Relevant bibliographies by topics / Internet of Things Network (IoTN)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Internet of Things Network (IoTN)'

Author: Grafiati
Published: 25 May 2024
Last updated: 19 July 2025

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Journal articles on the topic "Internet of Things Network (IoTN)"

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Itagi, Manjunath, Dankan Gowda V, KDV Prasad, Pullela SVVSR Kumar, Shekhar R, and B. Ashreetha. "Performance Analysis of Energy Efficiency and Security Solutions of Internet of Things Protocols." International Journal of Electrical and Electronics Research 11, no. 2 (2023): 442–50. http://dx.doi.org/10.37391/ijeer.110226.

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The scientific and business communities are showing considerable interest in wireless sensor networks (WSN). The availability of low-cost, small-scale components like CPUs, radios, and sensors, which are often combined into a single chip, is crucial. Parallel to the evolution of WSNs, the concepts of the IoT have been evolving in recent years. Wireless communication technologies may play a significant role in the implementation of IoT, despite the fact that IoT does not need or require any particular technology for communication. WSN assisted IoT networks can drive several applications in many
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Nourildean, Shayma Wail, Mustafa Dhia Hassib, and Yousra Abd Mohammed. "Internet of things based wireless sensor network: a review." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 246. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp246-261.

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Recently, Internet of Things (IoT) technologies are developing technology with a variety of applications. The Internet of Things (IoTs) is defined as a network of ordinary objects such as Internet TVs, smartphones, actuators and sensors that are smartly connected together to enable new types of communication between people and things as well as between things themselves. Wireless sensor networks (WSNs) play an important part in Internet of Things (IoT) technology. A contribution to wireless sensor networks and IoT applications is wireless sensor nodes’ construction with high-speed CPUs and low
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Jin, Wang *. Yi bin Hou. "INVESTIGATION ON THE INTERNET OF THINGS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 12 (2016): 861–79. https://doi.org/10.5281/zenodo.221118.

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Do IOT problem definition and research. Research on Internet of things, first research object, Re research alliance,Re study network. Objects are things in the Internet of things, Link is how objects connect to the network, Network is what this network is. Objective function is the key problem. Can start with simple and critical questions. Algorithm is the solution to the problem steps. What is the Internet of things, objects connected to the Internet is the Internet of things, cup networking, car networking. Things better than other networks, is composed of what objects, what composition, wha
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Nikhat Akhtar and Yusuf Perwej. "The internet of nano things (IoNT) existing state and future Prospects." GSC Advanced Research and Reviews 5, no. 2 (2020): 131–50. http://dx.doi.org/10.30574/gscarr.2020.5.2.0110.

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The increase of intelligent environments suggests the interconnectivity of applications and the use of the Internet. For this reason, arise what is known as the Internet of Things (IoT). The expansion of the IoT concept gives access to the Internet of Nano Things (IoNT). A new communication networks paradigm based on nano technology and IoT, in other words, a paradigm with the capacity to interconnect nano-scale devices through existing networks. From the interconnection of these nano machines with the Internet emerged the concept of Internet of Nano Things (IoNT). The Internet of Nano-Things
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Nikhat, Akhtar, and Perwej Yusuf. "The internet of nano things (IoNT) existing state and future Prospects." GSC Advanced Research and Reviews 5, no. 2 (2020): 131–50. https://doi.org/10.5281/zenodo.4319652.

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The increase of intelligent environments suggests the interconnectivity of applications and the use of the Internet. For this reason, arise what is known as the Internet of Things (IoT). The expansion of the IoT concept gives access to the Internet of Nano Things (IoNT). A new communication networks paradigm based on nano technology and IoT, in other words, a paradigm with the capacity to interconnect nano-scale devices through existing networks. From the interconnection of these nano machines with the Internet emerged the concept of Internet of Nano Things (IoNT). The Internet of Nano-Things
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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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Fadziso, Takudzwa. "Internet of Things in Agriculture for Smart Farming." Malaysian Journal of Medical and Biological Research 5, no. 2 (2018): 147–56. http://dx.doi.org/10.18034/mjmbr.v5i2.565.

