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Articles de revues sur le sujet « Internet of Things (IoT) sensing »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Li-Ling Hung, Li-Ling Hung. "Intelligent Sensing for Internet of Things Systems." 網際網路技術學刊 23, no. 1 (2022): 187–93. http://dx.doi.org/10.53106/160792642022012301019.

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<p>The Internet of things (IoT) has been used for many applications. These applications are accomplished by numerous sensors that detect and share information. When people use the detected information in an IoT system to improve the performance of services, also called the intelligence of the system, this type of IoT is named artificial intelligence of things. This paper proposes a model for improving the flexibility of sensors to enhance the intelligence of IoT. The model defines the quality levels of events and monitoring data for all types of monitoring. In the model, the data or even

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Khader, Ammar Abdul-Hamed, and Zozan Azeez Ayoub. "Cognitive Radio and Internet of Things." European Journal of Engineering and Technology Research 5, no. 8 (2020): 899–903. http://dx.doi.org/10.24018/ejeng.2020.5.8.2012.

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Cognitive Radio (CR) and Internet of Things (IoT) is an effective step into the smart technology world. Several frameworks are proposed to build CR and IoT. The phases of the interconnection between IoT and CR is; spectrum sensing, spectrum sharing, and spectrum management. This paper presents a survey of CR based IoT and mentions some previous works. It highlights with details the spectrum sensing stage for both narrowband and wideband.

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Khader, Ammar Abdul-Hamed, and Zozan Azeez Ayoub. "The Cognitive Radio and Internet of Things." European Journal of Engineering Research and Science 5, no. 8 (2020): 899–903. http://dx.doi.org/10.24018/ejers.2020.5.8.2012.

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Cognitive Radio (CR) and Internet of Things (IoT) is an effective step into the smart technology world. Several frameworks are proposed to build CR and IoT. The phases of the interconnection between IoT and CR is; spectrum sensing, spectrum sharing, and spectrum management. This paper presents a survey of CR based IoT and mentions some previous works. It highlights with details the spectrum sensing stage for both narrowband and wideband.

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Kumar, Sumit, and Zahid Raza. "Internet of Things." International Journal of Systems and Service-Oriented Engineering 7, no. 3 (2017): 32–52. http://dx.doi.org/10.4018/ijssoe.2017070103.

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Internet of Things (IoT) is a novel approach of connecting things/objects and thus transmitting information between various entities of the physical world or to the control centers where this information can be interpreted. IoT has been poised as the next evolution of internet promising to change our lives by involving a seamless access to people and devices in a ubiquitous way leading to a smart world. These devices, often referred to as smart items or intelligent things can be home appliances, healthcare devices, vehicles, buildings, factories and almost anything networked and fitted with se

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Hu, Peng, and Philippe Lamontagne. "Internet of Things Based Contact Tracing Systems." Sensors 21, no. 21 (2021): 7124. http://dx.doi.org/10.3390/s21217124.

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The COVID-19 pandemic has significantly threatened the health and well-being of humanity. Contact tracing (CT) as an important non-pharmaceutical intervention is essential to containing the spread of such an infectious disease. However, current CT solutions are fragmented with limited use of sensing and computing technologies in a scalable framework. These issues can be well addressed with the use of the Internet of Things (IoT) technologies. Therefore, we need to overview the principle, motivation, and architecture for a generic IoT-based CT system (IoT-CTS). A novel architecture for IoT-CTS

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Curry, Joshua, and Nick Harris. "Powering the Environmental Internet of Things." Sensors 19, no. 8 (2019): 1940. http://dx.doi.org/10.3390/s19081940.

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The Internet of Things (IoT) is a constantly-evolving area of research and touches almost every aspect of life in the modern world. As technology moves forward, it is becoming increasingly important for these IoT devices for environmental sensing to become self-powered to enable long-term operation. This paper provides an outlook on the current state-of-the-art in terms of energy harvesting for these low-power devices. An analytical approach is taken, first defining types of environments in which energy-harvesters operate, before exploring both well-known and novel energy harvesting techniques

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Sunilkumar, Malge, and Singh Pallavi. "Internet of Things IoT Security Perspective." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 1041–43. https://doi.org/10.31142/ijtsrd24010.

