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Journal articles on the topic 'Network automation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Reddy M, Shyam Prasad, and Dr Ambareesh S. "NETWORK AUTOMATION." International Journal of Innovative Research in Advanced Engineering 9, no. 8 (2022): 203–6. http://dx.doi.org/10.26562/ijirae.2022.v0908.10.

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In the traditional ways of networking, we have a lot of manual operations to complete any task in networking. This leads to a heavier cost in network management than the cost of the network. To overcome cost and efficiency in network configuration and management, we are automating the tasks using software, where they can control, configure and manage networks. In this project, we are upgrading the Arista device operating system by taking pre and post conformations using python. Networking programming is based on software networks, where scripting is used for network elements control.

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Mohd Fuzi, Mohd Faris, Khairunnisa Abdullah, Iman Hazwam Abd Halim, and Rafiza Ruslan. "Network Automation using Ansible for EIGRP Network." Journal of Computing Research and Innovation 6, no. 4 (2021): 59–69. http://dx.doi.org/10.24191/jcrinn.v6i4.237.

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Network automation has evolved into a solution that emphasizes efficiency in all areas. Furthermore, communication and computer networks rely on a platform that provides the necessary technological infrastructure for packet transfer through the Internet using routing protocols. The Enhanced Interior Gateway Routing Protocol (EIGRP) is a hybrid routing protocol that combines the properties of both distance-vector and link-state routing methods. The traditional technique to configure EIGRP is inefficient and requires repeated processes compared to the network automation concept. Network automati

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Barbosa, Raul, João Fonseca, Marco Araújo, and Daniel Corujo. "Vinia: Voice-enabled intent-based networking for industrial automation." Computer Science and Information Systems, no. 00 (2024): 2. http://dx.doi.org/10.2298/csis230213002b.

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Intent Based Networking (IBN) is a promising approach for automating and managing large and complex networks. Integrating Voice-enabled Virtual Assistants (VVAs) with IBN and Software Defined Networking (SDN) has improved network management efficiency and flexibility. However, there is still room for optimization improvement in installing intents in industrial scenarios. Network Orchestration Automation plays an important role within the Beyond 5G and 6G Networks, considering existing practices for orchestrating 5G Network Functions. This work presents an extended preliminary architecture for

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Muhammad, Tayyab, and Muhammad Munir. "Network Automation." European Journal of Technology 7, no. 3 (2023): 23–42. http://dx.doi.org/10.47672/ejt.1547.

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Purpose: The article "Network Automation in the Contemporary Economy" explores the concepts and methods of effective network management. The application stack, Jinja template engine, automation architecture, Nornir inventory management, application flow, logging, debugging, and live code testing are just a few of the subjects it covers. Network administrators are more important as digital technologies evolve quickly in order to maintain a safe and dependable network connection. The purpose of this article is to give network administrators the information and abilities they need to successfully

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Hamdan, Mutasem Q., Haeyoung Lee, Dionysia Triantafyllopoulou, et al. "Recent Advances in Machine Learning for Network Automation in the O-RAN." Sensors 23, no. 21 (2023): 8792. http://dx.doi.org/10.3390/s23218792.

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The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN introduces disaggregation and virtualization, enabling network operators to deploy multi-vendor and interoperable solutions. However, managing and automating the complex O-RAN ecosystem presents numerous challenges. To address this, machine learning (ML) techniques have gained considerable attention in recent years, offering promising avenues for network automation in O-RAN. This paper presents

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Ramesh, G., J. Logeshwaran, and Avvaru Praveen Kumar. "The Smart Network Management Automation Algorithm for Administration of Reliable 5G Communication Networks." Wireless Communications and Mobile Computing 2023 (April 28, 2023): 1–13. http://dx.doi.org/10.1155/2023/7626803.

