Optimizing IoT Device Networks with Edge Computing to Address Latency and Bandwidth Constraints
Naziya Hussain, Dankan Gowda V, Shyamsunder Chitta, Ved Srinivas, Ridhi Rani, M. Balaji · 2024
The enormous interconnected devices or the ‘Internet of Things' are one of the main concerns when it comes to dealing with the network latency and bandwidth. Regular cloud computing offerings are limited because of the relatively large latency and the high amount of bandwidth needed to send data to central points. This research study is focusing on the utilization of the edge computing for managing the challenges concerning the IoT device networks. Edge computing is a form of data processing that is done closer where the data is generated thus reducing latency issues and the bandwidth consumed in the system. The novel architecture that has been suggested entails utilization of edge devices where the processing tasks are offloaded from the cloud; descriptions of the simulations that have been run to analyze the proposed architecture as well as the result that show significant enhancement on the latency and bandwidth. The presented results reveal that edge computing can be used to improve the efficiency of the IoT network and its applicability across different domains.