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In the past decade, internet of things IoT has been a focus of research. It makes more intelligent to core element of modern world such as hospitals, cities, organizations, and buildings. Usually, IoT has four major components including sensing, information processing, applications and services, heterogeneous access and additional components e.g. Security and privacy. In this paper, we are presenting security perspective from the perspective of layers that comprises IoT. In this we focus on the overview of IoT security perspective. Sunilkumar Malge | Pallavi Singh "Internet of Things (IoT

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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 (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

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Jadhav, Ajay, Sagar Khot, Sana Bagwan, and Vanmala Kadam. "Security Factors affecting Internet of Things." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 900–903. http://dx.doi.org/10.22214/ijraset.2022.48031.

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Abstract: Internet of things (IoT) is the following huge thing in the networking field. The vision of IoT is to connect day by day used gadgets that have the capacity of sensing and actuation to the internet. This can or may additionally or might not contain human. In this paper we are able to go through all of the demanding situations of IOT and mainly focus on IOT safety undertaking. IoT entails adding net connectivity to a system of interrelated computing gadgets, mechanical and digital machines, items, animals and/or people. Each "component" is furnished a completely unique identifier and

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Liu, Pu. "A Brief Research of the Internet of Things." Applied Mechanics and Materials 55-57 (May 2011): 1679–82. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1679.

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With the rapid development and extensive application of network technology, the concept of IOT (Internet of Things) is coming into view. Through information sensing device, according to the agreed protocol, IOT can connect anything to the Internet and to achieve the exchange of information and intelligence management. This paper elaborates the core technologies of the IOT, describes the application of IOT, analyzes the three major issues of IOT development constraints, and makes a few comments to promote the development of IOT.

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Waqar Azeem and Aftab Ahmad Malik. "Internet of Things: Architectural Components, Protocols and Its Implementation for Ubiquitous Environment." Lahore Garrison University Research Journal of Computer Science and Information Technology 3, no. 3 (2019): 51–55. http://dx.doi.org/10.54692/lgurjcsit.2019.030384.

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Ubiquitous data processing of the sensing nodes has revolutionized the development of electronic industries manufacturing. The concept of the Internet of Things (IoT) is the connectivity of distributed sensing and processing nodes from anywhere rather than fixed computing. For the Implementation of Ubiquitous smart environment, anything and everything can be converted to smart IO Things, and where things have sensing and processing abilities for automation and analysis of environmental processes. Sensors, actuators, embedded processing systems, networking gateways, and IoT Cloud Services are t

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Kim, Hyun-Woo, and Eun-Ha Song. "Behavior Detection Mechanism for Trust Sensor Data Using Deep Learning in the Internet of Things." Webology 19, no. 1 (2022): 4546–54. http://dx.doi.org/10.14704/web/v19i1/web19301.

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In this paper, we propose BDM-TSD(Behavior Detection Mechanism for Trust Sensing Data) to classify risk group and non-risk group for reliable sensor data identification in IoT environment with sensing function. BDM-TSD collects trust data such as sensing time, operation cycle, and type of sensing data of sensor devices connected to the IoT environment and artificial malicious data. The collected data performs network packet analysis and sensing data behavior analysis through the behavior of the sensor device that is subsequently operated through deep learning. Previously, research was conducte

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U. Harita, Ms, and K. V.DayaSagar. "A survey on secured internet of things architecture." International Journal of Engineering & Technology 7, no. 2.7 (2018): 274. http://dx.doi.org/10.14419/ijet.v7i2.7.10596.

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The Internet of Things (IoT) introduces an inventive and perceptive of a future Internet where users, computing systems, and everyday items owning sensing and actuating abilities cooperate with unique comfort and financial advantages. Many heterogeneous devices get connected and contribute to the IoT and are known as things.Internet of Things (IoT) enables these things to correspond, compute and make decisions on the network. In such a heterogeneous environment, every user of IoT will have a unique purpose to be served in the form of communication and computation. There is a threat that a mali

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Azrour, Mourade, Jamal Mabrouki, Azidine Guezzaz, and Ambrina Kanwal. "Internet of Things Security: Challenges and Key Issues." Security and Communication Networks 2021 (September 14, 2021): 1–11. http://dx.doi.org/10.1155/2021/5533843.

