Journal articles: 'Internet of things and services'

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Sadiku, Matthew N. O., Mahamadou Tembely, and Sarhan M. Musa. "Internet of Services." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 5 (June 2, 2018): 91. http://dx.doi.org/10.23956/ijarcsse.v8i5.678.

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The Internet of Things could be a short-lived phrase since it will soon become the Internet of Services (IoS). IoS is a major pillar of the future Internet because it presents everything on the Internet as a service. The Internet of Things (IoT) will become the enabler of IoS as we move into the service era. Different hardware configurations will enable different kind of services. This paper provides a brief introduction into the Internet of Service.

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Hizam, Sheikh Muhammad, and Waqas Ahmed. "A Conceptual Paper on SERVQUAL-Framework for Assessing Quality of Internet of Things (IoT) Services." International Journal of Financial Research 10, no. 5 (June 10, 2019): 387. http://dx.doi.org/10.5430/ijfr.v10n5p387.

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Service quality possesses the vital prominence in usability of innovative products and services. As Technological innovation has made the life synchronized and effective, Internet of Things (IoT) is matter of discussion everywhere. From users’ perspective, IoT services are always embraced by various system characteristics of security and performance. A service quality model can better present the preference of such technology customers. The study intends to project theoretical model of service quality for Internet of Things (IoT). Based on the existing models of service quality and the literature on internet of things, a framework is proposed to conceptualize and measure service quality for internet of things. This study establishes the IoT-SERVQUAL model with four dimensions (i.e., Privacy, Functionality, Efficiency and Tangibility) of multiple service quality models. These dimensions are essential and inclined towards the users’ leaning of IoT services. This paper contributes to research on internet of things services by the development of a comprehensive framework for customers’ quality apprehensions. This model will previse the expression of information secrecy concerns of users related with Internet of Things (IoT). This research will advance understanding of service quality in modern day technology and assist firms to devise the fruitful services structure.

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Chang, Victor, Verena Kantere, and Muthu Ramanchadran. "Emerging services for Internet of Things." Journal of Network and Computer Applications 89 (July 2017): 1–2. http://dx.doi.org/10.1016/j.jnca.2017.04.005.

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Yang, Sung-Byung, Kyung Young Lee, and Sunghun Chung. "Smart Services and Internet of Things." Asia Pacific Journal of Information Systems 29, no. 3 (September 30, 2019): 407–13. http://dx.doi.org/10.14329/apjis.2019.29.3.407.

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Younas, Muhammad, Irfan Awan, and Antonio Pescape. "Internet of Things and Cloud Services." Future Generation Computer Systems 56 (March 2016): 605–6. http://dx.doi.org/10.1016/j.future.2015.11.019.

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Gigli, Matthew, and Simon Koo. "Internet of Things: Services and Applications Categorization." Advances in Internet of Things 01, no. 02 (2011): 27–31. http://dx.doi.org/10.4236/ait.2011.12004.

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Wen, Zhenyu, Renyu Yang, Peter Garraghan, Tao Lin, Jie Xu, and Michael Rovatsos. "Fog Orchestration for Internet of Things Services." IEEE Internet Computing 21, no. 2 (March 2017): 16–24. http://dx.doi.org/10.1109/mic.2017.36.

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Genge, Béla, and Călin Enăchescu. "Non-Intrusive Historical Assessment of Internet-Facing Services in the Internet of Things." MACRo 2015 1, no. 1 (March 1, 2015): 25–36. http://dx.doi.org/10.1515/macro-2015-0003.

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AbstractThe expansion of Internet has led to a variety of directly accessible devices and services. Nowadays, companies tend to increase the number of Internetfacing services in order to ensure higher visibility, and accessibility towards end-users. Nonetheless, this profound expansion towards an “Internet of Things” brings new opportunities to malicious actors. As a result, novel cyber-physical attacks bring new challenges to systems administrators in order to accommodate traditional user requests with security prerequisites. Therefore, in this paper we propose a novel approach for historical Internet connectivity assessment of services. The technique uses the output of the popular Shodan search engine to infer the lifetime of different Internet-facing services. Experimental results conducted on IP address blocks attributed to six different institutions distributed across four sectors (university, telecommunications, banking, and power) show different possible service lifetime patterns.

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Gunawan, Teddy Surya, B. Herawan Hayadi, Cindy Paramitha, and Muhammad Sadikin. "IoT Framework Current Trends and Recent Advances to Management Company in The PT.TNC." JUDIMAS 1, no. 2 (March 31, 2021): 164. http://dx.doi.org/10.30700/jm.v1i2.1104.

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The Internet of Things (IoT) is a fast growing and user-friendly technology that connects everything together. And it can communicate effectively between the people who connect "Things." Internet of Things, also known as Internet of Objects, usually refers to remote systems between projects. Systems will be remote and self-designable. However, the world's largest information technology companies tend to release products in the form of services to avoid disclosing detailed design and implementation knowledge. Hence, the overall trend of academic institutions is to use these mainstream IoT platforms as "black boxes". IoT is something that is useful as a sensor, computer architecture, software, security, packaging, technology selection based on the amount of data, as far as data is needed, whatever power you have. Fundamental way to collect and store data Thing: SQL, noSQL, and time series databases Machine learning algorithms with outputs: regression, classification, anomaly detection. Improve service quality, reduce service costs New models (precision services), Reduce consumption costs of higher quality products or services, Improve health and safety.

