Edge computing and next generation wireless networks: A synergistic approach for efficient sensor data processing
Abstract
The advent of next generation wireless networks, particularly 5G and the upcoming 6G technologies, has drastically altered the landscape of data processing and communication systems. One of the key advancements is the integration of edge computing with wireless networks to enhance the performance and efficiency of sensor networks. This paper explores the synergistic approach between edge computing and next generation wireless networks, specifically how this collaboration enables efficient sensor data processing for various Internet of Things (IoT) applications. With an emphasis on low latency communication, real time data processing, and improved scalability, the combined use of edge computing and wireless networks addresses challenges such as network congestion, latency, and power consumption in sensor driven systems. The paper also discusses the application of this integrated framework in sectors like healthcare, autonomous vehicles, and smart cities, while highlighting key challenges, solutions, and future research opportunities.
How to Cite This Article
Qudus Omotayo Ajiboye, Ifeanyi Kingsley Egbuna, Bello Abdur-Rafiu Adekunle, Samuel Obafisoye, Ebipade Ebimobowei Amasuomo (2025). Edge computing and next generation wireless networks: A synergistic approach for efficient sensor data processing . International Journal of Future Engineering Innovations (IJFEI), 2(3), 69-76. DOI: https://doi.org/10.54660/IJFEI.2025.2.3.69-76