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Internet of Things (IoT) refers to a vast network that provides an interconnection between various objects and intelligent devices. The three important components of IoT are sensing, processing, and transmission of data. Nowadays, the new IoT technology is used in many different sectors, including the domestic, healthcare, telecommunications, environment, industry, construction, water management, and energy. IoT technology, involving the usage of embedded devices, differs from computers, laptops, and mobile devices. Due to exchanging personal data generated by sensors and the possibility of co

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Zhao, Jia Kui, Lian Shun Mu, Hong Ouyang, et al. "In-Network Time-Series Data Compression for Electric Internet of Things." Applied Mechanics and Materials 241-244 (December 2012): 3213–23. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.3213.

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The IoT is considered as one of the most important supporting technologies of the smart grid and the smart grid is considered as one of the most important application areas of the IoT. However, the electric IoT has vast amount and many kinds of sensors, very high data acquisition frequency, and a highly heterogeneous network, which lead to the challenge that if the raw time-series data gathered by sensors is all transmitted to the sensing data center via network and then compressed and reserved, the bandwidth and the computing resource requirements of the network and the sensing data center, r

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Alhasnawi, Bilal, Basil Jasim, and Bayadir Issa. "Internet of Things (IoT) for Smart Precision Agriculture." Iraqi Journal for Electrical and Electronic Engineering 16, no. 1 (2020): 1–11. http://dx.doi.org/10.37917/ijeee.16.1.4.

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The scarcity of clean water resources around the globe has generated a need for their optimum utilization. Internet of Things (IoT) solutions, based on the application-specific sensors’ data acquisition and intelligent processing, are bridging the gaps between the cyber and physical worlds. IoT based smart irrigation management systems can help in achieving optimum water-resource utilization in the precision farming landscape. This paper presents an open-source technology-based smart system to predict the irrigation requirements of a field using the sensing of ground parameters like soil moist

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Mammadov, M., Ye. Taghiyeva, A. Aliyeva, F. Abdullayeva, U. Safarova, and A. Seyidova. "ANALYSIS OF RESOURCE-CONSTRAINED IOT ENVIRONMENTS." Danish scientific journal, no. 70 (March 27, 2023): 92–95. https://doi.org/10.5281/zenodo.7789506.

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<strong>Abstract</strong> The Internet of Things (IoT) is a transformative approach that connects objects (things) of various natures with sensing, computing and communication capabilities. These objects are characterized by small size, less computing power, less memory and limited battery. This article first discusses the basic concepts of the Internet of Things and the hardware and software platforms needed to realize IoT environments.

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Čolaković, Alem, Adisa Hasković Džubur, and Bakir Karahodža. "Wireless communication technologies for the Internet of Things." Science, Engineering and Technology 1, no. 1 (2021): 1–14. http://dx.doi.org/10.54327/set2021/v1.i1.3.

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Internet of Things (IoT) is the inter-networking paradigm based on many processes such as identifying, sensing, networking and computation. An IoT technology stack provides seamless connectivity between various physical and virtual objects. The increasing number of IoT applications leads to the issue of transmitting, storing, and processing a large amount of data. Therefore, it is necessary to enable a system capable to handle the growing traffic requirements with the required level of QoS (Quality of Service). IoT devices become more complex due to the various components such as sensors and n

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Čolaković, Alem, Džubur Adisa Hasković, and Bakir Karahodža. "Wireless communication technologies for the Internet of Things." Science, Engineering and Technology 1, no. 1 (2022): 1–14. https://doi.org/10.5281/zenodo.7389796.

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Internet of Things (IoT) is the inter-networking paradigm based on many processes such as identifying, sensing, networking and computation. An IoT technology stack provides seamless connectivity between various physical and virtual objects. The increasing number of IoT applications leads to the issue of transmitting, storing, and processing a large amount of data. Therefore, it is necessary to enable a system capable to handle the growing traffic requirements with the required level of QoS (Quality of Service). IoT devices become more complex due to the various components such as sensors and n

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Čolaković, Alem, Džubur Adisa Hasković, and Bakir Karahodža. "Wireless communication technologies for the Internet of Things." Science, Engineering and Technology 1, no. 1 (2021): 1–14. https://doi.org/10.54327/set2021/v1.i1.3.