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Internet of Things in Agricultural Farming’ deals with the use IoTs in providing farmers the means to do multiple parallel things with wifi connected and increase their productivity in turn increasing their yearly revenue and profits. This will not only help the farmer but the raw materials which come out will be more than what would have yielded if the farmer had done all by themselves. The IoT network comprises systems and a network of web-connected intelligent devices that employ encoded networks like sensors, processors, and interactive hardware to receive, send and store data. The use of
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Savytska, Liudmyla, Tetiana Korobeinikova, Oleh Kostiuk, Iryna Kolesnyk, and Oleksandr Dudnyk. "INTERNET OF THINGS PROTECTION MEANS IN THE CORPORATE COMPUTER NETWORK." Information technology and computer engineering 59, no. 1 (2024): 83–93. http://dx.doi.org/10.31649/1999-9941-2024-59-1-83-93.

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This work pertains to the analysis and enhancement of security measures for the Internet of Things (IoT) in corporate computer networks. The Internet of Things encompasses a wide range of data, including personal information, making the issue of security during their transmission highly relevant. The primary goal of the research is the development of an advanced technological design for the IoT system to ensure a high level of security and confidentiality of information. The modern world of the Internet of Things demands an analysis and improvement of IoT security in corporate computer network
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Ganapathy, Apoorva. "Image Association to URLs across CMS Websites with Unique Watermark Signatures to Identify Who Owns the Camera." American Journal of Trade and Policy 6, no. 3 (2019): 101–6. http://dx.doi.org/10.18034/ajtp.v6i3.543.

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Internet is the world's network of connected computer networks. Internet means an interconnected network. It is a network of connected web servers. Internet helps data and people across the globe. Internet of things refers to network-connected things with embedded computer chips. Things on the internet would include devices enabled for internet access. IoT association of images on content management websites with unique watermark signature to account for Royal to the owner of the picture will help against piracy, copyright infringement, and misuse of photos registered with unique identificatio
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K., Thamizhmaran. "Network Privacy Reflection using Internet of Things." Recent Trends in Control and Converter 3, no. 3 (2021): 1–11. https://doi.org/10.5281/zenodo.4477853.

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<em>The current IP and other networks such as Power Smart Grids are fast developing, thus ensuing in diverse connectivity methodologies. This has led to the emergence of &quot;the Internet of Things&rdquo; (IoT) methodology whose goal is to transform the current IP and related networks to Device-to-Device (D-2-D) basis. It will seamlessly interconnect the globe via intelligent devices and sensors of varying types, this resulting in voluminous generation and exchange of data in excess of 20 billion Internet-connected objects and sensors (things) by 2022. The resultant structure will benefit man
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Dissertations / Theses on the topic "Internet of Things Network (IoTN)"

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Okumura, Brandon M. "IoTA: Internet of Things Assistant." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1769.

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The Internet of Things is the networking of electronic devices, or “Things”, that enables them to collect and share data, as well as interact with their physical surround- ings. Analyzing this collected data allows us to make smarter economic decisions. These interconnected networks are usually driven by low-powered micro-controllers or cheap CPUs that are designed to function optimally with very little hardware. As scale and computational requirements increase, these micro-controllers are unable to grow without being physically replaced. This thesis proposes a system, IoTA, that assists the I
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Shahid, Mustafizur Rahman. "Deep learning for Internet of Things (IoT) network security." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAS003.

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L’internet des objets (IoT) introduit de nouveaux défis pour la sécurité des réseaux. La plupart des objets IoT sont vulnérables en raison d'un manque de sensibilisation à la sécurité des fabricants d'appareils et des utilisateurs. En conséquence, ces objets sont devenus des cibles privilégiées pour les développeurs de malware qui veulent les transformer en bots. Contrairement à un ordinateur de bureau, un objet IoT est conçu pour accomplir des tâches spécifiques. Son comportement réseau est donc très stable et prévisible, ce qui le rend bien adapté aux techniques d'analyse de données. Ainsi,
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Diratie, Eyassu Dilla. "Hybrid internet of things network for energy-efficient video surveillance system." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG066.

