The Internet of Things (IoT) is a networking paradigm where interconnected, smart objects continuously generate data and transmit it over the Internet. Much of the IoT initiatives are geared towards manufacturing low-cost and energy-efficient hardware for these objects, as well as the communication technologies that provide objects interconnectivity. However, the solutions to manage and utilize the massive volume of data produced by these objects are yet to mature. Traditional database management solutions fall short in satisfying the sophisticated application needs of an IoT network that has a truly global-scale. Current solutions for IoT data management address partial aspects of the IoT environment with special focus on sensor networks. In this paper, we survey the data management solutions that are proposed for IoT or subsystems of the IoT. We highlight the distinctive design primitives that we believe should be addressed in an IoT data management solution, and discuss how they are approached by the proposed solutions. We finally propose a data management framework for IoT that takes into consideration the discussed design elements and acts as a seed to a comprehensive IoT data management solution. The framework we propose adapts a federated, data- and sources-centric approach to link the diverse Things with their abundance of data to the potential applications and services that are envisioned for IoT.
The technology pertaining to connecting objects together in the Internet of Things is already the focus of intensive research efforts. However, the mechanisms managing and utilizing the resulting significant volume of data from these objects has yet to match the maturity of the technology itself. The traditional approach of migrating raw data to centralized points for data storage and analysis may incur debilitating communication and energy costs, which will negatively affect the environment in the future. In this paper, we will discuss the life cycle of data within the Internet of Things and survey the current research in the data management field for the In 1 ternet of Things. The discussion will focus on the research pertaining to the optimization of communication overhead and storage mechanisms as they have the most significant impact on energy consumption. We prove the need for further analysis and addressing of issues concerning "green" data management systems designs for the Internet of Things.
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