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<strong>Abstract</strong> Internet of Things (IoT) is the inter-networking paradigm based on many processes such as identifying, sensing, networking and computation. An IoT technology stack provides seamless connectivity between various physical and virtual objects. The increasing number of IoT applications leads to the issue of transmitting, storing, and processing a large amount of data. Therefore, it is necessary to enable a system capable to handle the growing traffic requirements with the required level of QoS (Quality of Service). IoT devices become more complex due to the various compon

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Kumar, Aman, and Kamalraj R. "Internet of Things (IoT) in Healthcare." International Journal of Innovative Research in Computer and Communication Engineering 12, no. 05 (2024): 6032–35. http://dx.doi.org/10.15680/ijircce.2024.1205150.

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In this modern era, we have seen increased number of Heart disease Asthma, Diabetes and Mental health patients. So, in these conditions, IOT play a crucial role in this type of disease. Through the integration of sensors, software, and actuators for tracking and monitoring purposes into patients and their medications, smart healthcare plays a vital part in healthcare applications. Through the use of sensors, clinical care uses the Internet of Things to monitor patients' physiological status. Data is collected, evaluated, and sent remotely to processing centers so that appropriate actions can b

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Abdulazeez, Sabah, Abbas Khalifa Nawar, Nawar Banwan Hassan, and Emad Tariq. "Internet of Things: Architecture, Technologies, Applications, and Challenges." AlKadhim Journal for Computer Science 2, no. 1 (2024): 36–52. http://dx.doi.org/10.61710/kjcs.v2i1.67.

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A subset of cutting-edge information technology is the Internet of things (IoT). IoT refers to a network of physical objects with sensors attached that are linked to the Internet via LAN and WAN networking techniques. It is now commonly used to sense the environment and gather data in a variety of settings, including smart cities, healthcare, intelligent transportation, smart homes, and other structures. The IoT network architecture, core technology, and significant applications were outlined in this overview. The sensing layer, transport layer, and application layer are separated in the IoT n

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Wu, Jun, Zhaoyang Qiu, Mingyuan Dai, Jianrong Bao, Xiaorong Xu, and Weiwei Cao. "Distributed Sequential Detection for Cooperative Spectrum Sensing in Cognitive Internet of Things." Sensors 24, no. 2 (2024): 688. http://dx.doi.org/10.3390/s24020688.

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The rapid development of wireless communication technology has led to an increasing number of internet of thing (IoT) devices, and the demand for spectrum for these devices and their related applications is also increasing. However, spectrum scarcity has become an increasingly serious problem. Therefore, we introduce a collaborative spectrum sensing (CSS) framework in this paper to identify available spectrum resources so that IoT devices can access them and, meanwhile, avoid causing harmful interference to the normal communication of the primary user (PU). However, in the process of sensing t

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Nanda, Ipseeta, and Rajesh De. "THE STATE OF THE ART IN ECO-FRIENDLY IOT." Information Management And Computer Science 5, no. 1 (2022): 18–22. http://dx.doi.org/10.26480/imcs.01.2022.18.22.

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Everything in the “smart world” is connected by the Internet of Things (IoT), making its energy consumption a challenging and alluring research topic. The goal of a green IoT is to create a network that uses very little energy. In this paper, we present an overview of green Internet of Things technologies. It also covers the four stages of the green IoT life cycle (design, production, use, and recycling) in detail. Also covered are green IoT technologies like green tags, green sensing networks, and green internet technologies. Research on the Internet of Things in 5G networks and for smart cit

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Research scholar, Hemlata, and Dr Mohit Gupta. "INTERNET BASED SUSTAINABLE ENERGY FOR THE ECOSYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 02 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem28506.

