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The Internet of Energy (IoE) transforms energy production, supply, and consumption to fulfill high energy demands via intelligent automation of industrial energy producers and consumers. This paper emphasizes the concept of the Io...
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The Internet of Energy (IoE) transforms energy production, supply, and consumption to fulfill high energy demands via intelligent automation of industrial energy producers and consumers. This paper emphasizes the concept of the IoE in the Industrial Internet of Things (IIoT) perspective in order to ensure productivity, control, reduced cost, real-time decision making and monitoring, customer satisfaction, and innovative experience. Further-more, industrial applications and requirements for optimizing performance, transmission, and consumption for efficient energy utilization and increased productivity have also been discussed. Industrial services, technologies, prerequisites, and application requirements are focused on outlining the architectural framework for achieving net-zero energy efficiency, applicability, and limitations. The taxonomy of communication layer protocols is discussed, compared, and evaluated in depth along with their limitations, to help with pre-technology implementations. Moreover, open challenges such as middleware, mobility, data integrity, and scalability are also discussed in depth with their potential solutions. (C) 2020 Elsevier Ltd. All rights reserved.
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In order to study the internet of things service platform based on semantic network, a service-oriented clustering labeling method is proposed, firstly, a semantic web service similarity computing method is proposed to solve the s...
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In order to study the internet of things service platform based on semantic network, a service-oriented clustering labeling method is proposed, firstly, a semantic web service similarity computing method is proposed to solve the shortcomings of the existing methods. This method describes the designed semantic web service annotation clustering algorithm based on AP algorithm. The distance matrix and related parameters of the algorithm are calculated and assigned according to the results of similarity calculation. The correctness of preference parameter selection will be compared and verified in the service discovery system. The greater the value of damping coefficient, the more iterations, and the slower the convergence rate. However, when the value of damping coefficient is 0.7, the number of iterations is moderate and the convergence rate is the best, which proves that this method has a better effect on service function matching.
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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...
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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 major breakthrough 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.
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The high penetration rate of new technologies in all the activities of everyday life is fostering the belief that for any new societal challenge there is always an ICT solution able to successfully deal with it. Recently, the solu...
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The high penetration rate of new technologies in all the activities of everyday life is fostering the belief that for any new societal challenge there is always an ICT solution able to successfully deal with it. Recently, the solution that is proposed almost anytime is the "Internet of Things" (loT). This apparent panacea of the ICT world takes different aspects on and, actually, is identified with different (often very different) technological solutions. As a result, many think that loT is just RFID5, others think that it is sensor networks, and yet others that it is machine-to-machine communications. In the meanwhile, industrial players are taking advantage of the popularity of loT to use it as a very trendy brand for technology sOlutions oriented to the consumer market. The scientific literature sometimes does not help much in clarifying, as it is rich in definitions of IoT often discordant between them.
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Recently, Internet of Things (IoT) technology has provided logistics services to many disciplines such as agriculture, industry, and medicine. Thus,it has become one of the most important scientific research fields. Applying IoT t...
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Recently, Internet of Things (IoT) technology has provided logistics services to many disciplines such as agriculture, industry, and medicine. Thus,it has become one of the most important scientific research fields. Applying IoT to military domain has many challenges such as fault tolerance and QoS.In this paper, IoT technology is applied on the military field to create an Internet of Military Things (IoMT) system. Here, the architecture of the afore-mentioned IoMT system is proposed. This architecture consists of four main layers: Communication,information, application, and decision support. These layers provided a fault tolerant coverage communication system for IoMT things. Moreover, it implemented data reduction methods such as filtering,compression, abstraction, and data prioritization queuing system to guarantee QoS for the transmitted data. Furthermore, it used decision support technol-ogy and IoMT application unification ideas. Finally, to evaluate the IoMT system, an intensive simulation environment is constructed using the network simulation package, NS3. The simulation results proved that the proposed IoMT system outperformed the traditional military system with regard to the performance metrics, packet loss, end-to-end delay, throughput, energy consumption ratio, and data reduction rate.
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Medical data has become an essential element for industrial healthcare. The growth in medical data is accompanied by the need to process it in a secure manner. As the infrastructure of this industry consists of connected devices a...