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Jara, Antonio J., Socrates Varakliotis, Antonio F. Skarmeta, and Peter Kirstein. "Extending the Internet of Things to the Future Internet Through IPv6 Support." Mobile Information Systems 10, no. 1 (2014): 3–17. http://dx.doi.org/10.1155/2014/831974.

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Emerging Internet of Things (IoT)/Machine-to-Machine (M2M) systems require a transparent access to information and services through a seamless integration into the Future Internet. This integration exploits infrastructure and services found on the Internet by the IoT. On the one hand, the so-called Web of Things aims for direct Web connectivity by pushing its technology down to devices and smart things. On the other hand, the current and Future Internet offer stable, scalable, extensive, and tested protocols for node and service discovery, mobility, security, and auto-configuration, which are also required for the IoT. In order to integrate the IoT into the Internet, this work adapts, extends, and bridges using IPv6 the existing IoT building blocks (such as solutions from IEEE 802.15.4, BT-LE, RFID) while maintaining backwards compatibility with legacy networked embedded systems from building and industrial automation. Specifically, this work presents an extended Internet stack with a set of adaptation layers from non-IP towards the IPv6-based network layer in order to enable homogeneous access for applications and services.

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Georgakopoulos, Dimitrios, and Prem Prakash Jayaraman. "Internet of things: from internet scale sensing to smart services." Computing 98, no. 10 (August 8, 2016): 1041–58. http://dx.doi.org/10.1007/s00607-016-0510-0.

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Xu, De Gang, Lei Hua Qin, and Jing Li Zhou. "Internet of Things: Security-Based Application Level Lookup Protocol." Applied Mechanics and Materials 411-414 (September 2013): 625–28. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.625.

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In the emerging Internet of Things (IOT), lookup service or discovery service plays a critical role, however, current lookup services and discovery services of IoT have not been widely adopted due to some drawbacks or bottlenecks, as well as the item-level lookup service is still missing, moreover, enhancing security and privacy protection does not get enough attention. Therefore, based on the object discovery service architecture (ODSA) a distributed serial number level object discovery service architecture using Chord for the IOT, a security-based application level lookup protocol was provided to enhance the overall security and privacy protection for ODSA. Additionally, some analysis and discussion were given to validate and evaluate our solution. The results show that our solution is available.

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Cirillo, Flavio, Fang-Jing Wu, Gürkan Solmaz, and Ernö Kovacs. "Embracing the Future Internet of Things." Sensors 19, no. 2 (January 16, 2019): 351. http://dx.doi.org/10.3390/s19020351.

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All of the objects in the real world are envisioned to be connected and/or represented, through an infrastructure layer, in the virtual world of the Internet, becoming Things with status information. Services are then using the available data from this Internet-of-Things (IoT) for various social and economical benefits which explain its extreme broad usage in very heterogeneous fields. Domain administrations of diverse areas of application developed and deployed their own IoT systems and services following disparate standards and architecture approaches that created a fragmentation of things, infrastructures and services in vertical IoT silos. Coordination and cooperation among IoT systems are the keys to build “smarter” IoT services boosting the benefits magnitude. This article analyses the technical trends of the future IoT world based on the current limitations of the IoT systems and the capability requirements. We propose a hyper-connected IoT framework in which “things” are connected to multiple interdependent services and describe how this framework enables the development of future applications. Moreover, we discuss the major limitations in today’s IoT and highlight the required capabilities in the future. We illustrate this global vision with the help of two concrete instances of the hyper-connected IoT in smart cities and autonomous driving scenarios. Finally, we analyse the trends in the number of connected “things” and point out open issues and future challenges. The proposed hyper-connected IoT framework is meant to scale the benefits of IoT from local to global.

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Li, Da Hui. "Research on the Key Technology in Data Transmission Based on the Control System of Internet of Things." Advanced Materials Research 998-999 (July 2014): 1374–77. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1374.

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This article introduces the services and development of the Internet of Things, and analyzes the driving forces and obstacles behind such development. Looking at application types and the different development stages of the Internet of Things, this article categorizes its services into four types: identity related services, information aggregation services, collaborative-aware services, and ubiquitous services. For the first two types of services, applications and system framework are discussed; for the last two types, development trends are discussed. Services provided by the Internet of Things will gradually be integrated into human life and society; with the development of the Internet of Things, applications will evolve from relatively simple identity-related and information aggregation-related applications, to collaboratively-aware and finally ubiquitous applications. It will then be possible for the Internet of Things to be fully integrated with Internet and telecommunications networks

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Aldabbas, Omar Subhi. "Sensing as a Service for the Internet of Things." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 4, no. 3 (October 26, 2016): 28. http://dx.doi.org/10.3991/ijes.v4i3.6087.