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Les réseaux de capteurs visuels sans fil basés sur les réseaux maillés IEEE 802.11 sont des solutions efficaces et adaptées aux systèmes de vidéosurveillance pour surveiller les intrusions dans des zones sélectionnées. Les réseaux de capteurs visuels basés sur IEEE 802.11 offrent des transmissions vidéo à haut débit mais souffrent de problèmes d'inefficacité énergétique. De plus, la transmission vidéo dans les réseaux de capteurs visuels nécessite une qualité de service (QoS) stricte en termes de bande passante et de délai. En outre, il est difficile de réduire la consommation énergétique glob
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Alm, Anton. "Internet of Things mesh network : Using the Thread networking protocol." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-70809.

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This thesis summarizes my project in setting up a Thread network. The idea of this project was presented by the company ÅF in Karlstad, Sweden. ÅF wishes to upgrade their current demonstrator for IoT. The current demonstrator includes Azure Cloud component, Raspberry Pi, Bluetooth and Arduino components. The upgrade includes implementing Thread technology together with Thread verified hardware from Nordic semiconductor and the Raspberry Pi Foundation. Thread is an IoT mesh networking protocol that was released year 2014. Compared to Bluetooth it offers IP communication (including IPv6) combine
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Xu, Ran. "Federated Sensor Network architectural design for the Internet of Things (IoT)." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/13453.

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An information technology that can combine the physical world and virtual world is desired. The Internet of Things (IoT) is a concept system that uses Radio Frequency Identification (RFID), WSN and barcode scanners to sense and to detect physical objects and events. This information is shared with people on the Internet. With the announcement of the Smarter Planet concept by IBM, the problem of how to share this data was raised. However, the original design of WSN aims to provide environment monitoring and control within a small scale local network. It cannot meet the demands of the IoT becaus
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Carlquist, Johan. "Evaluating the use of ICN for Internet of things." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-343368.

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The market of IOT devices continues to grow at a rapid speed as well as constrained wireless sensor networks. Today, the main network paradigm is host centric where a users have to specify which host they want to receive their data from. Information-centric networking is a new paradigm for the future internet, which is based on named data instead of named hosts. With ICN, a user needs to send a request for a perticular data in order to retrieve it. When sent, any participant in the network, router or server, containing the data will respond to the request. In order to achieve low latency betwe
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Hsu, Alexander Sirui. "Automatic Internet of Things Device Category Identification using Traffic Rates." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/88421.

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Due to the ever increasing supply of new Internet of Things (IoT) devices being added onto a network, it is vital secure the devices from incoming cyber threats. The manufacturing process of creating and developing a new IoT device allows many new companies to come out with their own device. These devices also increase the network risk because many IoT devices are created without proper security implementation. Utilizing traffic patterns as a method of device type detection will allow behavior identification using only Internet Protocol (IP) header information. The network traffic captured fro
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Frawley, Ryan Joseph. "Logging and Analysis of Internet of Things (IoT) Device Network Traffic and Power Consumption." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1911.

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An increasing number of devices, from coffee makers to electric kettles, are becoming connected to the Internet. These are all a part of the Internet of Things, or IoT. Each device generates unique network traffic and power consumption patterns. Until now, there has not been a comprehensive set of data that captures these traffic and power patterns. This thesis documents how we collected 10 to 15 weeks of network traffic and power consumption data from 15 different IoT devices and provides an analysis of a subset of 6 devices. Devices including an Amazon Echo Dot, Google Home Mini, and Google
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Hobring, Linus, and Philip Söderberg. "A sensor network for the Internet of Things Integrated with a bidirectional backend." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2702.

