transformation thanks to its ability to provide intelligent interconnection services in close proximity to the edge. It follows in the footsteps of previous computing paradigms such as distributed computing, grid computing, and cloud computing. This article presents a thorough analysis of current findings and accomplishments in the field of edge computing, as well as a prediction of potential directions for its future growth.