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Internet of Things (IoT) is a ubiquitous embedded ecosystem known for its capability to perform common application functions through coordinating resources, which are distributed on-object or on-network domains. As new applications evolve, the challenge is in the analysis and usage of multimodal data streamed by diverse kinds of sensors. This paper presents a new service-centric approach for data collection and retrieval. This approach considers objects as highly decentralized, composite and cost effective services. Such services can be constructed from objects located within close geographical proximity to retrieve spatio-temporal events from the gathered sensor data. To achieve this, we advocate Coordination languages and models to fuse multimodal, heterogeneous services through interfacing with every service to achieve the network objective according to the data they gather and analyze. In this paper we give an application scenario that illustrates the implementation of the coordination models to provision successful collaboration among IoT objects to retrieve information. The proposed solution reduced the communication delay before service composition by up to 43% and improved the target detection accuracy by up to 70%, while maintaining energy consumption 20% lower than its best rivals in the literature.

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Xiao, Zheng Rong, Bang Guo Lv, Xin Wang, and You Jun Zhao. "A Healthcare Service System Based on Internet of Things." Advanced Materials Research 774-776 (September 2013): 1903–7. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1903.

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With the development of networking technology and cloud computing technology, low-cost, high level of general practitioners of public health services and basic health service support, as well as the effective supervision of the centralized management and control of public health and primary health care can be achieved. A health cloud service system based on Internet of Things is provided, which is divided into six modules. The system can be used to subordinate all hospitals and medical institutions to provide hospital management and health of residents file management application services using a mobile terminal to collect community and clinical health data entry, upload the community, the region's public medical health data.

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Sahu, Deblu, Bikash Pradhan, Anwesha Khasnobish, Sarika Verma, Doman Kim, and Kunal Pal. "The Internet of Things in Geriatric Healthcare." Journal of Healthcare Engineering 2021 (July 17, 2021): 1–16. http://dx.doi.org/10.1155/2021/6611366.

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There is a significant increase in the geriatric population across the globe. With the increase in the number of geriatric people and their associated health issues, the need for larger healthcare resources is inevitable. Because of this, healthcare service-providing industries are facing a severe challenge. However, technological advancement in recent years has enabled researchers to develop intelligent devices to deal with the scarcity of healthcare resources. In this regard, the Internet of things (IoT) technology has been a boon for healthcare services industries. It not only allows the monitoring of the health parameters of geriatric patients from a remote location but also lets them live an independent life in a cost-efficient way. The current paper provides up-to-date comprehensive knowledge of IoT-based technologies for geriatric healthcare applications. The study also discusses the current trends, issues, challenges, and future scope of research in the area of geriatric healthcare using IoT technology. Information provided in this paper will be helpful to develop futuristic solutions and provide efficient cost-effective healthcare services to the needy.

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Khan, Zulfiqar Ali, Israr Ullah, Muhammad Ibrahim, Muhammad Fayaz, Ayman Aljarbouh, and Muhammad Shuaib Qureshi. "Virtualization Based Efficient Service Matching and Discovery in Internet of Things." Electronics 9, no. 6 (June 16, 2020): 1007. http://dx.doi.org/10.3390/electronics9061007.

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Internet of Things (IoT) is getting more popular day by day, which triggers its adoption for solving domain specific problems. Cities are becoming smart by gathering the context knowledge through sensors and controlling specific parameters through actuators. Dynamically discovering and integrating different data streams from different sensors is a major challenge these days. In this paper, a service matchmaking algorithm is presented for service discovery utilizing IoT devices and services in a particular geographic area. It helps us to identify services based on a variety of parameters (location, query size and processing time, etc.). Customization of service selection and discovery are also explored. The conceptual framework is provided for the proposed model along with a matchmaking algorithm based on IoT devices virtualization. The simulation results elaborate the increased complexity of processing time with respect to the increasing pool of available services. The average processing time varies as the number of conditions are multiplied. Query size and complexity increases with additional number of filters and conditions which results in the reduction of the number of matching services. Moreover, upon decreasing the radius of geographic search area, the number of candidate services decreases for service matching algorithm. This is based on the assumption that IoT devices and services are evenly distributed in a given geographic area. Similarly, the remaining energy of IoT devices is also assumed to be uniformly distributed and, therefore, if we are interested in IoT devices or services with more residual energy, then a limited number of IoT devices or services will fulfill this criterion.

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Chen, Chi-Hua, and Kuen-Rong Lo. "Applications of Internet of Things." ISPRS International Journal of Geo-Information 7, no. 9 (August 22, 2018): 334. http://dx.doi.org/10.3390/ijgi7090334.