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The world has a wealth of renewable and conventional energies, but the lack of technological capabilities and capacities combined with the water-energy requirements limit their benefits to its citizens. Sustainable energy research and innovation will be revolutionized by IoT technologies and the latest IoT communications and sensing approaches. Internet of Things can also be used to address energy challenges for the community by leveraging existing infrastructure such as renewable energy, microgrids and P2G hydrogen systems. This chapter presents the IoT for sustainable energy system approache

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M, ArulMozhi Pradeepa, and Gomathi B. "Towards Fog Computing based Cloud Sensor Integration for Internet of Things." International Journal of Computer Science and Engineering Communications 5, no. 6 (2017): 1761–73. https://doi.org/10.5281/zenodo.1155772.

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The Internet of Things (IoT) interconnects various identifiable devices within Internet for sensing and monitoring processes. In particular, Wireless Sensor Network (WSN) is formed by connecting identifiable devices like smart sensor, embedded CPU (Central Processing Unit), low power radios, to the internet through gateway that interfaces WSN to the internet. To handle the large amount of data generated by devices in IOT environment, cloud infrastructure provides Sensing as a Service(SeaaS) which can make sensor data available in cloud infrastructure for sensing and observing the environment c

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Miah, Md Sipon, Kazi Mowdud Ahmed, Md Khairul Islam, Md Ashek Raihan Mahmud, Md Mahbubur Rahman, and Heejung Yu. "Enhanced Sensing and Sum-Rate Analysis in a Cognitive Radio-Based Internet of Things." Sensors 20, no. 9 (2020): 2525. http://dx.doi.org/10.3390/s20092525.

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Spectrum sensing plays a vital role in cognitive radio networks (CRNs) for identifying the spectrum hole. However, an individual cognitive radio user in a CRN does not obtain sufficient sensing performance and sum rate of the primary and secondary links to support the future Internet of Things (IoT) using conventional detection techniques such as the energy detection (ED) technique in a noise-uncertain environment. In an environment comprising noise uncertainty, the performance of conventional energy detection techniques is significantly degraded owing to the noise fluctuation caused by the no

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Bourgeois, Jacky, and Gerd Kortuem. "Towards Responsible Design with Internet of Things Data." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 3421–30. http://dx.doi.org/10.1017/dsi.2019.349.

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AbstractRecent advances in sensing and networking technologies, namely the Internet of Things (IoT), have become key enablers of data-intensive design processes. However, the recent introduction of the General Data Protection Regulation (GDPR) in Europe has raised concerns that the GDPR might hamper data- intensive design processes. In this paper, we map the challenges of enabling ethical and compliant design of product-service systems with personal IoT data. Specifically, we present a 4-year project led by EON, an international energy provider, to design innovative home energy systems that le

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Durairaj, M., and K. Muthuramalingam. "A New Authentication Scheme with Elliptical Curve Cryptography for Internet of Things (IoT) Environments." International Journal of Engineering & Technology 7, no. 2.26 (2018): 119. http://dx.doi.org/10.14419/ijet.v7i2.26.14364.

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Internet of Things (IoT) consists of a large number of connected objects that are communicating with each other. To support trusted communication between IoT objects, the authentication procedures should be used and applied to the communicating entities. Internet of Things (IoT) is an emerging technology, which makes the remote sensing and control across the heterogeneous network a reality, and has good prospects in industrial applications. As an essential infrastructure, Wireless Sensor Networks (WSNs) play a crucial role in industrial IoT. Due to the resource-constrained feature of sensor no

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Zhao, Hong, Guowei Sun, Weiheng Li, Peiliang Zuo, Zhaobin Li, and Zhanzhen Wei. "Intelligent Computing Collaboration for the Security of the Fog Internet of Things." Symmetry 15, no. 5 (2023): 974. http://dx.doi.org/10.3390/sym15050974.