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Smart network management automation (SNMA) is a technology that enables the automation of network management tasks. It provides a platform for automating network management, allowing administrators to manage their networks more reliably and efficiently. It provides the tools to monitor and manage network performance, identify and troubleshoot problems, and automate the deployment of new services and applications. SNMA also allows for scalability to meet the needs of any organization, regardless of size or complexity. With SNMA, network administrators can quickly and accurately identify problem

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Higham, Mark. "AUTOMATION COMMUNICATION NETWORK." Assembly Automation 12, no. 1 (1992): 11–13. http://dx.doi.org/10.1108/eb004353.

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Shahane, Gauri. "Network Security (Automation)." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30835.

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The security of an operator’s network is crucial while being increasingly complex to ensure. This is all the more the case with the evolution of the network towards virtualization. In this paper, we will explain how to secure a network and then give some real examples of automation implemented to ensure this security. Finally, we will detail the new risks associated with the implementation of automation tools and share some good security practices around their implementation. Keywords : Network security automation

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Beran, Jan. "Virtual automation network challenge in industrial automation." IFAC Proceedings Volumes 39, no. 21 (2006): 473–78. http://dx.doi.org/10.1016/s1474-6670(17)30234-3.

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Rauchhaupt, Lutz, and Vishwas Lakkundi. "Wireless Network Integration into Virtual Automation Networks." IFAC Proceedings Volumes 41, no. 2 (2008): 13982–87. http://dx.doi.org/10.3182/20080706-5-kr-1001.02367.

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Siva, Kumar Mamillapalli. "Streamlining Network Management with Automation." International Journal of Leading Research Publication 1, no. 4 (2020): 1–5. https://doi.org/10.5281/zenodo.14982469.

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The increasing complexity of modern networks renders manual management and incident response unsustainable. This paper investigates how artificial intelligence (AI), machine learning (ML), and software-defined networking (SDN) can automate these critical functions. By leveraging AI/ML for proactive configuration, monitoring, and maintenance, and utilizing SDN for centralized control and scalability, networks can achieve significant improvements in efficiency, security, and performance. Automation also enables real-time threat detection and mitigation, dramatically shortening incident response

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Xu, Chang Fu, Bin Bo, and Yong He. "Distribution Automation Oriented Research on the Adaptability of the Communication Network Technologies." Applied Mechanics and Materials 713-715 (January 2015): 946–49. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.946.

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The traffic of the distribution automation communication network under different size and applications is analyzed based on the communications models. From the network availability and the resource utilization, the distribution automation adaptability is compared with the different communication networks combined with the current main power terminal communication network technologies. The results provide an important theoretical basis for the planning of the distribution automation communication network.

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Noriyas, Fukatsu. "Factory automation network system." Computer Integrated Manufacturing Systems 10, no. 2 (1997): 171. http://dx.doi.org/10.1016/s0951-5240(97)84319-4.

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Bhagat, Nikhil. "Network Automation for Routing and Switching: Leveraging Tools Like Ansible and Netconf." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem11745.

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With growing network size and complexity, service providers and enterprises face ever- increasing difficulty to keep the networks in their desired configurations with minimum latency and high availability. Manual configuration and implementation processes are error-prone, inefficient, and costly. Network automation using tools like Ansible or Netconf can definitely aid in reducing implementation errors, reduce engineering time and eventually reduce operational costs. Automation can help enterprises and service providers increase effectiveness, and optimize. This paper describes current difficu

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Wicaksono, Deny, and Benfano Soewito. "Application of the Multi-Threading Method and Python Script for the Automate of Network." Syntax Literate ; Jurnal Ilmiah Indonesia 9, no. 6 (2024): 3614–29. http://dx.doi.org/10.36418/syntax-literate.v9i6.16345.

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In recent times, there has been a noticeable surge in the inclination towards the implementation of network automation solutions. This trend is driven by the objective of optimizing network availability within the context of hybrid data center networks, which are becoming increasingly prevalent. Reliability, performance, scalability, and minimal resource overhead are crucial solution design characteristics that significantly impact the decision- making process regarding adoption. Recent research has shown that 90% of network outages happen because of human factors and 69% of respondents manage

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Ankita, Sharma. "Network Automation and Orchestration: AI-Driven Self-Healing Networks and Zero-Touch Provisioning." European Journal of Advances in Engineering and Technology 10, no. 3 (2023): 98–104. https://doi.org/10.5281/zenodo.14168741.