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This editorial introduces the special issue entitled “Applications of Internet of Things”, of ISPRS International Journal of Geo-Information. Topics covered in this issue include three main parts: (I) intelligent transportation systems (ITS), (II) location-based services (LBS), and (III) sensing techniques and applications. Three papers on ITS are as follows: (1) “Vehicle positioning and speed estimation based on cellular network signals for urban roads,” by Lai and Kuo; (2) “A method for traffic congestion clustering judgment based on grey relational analysis,” by Zhang et al.; and (3) “Smartphone-based pedestrian’s avoidance behavior recognition towards opportunistic road anomaly detection,” by Ishikawa and Fujinami. Three papers on LBS are as follows: (1) “A high-efficiency method of mobile positioning based on commercial vehicle operation data,” by Chen et al.; (2) “Efficient location privacy-preserving k-anonymity method based on the credible chain,” by Wang et al.; and (3) “Proximity-based asynchronous messaging platform for location-based Internet of things service,” by gon Jo et al. Two papers on sensing techniques and applications are as follows: (1) “Detection of electronic anklet wearers’ groupings throughout telematics monitoring,” by Machado et al.; and (2) “Camera coverage estimation based on multistage grid subdivision,” by Wang et al.

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Wójcik, Magdalena. "Internet of Things – potential for libraries." Library Hi Tech 34, no. 2 (June 20, 2016): 404–20. http://dx.doi.org/10.1108/lht-10-2015-0100.

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Purpose – The purpose of this paper is to subject the potential of Internet of Things (IoT) technology for libraries in terms of the possible scope and usage forms of this technology in public and academic library services. Design/methodology/approach – Based on analysis of the subject literature, the main areas of IoT applications in commercial institutions were identified, then an analysis of Library and Information Science English-language literature from the years 2010 to 2015 was conducted in order to create a profile of modern library services. The range of activities of commercial and non-commercial institutions were compared to ascertain if areas in which commercial entities using or planning to use IoT could also be an inspiration for libraries. In this way, a theoretical model of IoT use in library activities was developed. Findings – The research showed that IoT technology might have the potential to be used in library services and other activities, similar to how it is implemented in the commercial sector. Research limitations/implications – The aim of the paper is to determine the possible, not the actual, scope and forms of using this technology in public and academic libraries’ services. Practical implications – The results can be widely used in libraries as an inspiration for the use of IoT technology in modern library services. Social implications – The use of new technologies in libraries can help to improve the image of these institutions in the eyes of users, especially the younger generation. Originality/value – The use of IoT in libraries is a new issue that has not been studied much yet. The issue of using the potential of this technology for the needs of libraries has, in recent years, been raised at international conferences, become a subject of interest to librarian associations, and been widely discussed in the blogosphere, thus proving that this topic is important to practitioners. It is difficult, however, to find any scientific, comprehensive studies of this topic.

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Yu, Jaehak, Hyo-Chan Bang, Hosung Lee, and Yang Sun Lee. "Adaptive Internet of Things and Web of Things convergence platform for Internet of reality services." Journal of Supercomputing 72, no. 1 (August 5, 2015): 84–102. http://dx.doi.org/10.1007/s11227-015-1489-6.

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Yin, Xiangdong, and Jie Yang. "Shortest Paths Based Web Service Selection in Internet of Things." Journal of Sensors 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/958350.

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The connecting of things to the Internet makes it possible for smart things to access all kinds of Web services. However, smart things are energy-limited, and suitable selection of Web services will consume less resources. In this paper, we study the problem of selecting some Web service from the candidate set. We formulate this selection of Web services for smart things as single-source many-target shortest path problem. We design algorithms based on the Dijkstra and breadth-first search algorithms, propose an efficient pruning algorithm for breadth-first search, and analyze their performance of number of iterations andI/Ocost. Our empirical evaluation on real-life graphs shows that our pruning algorithm is more efficient than the breadth-first search algorithm.

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Shinde, Gitanjali Rahul, and Henning Olesen. "Beacon-Based Cluster Framework for Internet of People, Things, and Services (IoPTS)." International Journal of Ambient Computing and Intelligence 9, no. 4 (October 2018): 15–33. http://dx.doi.org/10.4018/ijaci.2018100102.

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Internet of Things (IoT) applications can offer a great potential of benefits to end users. We are moving towards an Internet of People, Things and Services (IoPTS) and a future world of ambient intelligence, where users can seamlessly interact with IoT devices and get information about the services they offer. Interaction can take place directly or through dedicated mobile apps that are built to acquire data from sensors or clusters of IoT devices. The article presents a user-centric cluster framework, taking into account the resource-constrained nature of the IoT devices. As part of the framework, the authors propose a Mobility Aware Clustering Scheme (MACS), which organizes the IoT devices in clusters using a fitness function for each node, and a Profile Aware Proactive Cluster Discovery (PAPCD) mechanism using Bluetooth Low Energy (BLE) beacons for service advertisement. The authors also propose an IoT service filtering and ranking algorithm to match the users' preferences and requirements

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Simoens, Pieter, Mauro Dragone, and Alessandro Saffiotti. "The Internet of Robotic Things." International Journal of Advanced Robotic Systems 15, no. 1 (January 1, 2018): 172988141875942. http://dx.doi.org/10.1177/1729881418759424.

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The Internet of Robotic Things is an emerging vision that brings together pervasive sensors and objects with robotic and autonomous systems. This survey examines how the merger of robotic and Internet of Things technologies will advance the abilities of both the current Internet of Things and the current robotic systems, thus enabling the creation of new, potentially disruptive services. We discuss some of the new technological challenges created by this merger and conclude that a truly holistic view is needed but currently lacking.