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Medical data has become an essential element for industrial healthcare. The growth in medical data is accompanied by the need to process it in a secure manner. As the infrastructure of this industry consists of connected devices and software applications that communicate with other IT systems, the industrial healthcare market will be greatly impacted by the use of blockchain and the Internet of Things (IoT). These technologies will improve processing efficiency, the creation of business opportunities, requirement regulation, information security, and transparency. While sharing electronic health records can assist in improving diagnosis accuracy, privacy and security preservation are imperative. In the network of IoT devices, that exchange involves sensitive medical data; patient monitoring has to be totally secured against privacy risks and attacks. Delays in treatment progress and emergency treatments could also result in medical data security and confidentiality violations.Applying blockchain technology to the healthcare industry could improve information security management; healthcare data could be analyzed and communicated while preserving the privacy and security of the data. Here we critically look at how these two key technologies (blockchain and IoT) - especially blockchain - will impact the healthcare industry.
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Internet of Things is the future era of computing, where every conventional object are equipped with sensing and communicating capabilities to co-ordinate with each other autonomously to achieve a common goal. Social Internet of T...
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Internet of Things is the future era of computing, where every conventional object are equipped with sensing and communicating capabilities to co-ordinate with each other autonomously to achieve a common goal. Social Internet of Things is the recent enhancement of Internet of Things where the communication between objects employs theories and observations from human social behavior with various types of relationships. The number of objects directly communicating with a device needs to be managed intelligently to cope with the memory and computational capacity of each object. Heuristic which are developed earlier uses graphical property of the device; this is the first work to the best of our knowledge to adopt the type of relationship in relationship management heuristic. An analysis is also presented after applying the heuristic in an Social Internet of Things environment.
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Internet of Things (IoT) connects different objects in the physical world to the Internet, and various Internet protocols are used to provide communication services to a large number of these embedded devices termed as smart devic...
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Internet of Things (IoT) connects different objects in the physical world to the Internet, and various Internet protocols are used to provide communication services to a large number of these embedded devices termed as smart devices. But, these devices are resource-constrained, low configured, and have very low power storage capacity, which depends on the services offered by the protocols. For the exchange of information to the end-users, smart devices communicate through an open channel, such as the Internet, which is not secure enough. Moreover, efficient delivery ratio, secure data forwarding are not achieved because of the enormous amount of data produced by these smart devices and the possibility of security threats. So there is a need to devise a secure and reliable data dissemination scheme for the IoT environment. Motivated from the these facts, this paper presents a systematic review and propose a solution taxonomy for secure data dissemination techniques for various smart IoT-based applications. This paper also includes a comparison of the state-of-the-art data dissemination techniques used for the Internet of Vehicles (IoVs), Internet of Drones (IoDs), and Internet of Battlefield Things (IoBTs) applications along with their merits and demerits. Finally, the research challenges and possible countermeasures are also discussed in detail, which gives insights to the beginners who want to start work in this emerging area.
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The progression of Internet of Things (IoT) has culminated from merely communicating objects towards smart objects. Furthermore, the widespread adoption of social networking is leading us into a new era of social objects. Under th...
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The progression of Internet of Things (IoT) has culminated from merely communicating objects towards smart objects. Furthermore, the widespread adoption of social networking is leading us into a new era of social objects. Under this vision, the idea of Social Internet of Things (SIoT) involving integration of social networking concepts into IoT was carved. Also, in the past few years application of IoT technologies into industry termed as Industrial Internet of Things (IIoT) has gained significant attention worldwide. This paper examines the major opportunities emerging from the introduction of novel concept of SIoT into manufacturing industry along with proposing reference architecture for the same. The proposed architecture is explored from a semantic point of view and an ontological model is designed. In addition, a novel approach for relationship management among manufacturing resources (assets) has been introduced. Further, to support the theoretical framework, a use case scenario and a simulation model for the performance management of an automated bottle filling industrial plant has been designed. The proposed model is certain to serve as a solid foundation for the future development of industrial IoT applications by researchers and developers. (C) 2019 Elsevier B.V. All rights reserved.
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Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively explo...
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Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms industry has been revolutionized by the concept of 5G networks. Since late 2018, researchers and telecom players have been actively exploring the potential of 6G as a successor to 5G. It is anticipated that the 6G generation would have even more severe performance criteria than the 5G generation had. New sophisticated technologies and paradigms must be included into 6G network designs and procedures to satisfy the requirements and standards of the sixth generation. As a result, several publications and studies covering the relevant technologies, techniques, algorithms, and architectures have appeared in the recent few years. The current paper fills a gap in the literature by offering informative recommendations for further study of 6G networks. Connectivity targets within 6G are outlined, and the study explains the wireless progression toward 6G networks. The technologies are outlined, as are the obstacles that must be surmounted. This chapter also provides a thorough and up-to -date overview of the state of the art. Additionally, multiple classifications of 6G capabilities and techniques are provided, with an emphasis on the advantages and disadvantages of each process. In order to accelerate the advancement of 6G technologies and fulfill their needs, we also identify open problems and potential future possibilities.
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