The Internet of Things (IoT) is defined as a paradigm in which objects equipped with sensors, actuators, and processors communicate with each other to serve a meaningful purpose. In this paper, we survey state-of-the-art methods, protocols, and applications in this new emerging area. This survey paper proposes a novel taxonomy for IoT technologies, highlights some of the most important technologies, and profiles some applications that have the potential to make a striking difference in human life, especially for the differently abled and the elderly. As compared to similar survey papers in the area, this paper is far more comprehensive in its coverage and exhaustively covers most major technologies spanning from sensors to applications.

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Internet of Things: Architectures, Protocols, and Applications

The paper presents a survey and analysis on the current status and concerns of Internet of things (IoT) security. The IoT framework aspires to connect anyone with anything at anywhere. IoT typically has a three layers architecture consisting of Perception, Network, and Application layers. A number of security principles should be enforced at each layer to achieve a secure IoT realization. The future of IoT framework can only be ensured if the security issues associated with it are addressed and resolved. Many researchers have attempted to address the security concerns specific to IoT layers and devices by implementing corresponding countermeasures. This paper presents an overview of security principles, technological and security challenges, proposed countermeasures, and the future directions for securing the IoT.

Internet of things (IoT) security: Current status, challenges and prospective measures

A review of smart home applications based on Internet of Things

Big Data and virtualization for manufacturing cyber-physical systems

Traditional power grids are being transformed into smart grids (SGs) to address the issues in the existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability, and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution, and utilization systems. SGs employ various devices for the monitoring, analysis, and control of the grid, deployed at power plants, distribution centers, and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation, and the tracking of such devices. This is achieved with the help of the Internet of Things (IoT). The IoT helps SG systems to support various network functions throughout the generation, transmission, distribution, and consumption of energy by incorporating the IoT devices (such as sensors, actuators, and smart meters), as well as by providing the connectivity, automation, and tracking for such devices. In this paper, we provide a comprehensive survey on the IoT-aided SG systems, which includes the existing architectures, applications, and prototypes of the IoT-aided SG systems. This survey also highlights the open issues, challenges, and future research directions for the IoT-aided SG systems.

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Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Currently, a large number of smart objects and different types of devices are interconnected and communicate via Internet Protocol that creates a worldwide ubiquitous and pervasive network called the Internet of Things (IoT). With an increase in the deployment of smart objects, IoT is expected to have a significant impact on human life in the near future. A majorbreakthrough in bridging the gap between virtual and physical worlds came from the vision of the Web of Things (WoT), which employs open Web standards in achieving information sharing and objects interoperability. Social Web of Things (SWoT) further extends WoT to integrate smart objects with social networks and is observed to not only bridge between physical and virtual worlds but also facilitate continued interaction between physical devices and human. This makes SWoT the most promising approach and has now become an active research area.This survey introduces necessary background and fundamentals to understand current efforts in IoT, WoT and SWoT by reviewing key enabling technologies. These efforts are investigated in detail from several different perspectives such as architecture design, middleware, platform, systems implementation, and application in hand. Moreover, a large number of platforms and applications are analyzed and evaluated from various alternatives have become popular during the past decade. Finally, we address associated challenges and highlight potential research to be perused in future.

Choices for interaction with things on Internet and underlying issues

Technological revolution in communication and embedded computing has led to the Internet of Things (IoT) where all objects are connected together to provide users with services. Nowadays, many third party service providers are providing a large number of IoT services. Suggesting suitable services to IoT users based on objects they own has not been tackled yet. In this paper, we investigate the possibilities of leveraging recommendation algorithms, especially graph-based, to IoT. We propose a graph-based model for IoT systems and conduct experiment in which analyze and explore correlations between performances of different algorithms. We show that the graph-based recommendation algorithm can be used to develop an effective recommender system for the IoT. Moreover, we show that some algorithms perform reasonably well and produce high quality results.

Testing and evaluating recommendation algorithms in internet of things

Internet of Things (IoT) is the next wave of industry revolution that generates significant amount of various services, such as personal health care and green energy monitoring, which people may subscribe for their convenience. These services may have different features, such as fixed or mobile, scalable or non-scalable, portable or non-portable. Thus, recommending IoT services to users based on objects they own will become very important for the success of IoT. In this preliminary work, we introduce the concept of service recommender systems in IoT by a formal model for IoT recommendation. We propose a graph-based recommender system that takes into account the unique structure of IoT.

Toward service recommendation in Internet of Things

Internet of Things (IoT) is the next wave of industry revolution that will initiate many services, such as personal health care and green energy monitoring, which people may subscribe for their convenience. Recommending IoT services to the users based on objects they own will become very crucial for the success of IoT. In this work, we introduce the concept of service recommender systems in IoT by a formal model. As a first attempt in this direction, we have proposed a hyper-graph model for IoT recommender system in which each hyper-edge connects users, objects, and services. Next, we studied the usefulness of traditional recommendation schemes and their hybrid approaches on IoT service recommendation (IoTSRS) based on existing well known metrics. The preliminary results show that existing approaches perform reasonably well but further extension is required for IoTSRS. Several challenges were discussed to point out the direction of future development in IoTSR.

Performance evaluation of recommendation algorithms on Internet of Things services

Social Web of Thing (SWoT) has been considered a great platform for future App development because it integrates IoT and Social Networks (SN) and makes human readily monitor and manage smart objects. This work discusses technical options and various requirements of SWoT and presents a scalable and flexible Multimedia-supported SWoT platform called MUL-SWoT. MUL-SWoT provides easy integration of smart objects and 3rd party service providers. It can handle multimedia data and provide novel IoT-based service recommendation to users. Finally, to understand MUL-SWoT, we describe how an intrusion detection service is built on the MUL-SWoT platform.

Tein-Yaw Chung

Papers

Choices for interaction with things on Internet and underlying issues

Testing and evaluating recommendation algorithms in internet of things

Toward service recommendation in Internet of Things

Performance evaluation of recommendation algorithms on Internet of Things services

MUL-SWoT: A Social Web of Things Platform for Internet of Things Application Development