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Tran-Dang, Hoa, and Dong-Seong Kim. "An Information Framework for Internet of Things Services in Physical Internet." IEEE Access 6 (2018): 43967–77. http://dx.doi.org/10.1109/access.2018.2864310.

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NWE, Nwe Htay Win, Jian-min BAO, and Gang CUI. "Flexible user-centric service selection algorithm for Internet of Things services." Journal of China Universities of Posts and Telecommunications 21 (July 2014): 64–70. http://dx.doi.org/10.1016/s1005-8885(14)60510-0.

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CHANDER, ANUPAM. "The Internet of Things: Both Goods and Services." World Trade Review 18, S1 (March 26, 2019): S9—S22. http://dx.doi.org/10.1017/s1474745619000089.

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AbstractInternational trade law, organized around the goods-services dichotomy, is about to meet the Internet of Things (IoT). How will rules written for the world of 1994 fare in a world of talking teapots and connected cars? IoT will especially raise governmental concerns with respect to privacy, security, and standards. Indeed, governments have already begun taking adverse measures against foreign IoT suppliers based not on the hardware, but on the digital features of the products. This paper argues that IoT devices comprise both goods and services, therefore calling into application multiple WTO disciplines, with the specific agreements that are applicable dependent on the particular governmental measure subject to challenge.

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Anand, Sakshi, and Avinash Sharma. "Internet of Medical Things: Services, Applications and Technologies." Journal of Computational and Theoretical Nanoscience 16, no. 9 (September 1, 2019): 3995–98. http://dx.doi.org/10.1166/jctn.2019.8283.

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With constant evolution of technology, Internet of Things (IoT) is drawing much attention in recent years in various application domains from Wearables and Agriculture to Smart Cities, with Healthcare being one of the arenas. With Internet of Things in action, a new generation of healthcare is being introduced with assuring outlooks. This paper reviews the progress that has been made with the successful amalgamation of internet and healthcare department. Further this paper discusses various types of IoT based healthcare services and applications that have been introduced so far along with different prospects and scope of future research.

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Ranjan, Rajiv, Ching-Hsien Hsu, Lydia Y. Chen, and Dimitrios Georgakopoulos. "Holistic Technologies for Managing Internet of Things Services." IEEE Transactions on Services Computing 13, no. 4 (July 1, 2020): 597–601. http://dx.doi.org/10.1109/tsc.2020.3000844.

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Kumar, Deepak, Riccardo Paccagnella, Paul Murley, Eric Hennenfent, Joshua Mason, Adam Bates, and Michael Bailey. "Emerging Threats in Internet of Things Voice Services." IEEE Security & Privacy 17, no. 4 (July 2019): 18–24. http://dx.doi.org/10.1109/msec.2019.2910013.

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Xhafa, Fatos. "Special issue “Internet of Things (IoT)-based Services”." Computing 101, no. 7 (April 23, 2019): 725–27. http://dx.doi.org/10.1007/s00607-019-00719-2.

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Qi, Lianyong, Peiqiang Dai, Jiguo Yu, Zhili Zhou, and Yanwei Xu. "“Time–Location–Frequency”–aware Internet of things service selection based on historical records." International Journal of Distributed Sensor Networks 13, no. 1 (January 2017): 155014771668869. http://dx.doi.org/10.1177/1550147716688696.

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The advertised quality of an Internet of things service is not always trustable due to the exaggerated quality propagation and dynamic network environment. Therefore, it is more trustable to evaluate the Internet of things service quality based on the historical execution records of service. However, an Internet of things service often has multiple historical records whose invocation time and location are different, which makes it necessary to weigh each historical record of an identical Internet of things service. Besides, for different candidate Internet of things services, their invocation frequencies are often varied, which may also affect the final service selection decision of target user. In view of the above two challenges, a novel service selection approach “Time–Location–Frequency”–aware Service Selection Approach is put forward in this article. In Time–Location–Frequency–aware Service Selection Approach, we first weigh each historical record of an Internet of things service, based on its service invocation time and location; afterward, we weigh each candidate Internet of things service based on its invocation frequency; finally, with the derived two kinds of weights, we evaluate each candidate Internet of things service and return the quality-optimal one to the target user. At last, through a set of experiments deployed on a real service quality data set WS-DREAM, we validate the feasibility of our proposal.

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Kashyap, Neeti, Achanta C. Kumari, and Rita Chhikara. "Service Discovery and Selection in Internet of Things - A Review." Recent Patents on Engineering 14, no. 1 (June 21, 2020): 4–11. http://dx.doi.org/10.2174/1872212113666181211095048.

