Data Management for the Internet of Things: Design Primitives and Solution
The Internet of Things IoT is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers UIDs and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. The definition of the Internet of things has evolved due to the convergence of multiple technologies, real-time analytics , machine learning , commodity sensors , and embedded systems. In the consumer market, IoT technology is most synonymous with products pertaining to the concept of the "smart home", covering devices and appliances such as lighting fixtures, thermostats , home security systems and cameras, and other home appliances that support one or more common ecosystems, and can be controlled via devices associated with that ecosystem, such as smartphones and smart speakers. There are a number of serious concerns about dangers in the growth of IoT, especially in the areas of privacy and security ; and consequently industry and governmental moves to begin to address these. The concept of a network of smart devices was discussed as early as , with a modified Coke vending machine at Carnegie Mellon University becoming the first Internet-connected appliance,  able to report its inventory and whether newly loaded drinks were cold or not.
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.
The Internet of things is the inter-networking of physical devices, vehicles, buildings, and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. IoT allows objects to be sensed or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine M2M communications and covers a variety of protocols, domains, and applications. Currencies Rs. My Account. Orders Comparison list Wish list Track my order s.
Internet of Things: Principles and Paradigms captures the state-of-the-art research in Internet of Things, its applications, architectures, and technologies.
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