A Comprehensive Survey on Emerging Trends in Networking and Communication : From IoT to Edge Computing
DOI:
https://doi.org/10.62951/ijcts.v2i1.137Keywords:
IoT, Edge Computing, Smart Cities, Healthcare IoT, ScalabilityAbstract
The advancement of networking and communication technologies has escalated the IoT and edge computing integration by leaps and bounds. This paper provides a review of the current trends, technologies and issues concerning IoT and edge computing. Looking at the key application areas of smart cities, healthcare, industrial IoT and smart grids this paper demonstrates how edge computing solves the problems of cloud computing such as latency, bandwidth and privacy. The survey also reveals present day constraints such as the lack of standards for scalability, integration problems, and lack of strong data protection measures. This work can be considered as a reference source for researchers and practitioners since it reveals the relationship between IoT and edge computing and gives an idea of further advancements.
References
Bajaj, K., Sharma, B., & Singh, R. (2022). Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor-generated big data. Complex & Intelligent Systems, 8(5), 3641–3658. https://doi.org/10.1007/s40747-021-00434-6
Habak, K., Ammar, M., Harras, K. A., & Zegura, E. (2015). Femto clouds: Leveraging mobile devices to provide cloud service at the edge. In 2015 IEEE 8th International Conference on Cloud Computing (pp. 9–16). IEEE. https://doi.org/10.1109/CLOUD.2015.12
Le, K.-H., Le-Minh, K.-H., & Thai, H.-T. (2023). BrainyEdge: An AI-enabled framework for IoT edge computing. ICT Express, 9(2), 211–221. https://doi.org/10.1016/j.icte.2021.12.007
Lv, Z., Chen, D., Lou, R., & Wang, Q. (2021). Intelligent edge computing based on machine learning for smart city. Future Generation Computer Systems, 115, 90–99. https://doi.org/10.1016/j.future.2020.08.037
Mehmood, M. Y., Oad, A., Abrar, M., Munir, H. M., Hasan, S. F., & Muqeet, H. A. (2021). Edge computing for IoT-enabled smart grid. Security and Communication Networks, 2021, Article 5524025. https://doi.org/10.1155/2021/5524025
Oueida, S., Kotb, Y., Aloqaily, M., Jararweh, Y., & Baker, T. (2018). An edge computing-based smart healthcare framework for resource management. Sensors, 18(12), 4307. https://doi.org/10.3390/s18124307
Pan, J., Ma, L., Ravindran, R., & TalebiFard, P. (2016). HomeCloud: An edge cloud framework and testbed for new application delivery. In 2016 23rd International Conference on Telecommunications (ICT) (pp. 1–6). IEEE. https://doi.org/10.1109/ICT.2016.7500391
Ryden, M., Oh, K., Chandra, A., & Weissman, J. B. (2014). Nebula: Distributed edge cloud for data-intensive computing. In 2014 IEEE International Conference on Cloud Engineering (IC2E) (pp. 57–66). IEEE. https://doi.org/10.1109/IC2E.2014.13
Satyanarayanan, M., Bahl, P., Cáceres, R., & Davies, N. (2009). The case for VM-based cloudlets in mobile computing. IEEE Pervasive Computing, 8(4), 14–23. https://doi.org/10.1109/MPRV.2009.64
Shahbazi, Z., & Byun, Y.-C. (2021). Improving transactional data system based on an edge computing–blockchain–machine learning integrated framework. Processes, 9(1), 92. https://doi.org/10.3390/pr9010092
Sittón-Candanedo, I., Alonso, R. S., García, Ó., Muñoz, L., & Rodríguez-González, S. (2019). Edge computing, IoT, and social computing in smart energy scenarios. Sensors, 19(15), 3353. https://doi.org/10.3390/s19153353
Tripathy, S. S., et al. (2023). A novel edge-computing-based framework for an intelligent smart healthcare system in smart cities. Sustainability, 15(1), 735. https://doi.org/10.3390/su15010735
Truong, H.-L. (2021). Using IoTCloudSamples as a software framework for simulations of edge computing scenarios. Internet of Things, 14, 100383. https://doi.org/10.1016/j.iot.2021.100383
Wang, B., Li, M., Jin, X., & Guo, C. (2020). A reliable IoT edge computing trust management mechanism for smart cities. IEEE Access, 8, 46373–46399. https://doi.org/10.1109/ACCESS.2020.2979022
Zhang, H., Zhang, Z., Zhang, L., Yang, Y., Kang, Q., & Sun, D. (2019). Object tracking for a smart city using IoT and edge computing. Sensors, 19(9), 1987. https://doi.org/10.3390/s19091987
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