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The Internet of Things (IoT) is a novel technology that has opened doors to the new level of interaction between the things. This has resulted in an enhancement in the quality of life and optimized use of various resources. IoT uses various technologies related to networking, sensing, databases and artificial intelligence to enhance the lifestyle and makes business processes simpler. In the IoT based systems, the number of devices contributing to a particular application is very large, spreading to a large geographical area at various locations. The device can be considered as a resource used by a service in the application layer. IoT service is the most important entity. The real-world things generate data by perceiving the environment in large quantity and store it in the distributed databases or cloud databases. This manuscript analytically and statistically categorizes and analyze the current research techniques on the service discovery and selection in the IoT, published between 2010 and 2018. It finds that the discovery among a huge number of services requires fast, scalable and dynamic service discovery mechanism over the Internet. Once the services are discovered, the next step is to select the most appropriate service. This paper includes a comprehensive analysis of the discovery and selection of services in IoT. A patent related to service and discovery have been also discussed which would be beneficial in identifying the research gap to make the system more efficient.

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Lee, Aeri, and . "Study of an Authentication Methods for IoT Services." International Journal of Engineering & Technology 7, no. 3.34 (September 1, 2018): 602. http://dx.doi.org/10.14419/ijet.v7i3.34.19398.

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The Internet of Things refers to an intelligent technology and service in which information is mutually communicated between men and things and between things by connecting all things based on the Internet. Recently, as the connections accelerate among heterogeneous terminals, networks, and applications through the opening of IoT platforms, many technical and managerial security threats occur in the IoT environment. To deliver information accurately and securely in the IoT environment, it is getting very important to solve the problems of the safe authentication system. This study proposes an efficient authentication method for IoT services and analyzes its safety.

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Xu, De Gang, Lei Hua Qin, and Jing Li Zhou. "IDSA: Chord-Based Discovery Service Architecture for the Internet of Things." Advanced Materials Research 753-755 (August 2013): 2816–20. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2816.

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Nowadays, the item-level lookup is quickly becoming a key issue in many application scenarios of Internet of Things (IoT). However, as a critical role of IoT, current lookup services and discovery services rely on a centralized or a chain-style framework, thus have some drawbacks, which prevent them from being widely adopted, as well as the item-level lookup service is still missing. Therefore, based on Chord, we presented IDSAa distributed item-level discovery service architecture for IoT, gave its basic framework and some relevant mechanisms to make the lookup services more load-balanced, scalable, and efficient. Additionally, some tests and analysis were given to validate and evaluate our solution. The results show that our solution is available.

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Liang, Xiaoqi, Yonghui Dai, Hanjian Chen, and Shengqi Lu. "Construction of emotional intelligent service system for the aged based on Internet of things." Advances in Mechanical Engineering 11, no. 3 (March 2019): 168781401983379. http://dx.doi.org/10.1177/1687814019833799.

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With the acceleration of global aging, the service of the aged has been widely concerned by the whole society. The traditional service mode has been challenged, and it is difficult to meet the needs of the aged. In order to provide better services for the aged, the construction of emotional intelligent service based on Internet of things is proposed in this article. First, the framework is introduced, and the architecture of the whole system is given. Second, the key technologies of emotional intelligence and Internet of things are described, which mainly include affective computing and data collection of Internet of things. Third, the implementation of the software and hardware is given, and the core functional modules are analyzed. As a whole, there are two main contributions of this article. One is to give the framework of emotional intelligence service system for the aged based on Internet of things, and the other is to analyze the emotional state and the physical data of the aged so that the early-warning and intelligent services can be provided for them.

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Zhao, Shuai, Bo Cheng, Le Yu, Shou-lu Hou, Yang Zhang, and Jun-liang Chen. "Internet of Things Service Provisioning Platform for Cross-Application Cooperation." International Journal of Web Services Research 13, no. 1 (January 2016): 1–22. http://dx.doi.org/10.4018/ijwsr.2016010101.

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With the development of Internet of Things (IoT), large-scale of resources and applications atop them emerge. However, most of existing efforts are “silo” solutions, there is a tight-coupling between the device and the application. The paradigm for IoT and its corresponding infrastructure are required to move away from isolated solutions towards cooperative models. Recent works have focused on applying Service Oriented Architecture (SOA) to IoT service provisioning. Other than the traditional services of cyberspace which are oriented to a two-tuple problem domain, IoT services are faced with a three-tuple problem domain of user requirement, cyberspace and physical space. One challenge of existing works is lacking of efficient mechanism to on-demand provisioning the sensing information in a loosely-coupled, decentralized way and then dynamically coordinate the relevant services to rapidly respond to changes in the physical world. Another challenge is how to systematically and effectively access (plug) the heterogeneous devices without intrusive changing. This paper proposes a service provisioning platform which enables to access heterogeneous devices and expose device capabilities as light-weighted service, and presents an event-based message interaction mode to facilitate the asynchronous, on-demand sharing of sensing information in distributed, loosely-coupled IoT environment. It provides the basic infrastructure for IoT application pattern: inner-domain high-degree autonomy and inter-domain dynamic coordination. The practicability of platform is validated by experimental evaluations and a District Heating Control and Information System (DHCIS).

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Liang, Haihong. "Multiobjective Optimization Method of Coevolution to Intelligent Agricultural Dynamic Services under the Internet of Things Environment." Wireless Communications and Mobile Computing 2021 (April 11, 2021): 1–10. http://dx.doi.org/10.1155/2021/5585062.