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Internet of Things is rapidly evolving. This thesis includes a study of single-board computers suitable for machine-to-machine communication together with the developing process of a sensor network integrated with a bidirectional communication platform. Raspberry Pi was selected as the single-board computer used in the proposed system. The Message Queuing Telemetry Transport protocol was selected as main communication protocol to handle all exchange of information between the network and the bidirectional communication platform. It was selected because of its reliability, low bandwidth and pub
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NITTI, MICHELE. "Managing the Internet of Things based on its Social Structure." Doctoral thesis, Università degli Studi di Cagliari, 2014. http://hdl.handle.net/11584/266422.

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Society is moving towards an “always connected” paradigm, where the Internet user is shifting from persons to things, leading to the so called Internet of Things (IoT) scenario. The IoT vision integrates a large number of technologies and foresees to embody a variety of smart objects around us (such as sensors, actuators, smartphones, RFID, etc.) that, through unique addressing schemes and standard communication protocols, are able to interact with each Others and cooperate with their neighbors to reach common goals [2, 3]. IoT is a hot research topic, as demonstrated by the increasing attent
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Books on the topic "Internet of Things Network (IoTN)"

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Patel, Rajan, Nimisha Patel, Linda Smail, Pariza Kamboj, and Mukesh Soni. Intelligent Green Communication Network for Internet of Things. CRC Press, 2023. http://dx.doi.org/10.1201/9781003371526.

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Khurana Batra, Payal, Pawan Singh Mehra, and Sudeep Tanwar. Network Optimization in Intelligent Internet of Things Applications. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003405535.

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Udgata, Siba Kumar, and Nagender Kumar Suryadevara. Internet of Things and Sensor Network for COVID-19. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7654-6.

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Leebow, Ken. 300 incredible things for travelers on the Internet. 300Incredible.com, 1999.

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Leebow, Ken. 300 incredible things for travelers on the Internet. 300Incredible.com, 2000.

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Japan) IOT (Conference) (2010 Tokyo. 2010 Internet of things: (IOT 2010) , Tokyo, Japan, 29 November- 1 December 2010. IEEE, 2010.

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Leebow, Ken. 300 more incredible things to do on the Internet. 300incredible.com, 2000.

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Ouaissa, Mariyam, Mariya Ouaissa, Inam Ullah Khan, Zakaria Boulouard, and Junaid Rashid. Low-Power Wide Area Network for Large Scale Internet of Things. CRC Press, 2024. http://dx.doi.org/10.1201/9781003426974.

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Vella, Bob. 300 incredible things for pet lovers on the Internet. 300 Incredible.COM, LLC, 2000.

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Spizman, Robyn Freedman. 300 incredible things for women on the Internet. 300Incredible.COM, LLC, 2000.

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Book chapters on the topic "Internet of Things Network (IoTN)"

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Wu, Chuan-Kun. "IoT Network Layer Security." In Internet of Things Security. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1372-2_7.

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Sarwesh, P., N. Shekar V. Shet, and K. Chandrasekaran. "Energy-Efficient Network Architecture for IoT Applications." In Internet of Things. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50758-3_5.

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Salam, Abdul. "IoT in Hyperspectral Space: Terrestrial Integration Network." In Internet of Things. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-62162-8_12.

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Kotenko, Igor, Igor Saenko, and Fadey Skorik. "IoT Network Administration by Intelligent Decision Support Based on Combined Neural Networks." In Internet of Things. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21940-5_1.

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Kant, Umang, and Vinod Kumar. "IoT Network Used in Fog and Cloud Computing." In Internet of Things. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1585-7_8.

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Wu, Fan, Christoph Rüdiger, Jean-Michel Redouté, and Mehmet Rasit Yuce. "A Wearable Multi-sensor IoT Network System for Environmental Monitoring." In Internet of Things. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02819-0_3.

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Qian, Zhihong, Yijun Wang, Xue Wang, and Shuang Zhu. "M/I Adaptation Layer Network Protocol for IoT Based on 6LoWPAN." In Internet of Things. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32427-7_28.