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The application of fog Internet of Things (IoT) technology helps solve the problem of weak computing power faced by IoT terminals. Due to asymmetric differences in communication methods, sensing data offloading from IoT terminals to fog and cloud layers faces different security issues, and both processes should be protected through certain data transmission protection measures. To take advantage of the relative asymmetry between cloud, fog, and sensing layers, this paper considers using physical layer security technology and encryption technology to ensure the security of the sensing data unlo

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Boza, Andrés, Beatriz Cortes, Maria del Mar Eva Alemany, and Llanos Cuenca. "CONCEPTUAL FRAMEWORK FOR APPLYING INTERNET OF THINGS IN PRODUCTION SYSTEMS FOR SENSING ENTERPRISES." Brazilian Journal of Operations & Production Management 13, no. 1 (2016): 66. http://dx.doi.org/10.14488/bjopm.2016.v13.n1.a7.

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Sensing Enterprise is a new concept, which appears with the Internet of Things (IoT) application in industry. This technology applied in production sys- tems provides many benefits like better transparency or real time information. This approach proposes a conceptual framework for IoT application in Production Systems. The aim of this framework is helping enterprises to identify the main el- ements to apply IoT in Production Systems. To create this framework, a literature review has been made and the main components of IoT in Sensing Enterprise in production proposals have been identify. Thus,

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Lin, Zihuai, and Wei Xiang. "Wireless Sensing and Networking for the Internet of Things." Sensors 23, no. 3 (2023): 1461. http://dx.doi.org/10.3390/s23031461.

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In recent years, we have witnessed the exponential proliferation of the Internet of Things (IoT)-based networks of physical devices, vehicles, and appliances, as well as other items embedded with electronics, software, sensors, actuators, and connectivity, which enable these objects to connect and exchange data [...]

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Pham, Duc Minh, and Syed Mahfuzul Aziz. "FlexiS—A Flexible Sensor Node Platform for the Internet of Things." Sensors 21, no. 15 (2021): 5154. http://dx.doi.org/10.3390/s21155154.

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In recent years, significant research and development efforts have been made to transform the Internet of Things (IoT) from a futuristic vision to reality. The IoT is expected to deliver huge economic benefits through improved infrastructure and productivity in almost all sectors. At the core of the IoT are the distributed sensing devices or sensor nodes that collect and communicate information about physical entities in the environment. These sensing platforms have traditionally been developed around off-the-shelf microcontrollers. Field-Programmable Gate Arrays (FPGA) have been used in some

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Ang, Kenneth Li Minn, Jasmine Kah Phooi Seng, and Ericmoore Ngharamike. "Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications." Future Internet 14, no. 2 (2022): 49. http://dx.doi.org/10.3390/fi14020049.

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Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices. Mobile crowdsourcing can be seen as a new paradigm contributing to the development of the IoT. They can be merged to form a new and essential platform in crowdsourcing IoT paradigm for data collection from different sources and communication mediums. This paper presents a comprehensive survey for this new Crowdsourcing IoT paradigm from four different perspectives: (1) Architectures for Crowd-IoT; (2) Trustworth

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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 (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

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Nanda, Ipseeta, and Rajesh De. "INTERNET OF THINGS (IOT): APPLICATIONS AND BENEFITS IN HEALTH CARE SECTOR." JOURNAL OF HEALTHCARE IN DEVELOPING COUNTRIES 2, no. 2 (2022): 35–37. http://dx.doi.org/10.26480/jhcdc.02.2022.35.37.

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The system of interrelated and interconnected objects that are capable of collecting and transferring data over the internet without human intervention is known as the Internet of Things. This paper delivers the usage of IOT in healthcare and the advantages. There are various sensing and monitoring devices available based on their required sectors where IOT is being used.

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Ben Sada, Abdelkarim, Abdenacer Naouri, Amar Khelloufi, Sahraoui Dhelim, and Huansheng Ning. "A Context-Aware Edge Computing Framework for Smart Internet of Things." Future Internet 15, no. 5 (2023): 154. http://dx.doi.org/10.3390/fi15050154.

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The data explosion caused by the rapid and widespread use of IoT devices is placing tremendous pressure on current communication, computing and storage resources. In an ambient ubiquitous computing environment, taking advantage of the context of the application scenario can significantly improve the system performance of IoT networks. Therefore, in this paper, we propose CONTESS, a context-aware edge computing framework with selective sensing that leverages the context information of the sensed environment to improve its applicability to smart IoT systems. CONTESS is composed of two parts: con

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Shahzad, Suniya, Faiza Jan Iftikhar, Afzal Shah, Hassan Abdur Rehman, and Emmanuel Iwuoha. "Novel interfaces for internet of wearable electrochemical sensors." RSC Advances 14, no. 49 (2024): 36713–32. http://dx.doi.org/10.1039/d4ra07165d.