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The agricultural Internet of Things system, with its large-scale, highly heterogeneous, and dynamic characteristics, brings certain difficulties to the provision of agricultural Internet of Things services. Considering the multiple requests of the agricultural Internet of Things at any random moment, which have the characteristics of multiple sources, multiple types, and uneven tasks, this paper establishes an optimization model for the minimum service cost and proposes a collaborative evolution to intelligent agricultural dynamic services under the Internet of Things environment multiobjective optimization method. First, according to the probability that the allele on the fragment to be vaccinated has appeared in the memory bank, use the detection strategy to judge whether the solution is illegal; secondly, compare the optimal individual with other values appearing on the gene locus, judge whether the optimal gene or fall into the local optimal, and inoculate with probability through simulated annealing; finally, the total service cost and service time were evaluated under the two service provision strategies and compared with the other three intelligent algorithms; the results confirmed the feasibility and effectiveness of the proposed algorithm. At the same time, the simulation results show that the proposed collaborative multiobjective optimization algorithm can achieve better performance.

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Chen, Yuanyi, Yanyun Tao, Zengwei Zheng, and Dan Chen. "Graph-based service recommendation in Social Internet of Things." International Journal of Distributed Sensor Networks 17, no. 4 (April 2021): 155014772110090. http://dx.doi.org/10.1177/15501477211009047.

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While it is well understood that the emerging Social Internet of Things offers the capability of effectively integrating and managing massive heterogeneous IoT objects, it also presents new challenges for suggesting useful objects with certain service for users due to complex relationships in Social Internet of Things, such as user’s object usage pattern and various social relationships among Social Internet of Things objects. In this study, we focus on the problem of service recommendation in Social Internet of Things, which is very important for many applications such as urban computing, smart cities, and health care. We propose a graph-based service recommendation framework by jointly considering social relationships of heterogeneous objects in Social Internet of Things and user’s preferences. More exactly, we learn user’s preference from his or her object usage events with a latent variable model. Then, we model users, objects, and their relationships with a knowledge graph and regard Social Internet of Things service recommendation as a knowledge graph completion problem, where the “like” property that connects users to services needs to be predicted. To demonstrate the utility of the proposed model, we have built a Social Internet of Things testbed to validate our approach and the experimental results demonstrate its feasibility and effectiveness.

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Ju, Hong Yao. "Research on the Framework of High Performance the Internet of Things Based on Multilevel Disaster Recovery." Advanced Materials Research 542-543 (June 2012): 462–68. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.462.

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The ability of disaster recovery and fast response is the key elements to measure the internet of things performance. With studying these technology, including load dispatching, composite gateway, cluster, data mirroring, and so on, round-robin dispatching, address mapping, load balancing cluster, and virtual private network technology are integrated. Thus, multilevel disaster recovery network, which is that business services and business processing system are processed independently, is built successfully. Therefore, distributed and synchronous data transmission of the internet of things and efficient access are solved. These targets of cross region disaster recovery of the internet of things and fast response of a large number of concurrent access are realized. The safety and continuity of the internet of things data service and application service are improved.

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Aziez, Meriem, Saber Benharzallah, and Hammadi Bennoui. "A full comparison study of service discovery approaches for internet of things." International Journal of Pervasive Computing and Communications 15, no. 1 (April 1, 2019): 30–56. http://dx.doi.org/10.1108/ijpcc-04-2019-0038.

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Purpose The purpose of this paper is to address the Internet of Things (IoT) service discovery problem and investigate the existing solutions to tackle this problem in many aspects. Design/methodology/approach This paper presents an overview of IoT services aiming at providing a clear understanding about their features because this term is still ambiguous for the IoT service discovery approaches. Besides, a full comparison study of the most representative service discovery approaches in the literature is presented over four perspectives: the IoT information model, the mechanism of IoT service discovery, the adopted architecture and the context awareness. These perspectives allow classifying, comparing and giving a deeper understanding of the existing IoT service discovery solutions. Findings This paper presents a new definition and a new classification of IoT services and citation of their features comparing with the traditional Web services. This paper discusses the existing solutions, as well as the main challenges, that face the service discovery issue in the IoT domain. Besides, two classifications of the approaches are adopted on the basis of their service description model and their mechanism of discovery, and a set of requirements that need to be considered when defining an IoT service are proposed. Originality/value There are few number works that survey the service discovery approaches in the IoT domain, but none of these surveys discuss the service description models in the IoT or the impact of the context awareness aspect in the service discovery solution. There are also few works that give a comprehensive overview of IoT services to understand their nature to facilitate their description and discovery. This paper fills this gap by performing a full comparison study of multi-category and recent approaches for service discovery in the IoT over many aspects and also by performing a comprehensive study of the IoT service features.

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Dr. S. Smys, Dr. Abul Basar, and Dr. Haoxiang Wang. "Hybrid Intrusion Detection System for Internet of Things (IoT)." December 2020 2, no. 4 (September 30, 2020): 190–99. http://dx.doi.org/10.36548/jismac.2020.4.002.

