A survey on subjecting electronic product code and non-ID objects to IP identification

Over the last decade, both research on the Internet of Things (IoT) and real-world IoT applications have grown exponentially. The IoT provides us with smarter cities, intelligent homes, and generally more comfortable lives. However, the introduction of these devices has led to several new challenges that must be addressed. One of the critical challenges facing interacting with IoT devices is to address billions of devices (things) around the world, including computers, tablets, smartphones, wearable devices, sensors, and embedded computers, and so on. This article provides a survey on subjecting Electronic Product Code and non-ID objects to IP identification for IoT devices, including their advantages and disadvantages thereof. Different metrics are here proposed and used for evaluating these methods. In particular, the main methods are evaluated in terms of their: (i) computational overhead, (ii) scalability, (iii) adaptability, (iv) implementation cost, and (v) whether applicable to already ID-based objects and presented in tabular format. Finally, the article proves that this field of research will still be ongoing, but any new technique must favorably offer the mentioned five evaluative parameters.Comment: 112 references, 8 figures, 6 tables, Journal of Engineering Reports, Wiley, 2020 (Open Access

Federated Embedded Systems – a review of the literature in related fields

This report is concerned with the vision of smart interconnected objects, a vision that has attracted much attention lately. In this paper, embedded, interconnected, open, and heterogeneous control systems are in focus, formally referred to as Federated Embedded Systems. To place FES into a context, a review of some related research directions is presented. This review includes such concepts as systems of systems, cyber-physical systems, ubiquitous computing, internet of things, and multi-agent systems. Interestingly, the reviewed fields seem to overlap with each other in an increasing number of ways

Tell the Smart House to Mind its Own Business!: Maintaining Privacy and Security in the Era of Smart Devices

Consumers want convenience. That convenience often comes in the form of everyday smart devices that connect to the internet and assist with daily tasks. With the advancement of technology and the “Internet of Things” in recent years, convenience is at our fingertips more than ever before. Not only do consumers want convenience, they want to trust that their product is performing the task that they purchased it for and not exposing them to danger or risk. However, due to the increasing capabilities and capacities of smart devices, consumers are less likely to realize the implications of what they are agreeing to when they purchase and begin using these products. This Note will focus on the risks associated with smart devices, using smart home devices as an illustration. These devices have the ability to collect intimate details about the layout of the home and about those who live within it. The mere collection of this personal data opens consumers up to the risk of having their private information shared with unintended recipients whether the information is being sold to a third party or accessible to a hacker. Thus, to adequately protect consumers, it is imperative that they can fully consent to their data being collected, retained, and potentially distributed. This Note examines the law that is currently in place to protect consumers who use smart devices and argues that a void ultimately leaves consumers vulnerable. Current data privacy protection in the United States centers on the self-regulatory regime of “notice and choice.” This Note highlights how the self-regulatory notice-and-choice model fails to ensure sufficient protection for consumers who use smart devices and discusses the need for greater privacy protection in the era of the emerging Internet of Things. Ultimately, this Note proposes a state-level resolution and calls upon an exemplar state to experiment with privacy protection laws to determine the best way to regulate the Internet of Things

Recent advances in industrial wireless sensor networks towards efficient management in IoT

With the accelerated development of Internet-of- Things (IoT), wireless sensor networks (WSN) are gaining importance in the continued advancement of information and communication technologies, and have been connected and integrated with Internet in vast industrial applications. However, given the fact that most wireless sensor devices are resource constrained and operate on batteries, the communication overhead and power consumption are therefore important issues for wireless sensor networks design. In order to efficiently manage these wireless sensor devices in a unified manner, the industrial authorities should be able to provide a network infrastructure supporting various WSN applications and services that facilitate the management of sensor-equipped real-world entities. This paper presents an overview of industrial ecosystem, technical architecture, industrial device management standards and our latest research activity in developing a WSN management system. The key approach to enable efficient and reliable management of WSN within such an infrastructure is a cross layer design of lightweight and cloud-based RESTful web service