%0 Conference Proceedings
%T Data Management Mechanisms for Internet of Things: A position paper
%+ Université Assane SECK de Ziguinchor (UASZ)
%+ Lab-STICC_ENSTAB_ CACS_MOCS
%A Diallo, Ousmane
%A Dhaussy, Philippe
%A Teodorov, Ciprian
%< avec comité de lecture
%B CSCI 2019
%C Las Vegas, United States
%Y IEEE Computer Society
%3 6th Annual Conference on Computational Science and Computational Intelligence
%P 61
%8 2019-12-05
%D 2019
%R 10.1109/CSCI49370.2019
%K Data management
%K Internet of Things
%K IoT data types
%K Key challenges
%Z Computer Science [cs]/Databases [cs.DB]
%Z Computer Science [cs]/Hardware Architecture [cs.AR]
%Z Computer Science [cs]/Data Structures and Algorithms [cs.DS]Conference papers
%X Internet of Things (IoT) is a network where several and various interconnected, smart objects continuously generate alarge amount of data transmitted over Internet. Several efforts and research works in IoT focused on hardware constraints, lowcost, application design, as well as good communication technologies. However, due to the intrinsic characteristics of diversity,heterogeneity, large-scale, dynamic and large volume of data generated and various IoT applications needs, using traditionaldatabase management mechanisms and analytics architectures is not generally suitable. Then, it is challenging to provideefficient IoT data storage and query processing mechanisms for satisfying IoT application needs. This paper identifies the mainspecifications and mechanisms of data and query management for IoT and classifies them. Moreover, this work presentsadvances on data and query management mechanisms on IoT, shows their advantages and limits and discusses the challengingopen research issues that need to be addressed for providing guidelines for further contributions.
%G English
%L hal-02515160
%U https://hal.science/hal-02515160
%~ UNIV-BREST
%~ INSTITUT-TELECOM
%~ ENSTA-BRETAGNE
%~ CNRS
%~ UNIV-UBS
%~ ENSTA-BRETAGNE-STIC
%~ ENIB
%~ LAB-STICC
%~ INSTITUTS-TELECOM
%~ SILECS
%~ FIT