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Internet of things (IoT) is a promising solution to connect and access every device through internet. Every day the device count increases with large diversity in shape, size, usage and complexity. Since IoT drive the world and changes people lives with its wide range of services and applications. However, IoT provides numerous services through applications, it faces severe security issues and vulnerable to attacks such as sinkhole attack, eaves dropping, denial of service attacks, etc., Intrusion detection system is used to detect such attacks when the network security is breached. This research work proposed an intrusion detection system for IoT network and detect different types of attacks based on hybrid convolutional neural network model. Proposed model is suitable for wide range of IoT applications. Proposed research work is validated and compared with conventional machine learning and deep learning model. Experimental result demonstrate that proposed hybrid model is more sensitive to attacks in the IoT network.

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T., Senthil Kumar. "EFFICIENT RESOURCE ALLOCATION AND QOS ENHANCEMENTS OF IOT WITH FOG NETWORK." Journal of ISMAC 01, no. 02 (September 21, 2019): 21–30. http://dx.doi.org/10.36548/jismac.2019.2.003.

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The fog network that is the complementary for the cloud services, bring down the services of the cloud to its edge device with the easy and the early access of the information’s for the task that are time sensitive for the internet of things. The enormous big data flow through the internet of things from various tasks in the variety of application has paved way to seek the efficient ways of resource allocation of the tasks in the fog network. So efficient way of resources allocation entailed to enhances the quality of service for the internet of things and improve the network performance, is proposed in the paper. The efficient resource allocation with reduced energy consumption and maximum resources utilization in the fog network is performed for the information’s gained over the internet of things. The performance of the proposed method is validated using the network simulator to gain knowledge on the proficiency of the proposed method of resource allocation in the fog.

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Khudoyberdiev, Jin, and Kim. "A Novel Approach towards Resource Auto-Registration and Discovery of Embedded Systems Based on DNS." Electronics 8, no. 4 (April 17, 2019): 442. http://dx.doi.org/10.3390/electronics8040442.

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The Internet of Things (IoT) is expected to deliver a whole range of new services to all parts of our society, and improve the way we work and live. The challenges within the Internet of Things are often related to interoperability, device resource constraints, a device to device connection and security. One of the essential elements of identification for each Internet of Things devices is the naming system and addresses. With this naming system, Internet of Things devices can be able to be discoverable by users. In this paper, we propose the IoT resource auto-registration and accessing indoor services based on Domain Name System (DNS) in the Open Connectivity Foundation (OCF) environment. We have used the Internet of Things Platform and DNS server for IoT Resource auto-registration and discovery in the Internet Protocol version 4 (IPv4). An existing system called Domain Name Auto-Registration in Internet Protocol version 6 can be used for Internet of Things devices for auto-registration and resource discovery. However, this system is not acceptable in the existing internet networks, because the highest percentage of the networks on the Internet are configured in Internet Protocol version 4. Through the proposed auto-registration system, clients can be able to discover the resources and access the services in the OCF network. Constrained Application Protocol (CoAP) is utilized for the IoT device auto-registration and accessing the services in the OCF network.

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Et. al., Gurpreet Singh,. "Internet of Things (Iot): A Review." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 11, 2021): 521–26. http://dx.doi.org/10.17762/turcomat.v12i2.871.

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Nowadays highly cited types are interconnected over through the Internet. It can take control of and enable so many services from the mobile phones devices. You can arrange passes, banking, traffic controls, clear your dues, get municipal certificates etc. Because of the devices' complexity design, IoT have several issues such as information exchange and influence, big data, scalability, protection, interoperability. Numerous (sensing) devices in the network continue to maintain and send the information to the power area for planning and policy making. This paper helps you understand what IoT is, then what the main dilemmas.

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Srirama, Satish Narayana. "Mobile web and cloud services enabling Internet of Things." CSI Transactions on ICT 5, no. 1 (January 4, 2017): 109–17. http://dx.doi.org/10.1007/s40012-016-0139-3.

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Sun, Mengyu, Zhensheng Shi, Shengjun Chen, Zhangbing Zhou, and Yucong Duan. "Energy-Efficient Composition of Configurable Internet of Things Services." IEEE Access 5 (2017): 25609–22. http://dx.doi.org/10.1109/access.2017.2768544.

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Xu, Li Da, and Wattana Viriyasitavat. "Application of Blockchain in Collaborative Internet-of-Things Services." IEEE Transactions on Computational Social Systems 6, no. 6 (December 2019): 1295–305. http://dx.doi.org/10.1109/tcss.2019.2913165.

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Viriyasitavat, Wattana, Li Da Xu, Zhuming Bi, Danupol Hoonsopon, and Nuttirudee Charoenruk. "Managing QoS of Internet-of-Things Services Using Blockchain." IEEE Transactions on Computational Social Systems 6, no. 6 (December 2019): 1357–68. http://dx.doi.org/10.1109/tcss.2019.2919667.

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Fysarakis, Konstantinos, Damianos Mylonakis, Charalampos Manifavas, and Ioannis Papaefstathiou. "Node.DPWS: Efficient Web Services for the Internet of Things." IEEE Software 33, no. 3 (May 2016): 60–67. http://dx.doi.org/10.1109/ms.2015.155.

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Journal articles on the topic 'Internet of things and services'

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