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Khelifi, Fekher. "Monitoring System Based in Wireless Sensor Network for Precision Agriculture." In Internet of Things (IoT). Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37468-6_24.

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Tomaš, Boris, and Neven Vrček. "Smart City Vehicular Mobile Sensor Network." In Internet of Things. IoT Infrastructures. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19743-2_11.

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Hauschild, Sebastian, and Horst Hellbrück. "Latency and Energy Consumption of Convolutional Neural Network Models from IoT Edge Perspective." In Internet of Things. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20936-9_31.

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Conference papers on the topic "Internet of Things Network (IoTN)"

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Al-Habob, Ahmed A., Octavia A. Dobre, and Yindi Jing. "Energy-Efficient Network Slicing for UAV-enabled Networks." In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. https://doi.org/10.1109/wf-iot62078.2024.10811335.

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Kianfar, Ghazaleh, Zohreh Hajiakhondi-Meybodi, and Arash Mohammadi. "Temporal Dual-Attention Graph Network for Popularity Prediction in MEC Networks." In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. https://doi.org/10.1109/wf-iot62078.2024.10811363.

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Al Tfaily, Fouad, Zakariya Ghalmane, Mortada Termos, Mohamed-el-Amine Brahmia, Ali Jaber, and Mourad Zghal. "Generating Realistic Cyber Security Datasets for IoT Networks with Diverse Complex Network Properties." In 10th International Conference on Internet of Things, Big Data and Security. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013359000003944.

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Alam, Khorshed, Md Fahad Monir, Zoheb Hassan, and Md Tarek Habib. "Optimizing IoT Network Intrusion Detection: A Deep Learning Approach." In 2024 7th Conference on Cloud and Internet of Things (CIoT). IEEE, 2024. http://dx.doi.org/10.1109/ciot63799.2024.10757105.

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E, Dinesh, Praveen S, Parvathakrishnan P, Vetri E, and Naveenraj V. "Efficient Real-Time Water Distribution Network using Internet of Things (IoT)." In 2025 5th International Conference on Trends in Material Science and Inventive Materials (ICTMIM). IEEE, 2025. https://doi.org/10.1109/ictmim65579.2025.10987968.

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Kadri, Jawad, Alex Lott, Brendan Mailloux, et al. "Evasion Adversarial Attacks Perturbations in Network Security." In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. https://doi.org/10.1109/wf-iot62078.2024.10811295.

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Ghorab, Amir Hoseein, Mohammed Abuibaid, Aysun Aslan Saruhan, and Marc St-Hilaire. "SDN-Based Service Function Chaining in Kubernetes Using Network Service Mesh with Kernel-type Network Interfaces for Industrial IoT." In 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. https://doi.org/10.1109/wf-iot62078.2024.10811207.

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R Ahmed, Muhammad, Ahmed Al Shihimi, Thirein Myo, Badar Al Baroomi, and M. Shamim Kaiser. "Internet of Things Network Architecture and Security Challenges." In 12th International Conference on Digital Image Processing and Vision. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131313.

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The Internet of Things (IoT) has transformed not only the way we communicate and operate our devices, but it has also brought us significant security challenges. A typical IoT network architecture consists of four levels: a device, a network, an application, and a service, each with its own security considerations. There are three types of IoT networks: Personal Area Networks (PANs), Local Area Networks (LANs), and Wide Area Networks (WANs). Each type has its own security requirements, so it is important to understand their particular security requirements. Several communication protocols that
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Nitti, Michele, Luigi Atzori, and Irena Pletikosa Cvijikj. "Network navigability in the social Internet of Things." In 2014 IEEE World Forum on Internet of Things (WF-IoT). IEEE, 2014. http://dx.doi.org/10.1109/wf-iot.2014.6803200.

