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Journal ArticleDOI

Smart Home: Cognitive Interactive People-Centric Internet of Things

01 Feb 2017-IEEE Communications Magazine (IEEE)-Vol. 55, Iss: 2, pp 34-39
TL;DR: This article proposes to integrate two entities, the Internet of Things and a cognitive dynamic system (CDS), and studies a smart home scenario as the application of interest, and can significantly contribute to the interactive IoT ecosystem.
Abstract: This article proposes to integrate two entities, the Internet of Things and a cognitive dynamic system (CDS), and studies a smart home scenario as the application of interest. As a people-centric IoT, the smart home aims to enhance the intelligence level of the living environment and improve the quality of human life. Cognition, the distinct principles of which are perception?action cycle, memory, attention, intelligence, and language, can play a key role to pave the way for building truly smart homes. With cognition as its foundation, the engineering paradigm of CDS provides step-by-step guidelines for systematic development of smart homes. Hence, CDS can significantly contribute to the interactive IoT ecosystem.
Citations
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Journal ArticleDOI
TL;DR: In this article, a comprehensive survey of massive access design for B5G wireless networks is presented, from the perspectives of theory, protocols, techniques, coverage, energy, and security.
Abstract: Massive access, also known as massive connectivity or massive machine-type communication (mMTC), is one of the main use cases of the fifth-generation (5G) and beyond 5G (B5G) wireless networks. A typical application of massive access is the cellular Internet of Things (IoT). Different from conventional human-type communication, massive access aims at realizing efficient and reliable communications for a massive number of IoT devices. Hence, the main characteristics of massive access include low power, massive connectivity, and broad coverage, which require new concepts, theories, and paradigms for the design of next-generation cellular networks. This paper presents a comprehensive survey of massive access design for B5G wireless networks. Specifically, we provide a detailed review of massive access from the perspectives of theory, protocols, techniques, coverage, energy, and security. Furthermore, several future research directions and challenges are identified.

311 citations

Journal ArticleDOI
TL;DR: A review of techniques based on IoT for healthcare and ambient-assisted living, defined as the Internet of Health Things (IoHT), based on the most recent publications and products available in the market from industry for this segment is presented.
Abstract: The Internet of Things (IoT) is one of the most promising technologies for the near future. Healthcare and well-being will receive great benefits with the evolution of this technology. This paper presents a review of techniques based on IoT for healthcare and ambient-assisted living, defined as the Internet of Health Things (IoHT), based on the most recent publications and products available in the market from industry for this segment. Also, this paper identifies the technological advances made so far, analyzing the challenges to be overcome and provides an approach of future trends. Through selected works, it is possible to notice that further studies are important to improve current techniques and that novel concept and technologies of IoHT are needed to overcome the identified challenges. The presented results aim to serve as a source of information for healthcare providers, researchers, technology specialists, and the general population to improve the IoHT.

289 citations


Cites background from "Smart Home: Cognitive Interactive P..."

  • ...smart home [5], industry automation [6], smart grid [7], among others [8]....

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Journal ArticleDOI
TL;DR: It is argued that semi-supervision is a must for smart cities to address the phenomenon of wasting unlabeled data, and a three-level learning framework is proposed that matches the hierarchical nature of big data generated by smart cities with a goal of providing different levels of knowledge abstraction.
Abstract: The development of smart cities and their fast-paced deployment is resulting in the generation of large quantities of data at unprecedented rates Unfortunately, most of the generated data is wasted without extracting potentially useful information and knowledge because of the lack of established mechanisms and standards that benefit from the availability of such data Moreover, the highly dynamic nature of smart cities calls for a new generation of machine learning approaches that are flexible and adaptable to cope with the dynamicity of data to perform analytics and learn from real-time data In this article, we shed light on the challenge of underutilizing the big data generated by smart cities from a machine learning perspective In particular, we present the phenomenon of wasting unlabeled data We argue that semi-supervision is a must for smart cities to address this challenge We also propose a three-level learning framework for smart cities that matches the hierarchical nature of big data generated by smart cities with a goal of providing different levels of knowledge abstraction The proposed framework is scalable to meet the needs of smart city services Fundamentally, the framework benefits from semi-supervised deep reinforcement learning where a small amount of data that has users' feedback serves as labeled data, while a larger amount without such users' feedback serves as unlabeled data The framework utilizes a mix of labeled and unlabeled data to converge toward better control policies instead of wasting the unlabeled data This article also explores how deep reinforcement learning and its shift toward semi-supervision can handle the cognitive side of smart city services and improve their performance by providing several use cases spanning the different domains of smart cities We also highlight several challenges as well as promising future research directions for incorporating machine learning and high-level intelligence into smart city services

221 citations


Cites background from "Smart Home: Cognitive Interactive P..."

  • ...Cognitive IoT [4] X Smart city Multiagent Learning Convenient smart home, Real-time traffic routing Cognitive interactive framework[5] X Smart home Reinforcement Learning Convenient smart home...

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  • ...The authors in [5] defined a cognitive framework for smart homes based on cognitive dynamic systems and IoT....

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Journal ArticleDOI
TL;DR: A comprehensive literature review of key features and applications of the IoT paradigm to support sustainable development of smart cities is presented and an emphasis is placed on concomitance of the Internet of Things solutions with other enabling technologies such as cloud computing, robotics, micro-electromechanical systems, wireless communications, and radio-frequency identification.