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This study analyzes the changing dynamics of network automation and orchestration, highlighting the contributions of Artificial Intelligence (AI) and Machine Learning (ML) in improving network stability, scalability, and efficiency. We examine the development of self-healing networks for autonomous fault identification and rectification, SD-WAN automation for hybrid cloud settings, and zero-touch provisioning for efficient network administration. This investigation underscores the role of AI and ML in advancing the next generation of network automation, paving the way for progressively autonom

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Kämppi, Jarno, and Karo Saharinen. "Key Actions to Enable Automation for Mobile Network Security Operations." European Conference on Cyber Warfare and Security 23, no. 1 (2024): 224–32. http://dx.doi.org/10.34190/eccws.23.1.2232.

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Over time, the landscape of Cyberspace surrounding Internet Service Providers (ISPs) has undergone enduring transformations. Notably, mobile networks, integral to contemporary societal infrastructure, consistently encounter evolving cybersecurity threats and risks. ISP processes have adapted with a persistent focus on optimizing network performance and availability, yet the challenges emerge from a laborious and protracted network change management process, hindering the practical automation of network security. Addressing the rightful demand for the highest level of security from mobile netwo

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Suresh Reddy Thati. "Configuration and compliance automation in modern networks: A framework for enhanced security and operational efficiency." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 2513–19. https://doi.org/10.30574/wjaets.2025.15.2.0613.

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Configuration and compliance automation represents a transformative approach to modern network management, addressing the escalating complexity of enterprise network environments. As organizations expand their digital footprint through cloud integration, IoT adoption, and hybrid work models, the traditional manual approach to network configuration has become increasingly unsustainable. The heterogeneous nature of contemporary networks, typically encompassing multiple vendors, platforms, and technologies, creates significant challenges for maintaining configuration consistency, ensuring regulat

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Mihăilă, Paul, Titus Bălan, Radu Curpen, and Florin Sandu. "Network Automation and Abstraction using Python Programming Methods." MACRo 2015 2, no. 1 (2017): 95–103. http://dx.doi.org/10.1515/macro-2017-0011.

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AbstractNetwork programmability is a trend, enhanced and inspired by Software Defined Networks, that are based on scripting methods and standard programming languages used for controlling and monitoring of network elements. This paper is illustrating some new methods in configuring network devices by using automation, reducing time for equipment configuration and easier maintenance. It also improves network security by recognizing and fixing security vulnerabilities and it increases the network stability. These methods represent the future of networks, allowing the management of an increased n

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Loney, Fred, and Guanming Wu. "Automation of ReactomeFIViz via CyREST API." F1000Research 7 (May 2, 2018): 531. http://dx.doi.org/10.12688/f1000research.14776.1.

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Pathway- and network-based approaches project seemingly unrelated genes onto the context of pathways and networks, enhancing the analysis power that cannot be achieved via gene-based approaches. Pathway and network approaches are routinely applied in large-scale data analysis for cancer and other complicated diseases. ReactomeFIViz is a Cytoscape app, providing features for researchers to perform pathway- and network-based data analysis and visualization by leveraging manually curated Reactome pathways and highly reliable Reactome functional interaction network. To facilitate adoption of this

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Loney, Fred, and Guanming Wu. "Automation of ReactomeFIViz via CyREST API." F1000Research 7 (May 23, 2018): 531. http://dx.doi.org/10.12688/f1000research.14776.2.

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Pathway- and network-based approaches project seemingly unrelated genes onto the context of pathways and networks, enhancing the analysis power that cannot be achieved via gene-based approaches. Pathway and network approaches are routinely applied in large-scale data analysis for cancer and other complicated diseases. ReactomeFIViz is a Cytoscape app, providing features for researchers to perform pathway- and network-based data analysis and visualization by leveraging manually curated Reactome pathways and highly reliable Reactome functional interaction network. To facilitate adoption of this

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Moubayed, Abdallah, Abdallah Shami, and Anwer Al-Dulaimi. "On End-to-End Intelligent Automation of 6G Networks." Future Internet 14, no. 6 (2022): 165. http://dx.doi.org/10.3390/fi14060165.