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Athreya, Arjun P., and Patrick Tague. "Network self-organization in the Internet of Things." In 2013 IEEE International Workshop of Internet-of-Things Networking and Control (IoT-NC). IEEE, 2013. http://dx.doi.org/10.1109/iot-nc.2013.6694050.

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Reports on the topic "Internet of Things Network (IoTN)"

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Symington, Susan, William Polk, and Murugiah Souppaya. Trusted Internet of Things (IoT) Device Network-Layer Onboarding and Lifecycle Management (Draft). National Institute of Standards and Technology, 2020. http://dx.doi.org/10.6028/nist.cswp.09082020-draft.

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Phillips, Paul. The Application of Satellite-based Internet of Things for New Mobility. SAE International, 2024. http://dx.doi.org/10.4271/epr2024001.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;With the increased use of devices requiring the Internet of Things (IoT) to enable “New Mobility,” the demand for satellite-enabled IoT is growing steadily, owing to the extensive coverage provided by satellites (over existing ground-based infrastructure). Satellite-based IoT provides precise and real-time vehicle location and tracking services, large-scale geographical vehicle and/or infrastructure monitoring, and increased coverage for remote locations where it may not be possible to install ground-based solutions.&lt;
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Dodson, Donna, Douglas Montgomery, Tim Polk, et al. Securing Small-Business and Home Internet of Things (IoT) Devices: Mitigating Network-Based Attacks Using Manufacturer Usage Description (MUD). National Institute of Standards and Technology, 2021. http://dx.doi.org/10.6028/nist.sp.1800-15.

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Niles, Kendall, Jason Ray, Kenneth Niles, Andrew Maxwell, and Anton Netchaev. Monitoring for analytes through LoRa and LoRaWAN technology. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49457.

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The purpose of this research is to investigate the use of a communication network utilizing Long Range (LoRa) low-power wide-area network protocol for the telemetry of detected target chemicals. The sensor platform under development allows traditional electrochemical techniques to be executed with a low Size, Weight, and Power (low SWaP) system that is deployable using an autonomous or remote-controlled vehicle. Once in the field, the sensors communicate target chemical concentrations to a centralized gateway through LoRa to an Internet of Things (IoT) network. Researchers are currently deploy
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García Zaballos, Antonio, Maribel Dalio, Jesús Garran, Enrique Iglesias Rodriguez, Pau Puig Gabarró, and Ricardo Martínez Garza Fernández. Estructuración de un centro de operación de redes (NOC). Banco Interamericano de Desarrollo, 2022. http://dx.doi.org/10.18235/0004520.

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El desarrollo de la tecnología 5G nos permitirá descubrir cosas que hasta ahora no podíamos hacer tecnológicamente. Y habilitará la fusión del mundo físico (operational technology, OT) con el mundo digital (information technology, IT), abriendo nuevos mundos como son internet de las cosas (Internet of Things, IoT), metaverso, digital twin, entre otros. El centro de operaciones de red (Network Operations Center, NOC) es la herramienta que nos permite garantizar la disponibilidad y el rendimiento de las redes. En particular, el NOC será responsable de monitorizar, identificar, investigar, priori
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Watrobski, Paul, Murugiah Souppaya, Joshua Klosterman, and William Barker. Methodology for Characterizing Network Behavior of Internet of Things Devices. National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.ir.8349-draft.

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Ruvinsky, Alicia, Timothy Garton, Daniel Chausse, Rajeev Agrawal, Harland Yu, and Ernest Miller. Accelerating the tactical decision process with High-Performance Computing (HPC) on the edge : motivation, framework, and use cases. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42169.

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Managing the ever-growing volume and velocity of data across the battlefield is a critical problem for warfighters. Solving this problem will require a fundamental change in how battlefield analyses are performed. A new approach to making decisions on the battlefield will eliminate data transport delays by moving the analytical capabilities closer to data sources. Decision cycles depend on the speed at which data can be captured and converted to actionable information for decision making. Real-time situational awareness is achieved by locating computational assets at the tactical edge. Acceler
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Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning Syste
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