205 citations

Journal ArticleDOI
TL;DR: A comparative analysis of existing simulation tools categorized based on the scope of coverage of the IoT architecture layers is presented, and existing large-scale IoT testbeds that have been adopted by researchers for examining the physical IoT prototypes are compared.
Abstract: The Internet of Things (IoT) vision is increasingly being realized to facilitate convenient and efficient human living. To conduct effective IoT research using the most appropriate tools and techniques, we discuss recent research trends in the IoT area along with current challenges faced by the IoT research community. Several existing and emerging IoT research areas such as lightweight energy-efficient protocol development, object cognition and intelligence, as well as the critical need for robust security and privacy mechanisms will continue to be significant fields of research for IoT. IoT research can be a challenging process spanning both virtual and physical domains through the use of simulators and testbeds to develop and validate the initial proof-of-concepts and subsequent prototypes. To support researchers in planning IoT research activities, we present a comparative analysis of existing simulation tools categorized based on the scope of coverage of the IoT architecture layers. We compare existing large-scale IoT testbeds that have been adopted by researchers for examining the physical IoT prototypes. Finally, we discuss several open challenges of current IoT simulators and testbeds that need to be addressed by the IoT research community to conduct large-scale, robust and effective IoT simulation, and prototype evaluations.

199 citations


Cites background from "Smart Home: Cognitive Interactive P..."

  • ...Smartness can also be realized by combining IoT with a cognitive dynamic system to further enhance current smart home applications using almost identical sensors and actuators [12]....

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References
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Journal ArticleDOI
TL;DR: An overview of the Internet of Things with emphasis on enabling technologies, protocols, and application issues, and some of the key IoT challenges presented in the recent literature are provided and a summary of related research work is provided.
Abstract: This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication technologies, and Internet protocols. The basic premise is to have smart sensors collaborate directly without human involvement to deliver a new class of applications. The current revolution in Internet, mobile, and machine-to-machine (M2M) technologies can be seen as the first phase of the IoT. In the coming years, the IoT is expected to bridge diverse technologies to enable new applications by connecting physical objects together in support of intelligent decision making. This paper starts by providing a horizontal overview of the IoT. Then, we give an overview of some technical details that pertain to the IoT enabling technologies, protocols, and applications. Compared to other survey papers in the field, our objective is to provide a more thorough summary of the most relevant protocols and application issues to enable researchers and application developers to get up to speed quickly on how the different protocols fit together to deliver desired functionalities without having to go through RFCs and the standards specifications. We also provide an overview of some of the key IoT challenges presented in the recent literature and provide a summary of related research work. Moreover, we explore the relation between the IoT and other emerging technologies including big data analytics and cloud and fog computing. We also present the need for better horizontal integration among IoT services. Finally, we present detailed service use-cases to illustrate how the different protocols presented in the paper fit together to deliver desired IoT services.

6,131 citations


"Smart Home: Cognitive Interactive P..." refers background in this paper

  • ...In both the literature and real life, there are various applications of IoT, which include transportation, healthcare, agriculture, smart homes, vehicles, schools, markets, and industry, to name a few [3]....

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Book
01 Jan 2010
TL;DR: Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together.
Abstract: For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Neural Networks and Learning Machines, Third Edition is renowned for its thoroughness and readability. This well-organized and completely upto-date text remains the most comprehensive treatment of neural networks from an engineering perspective. This is ideal for professional engineers and research scientists. Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/ Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.

4,943 citations


Additional excerpts

  • ...The Bayesian filter, which is the optimal recursive data-processing algorithm, serves as a general unifying framework for sequential state estimation [12]....

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Journal ArticleDOI
TL;DR: This paper will present and discuss the technical solutions and best-practice guidelines adopted in the Padova Smart City project, a proof-of-concept deployment of an IoT island in the city of Padova, Italy, performed in collaboration with the city municipality.
Abstract: The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. In this paper, we focus specifically to an urban IoT system that, while still being quite a broad category, are characterized by their specific application domain. Urban IoTs, in fact, are designed to support the Smart City vision, which aims at exploiting the most advanced communication technologies to support added-value services for the administration of the city and for the citizens. This paper hence provides a comprehensive survey of the enabling technologies, protocols, and architecture for an urban IoT. Furthermore, the paper will present and discuss the technical solutions and best-practice guidelines adopted in the Padova Smart City project, a proof-of-concept deployment of an IoT island in the city of Padova, Italy, performed in collaboration with the city municipality.

4,335 citations

Journal Article
TL;DR: This paper focuses specifically to an urban IoT systems that, while still being quite a broad category, are characterized by their specific application domain and are designed to support the Smart City vision.
Abstract: The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. In this paper we focus specifically to an urban IoT systems that, while still being quite a broad category, are characterized by their specific application domain. Urban IoTs, in fact, are designed to support the Smart City vision, which aims at exploiting the most advanced communication technologies to support added-value services for the administration of the city and for the citizens.

1,606 citations


"Smart Home: Cognitive Interactive P..." refers background in this paper

  • ...In this article, we focus our main attention on the particular scenario of interactive IoT implemented in a household, which is commonly referred to as a “smart home” or “home automation” [4]....

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Ovidiu Vermesan1, Peter Friess
30 Jun 2013
TL;DR: The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level.
Abstract: The book aims to provide a broad overview of various topics of the Internet of Things (IoT) from the research and development priorities to enabling technologies, architecture, security, privacy, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC ? Internet of Things European Research Cluster from technology to international cooperation and the global "state of play". The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level.

767 citations


"Smart Home: Cognitive Interactive P..." refers background in this paper

  • ...The Internet of Things (IoT) is envisioned as a network that allows everyone and everyday objects to be connected anytime and anyplace [1]....

    [...]