Data Management Mechanisms for IoT: Architecture, Challenges and Solutions
Bassirou Diène, Ousmane Noël Diallo, Joel J. P. C. Rodrigues, El Hadji Malick Ndoye, Ciprian Teodorov · 2020 5th International Conference on Smart and Sustainable Technologies (SpliTech) · 2020
The current traditional database management mechanisms and analytics architectures are not generally suitable for addressing the intrinsic characteristics of diversity, heterogeneity, large-scale, dynamic and large amount of data generated by the Internet of Things (IoT) networks and various IoT applications needs. Then, it is challenging to provide efficient IoT data storage and query processing mechanisms for meeting the requirements of applications. This paper identifies the most relevant characteristics and mechanisms of IoT data management and categorizes them. Moreover, a new four layers fog-based architecture using the distributed approach is proposed for providing a secure storage infrastructure and efficient real-time IoT data discovering with better latency. Finally, this work shows advances on IoT data management mechanisms, highlights their advantages and limits, and discusses the challenging open research issues that need to be focused for providing guidelines for new contributions.