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Sullivan, Yulia, Samuel Fosso Wamba, and Mary Dunaway. "Internet of Things and Competitive Advantage: A Dynamic Capabilities Perspective." Journal of the Association for Information Systems 24, no. 3 (2023): 745–81. http://dx.doi.org/10.17705/1jais.00807.

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Internet of Things (IoT) is one of the enabling technologies of Industry 4.0. Although IoT has shown great promise for organizations, its practical use in generating value alone or in combination with existing IT capabilities remains unclear. Drawing upon the literature on dynamic capabilities and innovation capability, we propose IoT-enabled innovation capability (IoT-IC), consisting of three dimensions (IoT use for sensing, seizing, and reconfiguring) to explain competitive advantage. We examine three ordinary IT capabilities (flexible IT infrastructure, IT business experience, and relations

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Kumar, Vinod, Sushil Kumar, Rabah AlShboul, et al. "Grouping and Sponsoring Centric Green Coverage Model for Internet of Things." Sensors 21, no. 12 (2021): 3948. http://dx.doi.org/10.3390/s21123948.

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Recently, green computing has received significant attention for Internet of Things (IoT) environments due to the growing computing demands under tiny sensor enabled smart services. The related literature on green computing majorly focuses on a cover set approach that works efficiently for target coverage, but it is not applicable in case of area coverage. In this paper, we present a new variant of a cover set approach called a grouping and sponsoring aware IoT framework (GS-IoT) that is suitable for area coverage. We achieve non-overlapping coverage for an entire sensing region employing sect

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thilakarathne, Navod neranjan, Rohan Samarasinghe, DMCK Dasanayake, et al. "Internet of Things (IoT) Security: Status, Challenges and Countermeasures." International Journal of Advanced Networking and Applications 14, no. 03 (2022): 5444–54. http://dx.doi.org/10.35444/ijana.2022.14305.

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The Internet of Things (IoT) is a vast concept spreading rapidly throughout the world today. Due to their inherent nature, IoT devices are more vulnerable to attacks than other cyber infrastructure. In a typical IoT system, four different types of layers can be identified. Those layers can be specified as the application layer, data processing (software) layer, network layer, and sensing (physical) layer. According to this architecture, each layer operates under different technologies. Thus, various challenges and vulnerabilities related to security have emerged and exist. Thereby extant and f

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Ghayvat, Hemant, S. C. Mukhopadhyay, Jie Liu, Arun Babu, Eshrat Elahi, and Xiang Gui. "Internet of Things for smart homes and buildings: Opportunities and Challenges." Australian Journal of Telecommunications and the Digital Economy 3, no. 4 (2015): 33. http://dx.doi.org/10.18080/ajtde.v3n4.23.

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Pervasive sensing facilitated by Wireless Sensor Networks (WSNs) technologies offered the integration of modern technology into a daily routine. The smart sensing approach offers the ability to sense the ambient parameters and use of different objects in the urban environment. Identification and monitoring technologies, WSNs, wireless communication protocols, and dispersed intelligence for objects are primitive elements of smart environmental solution. The WSNs with the application of Internet of Things (IoT) and Cloud Computing are uplifting the smart home solutions and applications. The pres

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Ghayvat, Hemant, S. C. Mukhopadhyay, Jie Liu, Arun Babu, Eshrat Elahi, and Xiang Gui. "Internet of Things for smart homes and buildings: Opportunities and Challenges." Journal of Telecommunications and the Digital Economy 3, no. 4 (2015): 33–47. http://dx.doi.org/10.18080/jtde.v3n4.23.

