IoT-Based Local Setup for Interfacing Resource Constrained Devices: A Survey
Yashovardhan Bapat, Shreya Aiyer, Akhil A Binu, Chandra Shekar R K, Shubhangi K. Gawali, Lucy J. Gudino, Neena Goveas · 2023
The Internet of Things (IoT) is described as a network of physical objects, also called things. Sensors, software, and other communication technologies are embedded in these things. These objects or things connect over the Internet to exchange data with other devices and systems. IoT devices have grown more than four-fold from 3.4 billion in 2015 to 14.4 billion in 2022. Most of these devices are, however, directly connected to the cloud. This, combined with the sharp rise in the number of IoT connections, is increasing the latency and cost of using the cloud, which is problematic. This can be overcome using Edge computing setups with edge nodes consisting of microcomputers. These systems are now being studied for optimizing the offloading of tasks to the Edge and cloud layers. These systems also have computing and latency limitations that must be considered for a successful implementation. With less than 1% of data that is generated from the sensors being utilized, there is a need for a solution that can be used for an analysis of the data internally while enabling latency-sensitive applications. In this work, we study an IoT model with a local server-based system that can enable latency-sensitive calculations; this server, in turn, can then interact with a cloud-based system for services that are not time-sensitive. This scalable model can reduce the cost of Cloud and Internet usage and provide time-sensitive services.