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The digital transformation of businesses and services is currently in full force, opening the world to a new set of unique challenges and opportunities. In this context, 6G promises to be the set of technologies, architectures, and paradigms that will promote the digital transformation and enable growth and sustainability by offering the means to interact and control the digital and virtual worlds that are decoupled from their physical location. One of the main challenges facing 6G networks is “end-to-end network automation”. This is because such networks have to deal with more complex infrast

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Zhang, Lei, Yuzhi Zhou, and Bifu Qian. "Study of Information Fusion of Distribution Network Automation and Digital Substation Automation." MATEC Web of Conferences 232 (2018): 03019. http://dx.doi.org/10.1051/matecconf/201823203019.

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Information fusion of distribution network automation and digital substation automation can improve the efficient use of the digital substation’s distribution network data and strengthen the distribution network. The scheme adds a distribution network area controller for information interaction and integrally models distribution network and digital substation equipment based on the IEC 61850 protocol. This paper details the information fusion scheme of regional distribution network and substation automation system as well as the main function of the controller. The case study demonstrates that

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Zhussip, Aiysbek, Gulzhan Kashaganova, and Kulzhan Togzhanova. "FEATURES OF NEURAL NETWORK APPLICATION IN AUTOMATION PROCESSES." International Journal of Advanced Logistics, Transport and Engineering 3, no. 3 (2022): 21–28. http://dx.doi.org/10.52167/2790-5829-2022-3-3-21-28.

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The process of selecting a convolutional neural network for the RaspberryPi microcomputer, which is part of a sorting machine – a device for collecting and sorting plastic bottles and aluminum cans, is shown. Three neural networks were selected for training: AlexNet, SqueezeNet and MobileNet. The training was conducted using Transfer Learning in two ways: replacing the last level of the classifier, then training and configuring the entire network. The Caffe framework was chosen as the basis for launching neural networks as the most popular. For the verification sample consisting of 2300 photos

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Fahmi Limas Ptr, Agus, and B. Herawan Hayadi. "IOT Network Automation Implementation in Router Configuration Handling." Jurnal MESIL (Mesin Elektro Sipil) 3, no. 1 (2022): 13–21. http://dx.doi.org/10.53695/jm.v3i1.639.

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Network Automation or network automation in terms is the process of automating the configuration, management, testing, deployment, and operation of physical and virtual devices in a network. Thus, in this study, we will discuss the design of an IoT-based system for handling router configurations. This IoT-based router handling system uses the Python programming language which will be used as a command source on the server as a router configuration control. This system can also remotely use a smartphone so that it can be seen whether the configuration is running or system error. With this IoT-b

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Zimin, Andrey. "Formalization and Automation of Post-NGN Communication Network Testing Processes." Telecom IT 12, no. 2 (2024): 16–24. https://doi.org/10.31854/2307-1303-2024-12-2-16-24.

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Problem statement. The development and complication of the architecture of communication networks, protocols and scenarios for the interaction of various network elements, as a result, entails the development of means for testing communication networks. The aim of the work is to review the evolution of abstract tools and mathematical models of communication network testing tools as these networks evolve. The method used is the specifications of test scenarios in the language of MSC message sequence diagrams for testing 3G networks and 5G networks (network slices, new network elements. The scie

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Ilichev, V. Yu, E. A. Yurik, and M. E. Smirnov. "NETWORK STRUCTURE TOPOLOGY VISUALIZATION AUTOMATION." Научное обозрение. Технические науки (Scientific Review. Technical Sciences), no. 3 2022 (2022): 42–46. http://dx.doi.org/10.17513/srts.1399.

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Yadav, Shubham. "Research Paper on Network Automation." International Journal for Research in Applied Science and Engineering Technology 7, no. 4 (2019): 1446–50. http://dx.doi.org/10.22214/ijraset.2019.4261.