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Pervasive sensing facilitated by Wireless Sensor Networks (WSNs) technologies offered the integration of modern technology into a daily routine. The smart sensing approach offers the ability to sense the ambient parameters and use of different objects in the urban environment. Identification and monitoring technologies, WSNs, wireless communication protocols, and dispersed intelligence for objects are primitive elements of smart environmental solution. The WSNs with the application of Internet of Things (IoT) and Cloud Computing are uplifting the smart home solutions and applications. The pres

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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 (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 geographica

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Al Mtawa, Yaser, Hossam S. Hassanein, and Nidal Nasser. "Resilient Localization and Coverage in the Internet of Things." Electronics 12, no. 14 (2023): 3172. http://dx.doi.org/10.3390/electronics12143172.

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The proliferation of the Internet of Things (IoT) has revolutionized traditional services, giving rise to emerging smart infrastructures by connecting the physical and digital worlds. Sensory data is essential in IoT-based systems for providing context-aware and location-based services. Hence, the accurate localization of IoT devices is paramount. Anchor misplacement can significantly affect location information and coverage services in IoT. We study the effect of anchor misplacement in typical IoT settings where sensors are randomly deployed, can be mobile, and may belong to multiple provider

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Zhang, Donghuang. "The impacts of sensing robots in the Internet of Things." Applied and Computational Engineering 46, no. 1 (2024): 304–8. http://dx.doi.org/10.54254/2755-2721/46/20241641.

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Sensing robots, autonomous robots capable of sensing, collecting and transmitting environmental data, play a key role in the development of the Internet of Things. The purpose of this paper is to discuss the role of sensor robots in the Internet of Things environment and what kind of impact it has on the Internet of Things, and discuss how sensor robots are changing people's lives and work. Finally, this paper emphasizes the key role of sensor robots in the Internet of Things, providing a strong support for the development of future intelligent Internet of Things systems. This research provide

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Schrank, Franz. "Sensor Integration Technologies for Internet of Things." International Symposium on Microelectronics 2015, S1 (2015): S1—S34. http://dx.doi.org/10.4071/isom-2015-slide-3.

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Internet of things (IoT) will influence all areas from consumer to health care to building and home automation and to observation. IoT enables direct communication between objects via internet. The main functional blocks of IoT devices are sensing, data transmitting, processing and analysis and subsequent actuation. As a result such a system will consist of sensors, actuators, wireless connection, data processing, power management, energy harvesting, memory and software. A total market volume of almost 400 Bio US$ is predicted for 2024 whereof about 12Bio US$ are expected for IoT sensors (Yole

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Dezfouli, Behnam, and Yuhong Liu. "Editorial: Special Issue “Edge and Fog Computing for Internet of Things Systems”." Sensors 22, no. 12 (2022): 4387. http://dx.doi.org/10.3390/s22124387.

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Employing edge and fog computing for building IoT systems is essential, especially because of the massive number of data generated by sensing devices, the delay requirements of IoT applications, the high burden of data processing on cloud platforms, and the need to take immediate actions against security threats.

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Evanson, Mwangi Karanja, Masupe Shedden, and Mandu Jeffrey. "Internet of Things Malware : A Survey." International Journal of Computer Science & Engineering Survey (IJCSES) 8, June (2017): 1–20. https://doi.org/10.5121/ijcses.2017.8301.

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Ubiquitous devices are rising in popularity and sophistication. Internet of Things (IoT) avails opportunities for devices with powerful sensing, computing and interaction capabilities ranging from smartphones, wearable devices, home appliances, transport sensors and health products to share information through the internet. Due to vast data shared and increased interaction; they have attracted the interest of malware writers. Internet of Things environments poses unique challenges such as device latency, scalability, lack of antimalware tools and heterogeneity of device architectures that make

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Li, Shancang, Theo Tryfonas, and Honglei Li. "The Internet of Things: a security point of view." Internet Research 26, no. 2 (2016): 337–59. http://dx.doi.org/10.1108/intr-07-2014-0173.

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Purpose – The purpose of this paper is to provide an in-depth overview of the security requirements and challenges for Internet of Things (IoT) and discuss security solutions for various enabling technologies and implications to various applications. Design/methodology/approach – Security requirements and solutions are analysed based on a four-layer framework of IoT on sensing layer, network layer, service layer, and application layer. The cross-layer threats are analysed followed by the security discussion for the enabling technologies including identification and tracking technologies, WSN a

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