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Parizi, Mohammad Shahabeddini, and Agnieszka Radziwon. "Network-based automation for SMEs." International Journal of Business and Globalisation 18, no. 1 (2017): 58. http://dx.doi.org/10.1504/ijbg.2017.081027.

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Radziwon, Agnieszka, and Mohammad Shahabeddini Parizi. "Network-based automation for SMEs." International Journal of Business and Globalisation 18, no. 1 (2017): 58. http://dx.doi.org/10.1504/ijbg.2017.10001188.

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Mauboy, Luis Geraldo, and Theophilus Wellem. "Studi Perbandingan Library Untuk Implementasi Network Automation Menggunakan Paramiko Dan Netmiko Pada Router Mikrotik." JURIKOM (Jurnal Riset Komputer) 9, no. 4 (2022): 790. http://dx.doi.org/10.30865/jurikom.v9i4.4420.

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In recent years, network automation has emerged as a solution to the impracticality of manually configuring network devices by network administrators. By implementing network automation, network administrators can configure and manage network devices automatically using scripts or software that is run from one of the hosts or servers in the network. This paper aims to conduct a comparative study through the implementation of cases for network automation. Four scenarios are taken as examples for the implementation of network automation, among others, static routing, dynamic routing, network add

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Balzer, D., Th Werner, and R. Messerschmidt. "Public Network and Telecontrol Concepts in Virtual Automation Networks." IFAC Proceedings Volumes 41, no. 2 (2008): 13988–92. http://dx.doi.org/10.3182/20080706-5-kr-1001.02368.

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Chugulu, Godfrey. "Hybrid Communication Architecture Based on Hierarchical Computing for Low Voltage Power Network Automation in Developing Countries." Journal of ICT Systems 2, no. 2 (2024): 81–106. https://doi.org/10.56279/jicts.v2i2.122.

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Utility companies in developing countries, such as Tanzania, have made significant advancements in automating the generation, transmission, and primary distribution segments of their electrical grids. However, automation in the Low Voltage Power Network (LVPN) remains minimal and largely unmonitored, leading to manual fault management that results in losses and inconveniences for both utilities and customers. Effective Smart Grid (SG) infrastructure relies on seamless communication between end-devices and controlling systems to ensure timely execution of critical applications. Key SG applicati

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Settle, Brett, David Otasek, John H. Morris, and Barry Demchak. "Copycat Layout: Network layout alignment via Cytoscape Automation." F1000Research 7 (June 21, 2018): 822. http://dx.doi.org/10.12688/f1000research.15144.1.

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The copycatLayout app is a network-based visual differential analysis tool that improves upon the existing layoutSaver app and is delivered pre-installed with Cytoscape, beginning with v3.6.0. LayoutSaver cloned a network layout by mapping node locations from one network to another based on node attribute values, but failed to clone view scale and location, and provided no means of identifying which nodes were successfully mapped between networks. Copycat addresses these issues and provides additional layout options. With the advent of Cytoscape Automation (packaged in Cytoscape v3.6.0), resea

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Settle, Brett, David Otasek, John H. Morris, and Barry Demchak. "Copycat Layout: Network layout alignment via Cytoscape Automation." F1000Research 7 (August 10, 2018): 822. http://dx.doi.org/10.12688/f1000research.15144.2.

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The copycatLayout app is a network-based visual differential analysis tool that improves upon the existing layoutSaver app and is delivered pre-installed with Cytoscape, beginning with v3.6.0. LayoutSaver cloned a network layout by mapping node locations from one network to another based on node attribute values, but failed to clone view scale and location, and provided no means of identifying which nodes were successfully mapped between networks. Copycat addresses these issues and provides additional layout options. With the advent of Cytoscape Automation (packaged in Cytoscape v3.6.0), resea

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Klüger, Peter. "IDA - Interface for Distributed Automation Standardization of the Automation Network." IFAC Proceedings Volumes 33, no. 27 (2000): 11–14. http://dx.doi.org/10.1016/s1474-6670(17)37898-9.

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YAMAZAKI, Shinichi, and Masato KOBAYASHI. "Overview on Office Automation in Information Network System(Office Automation)." Journal of the Society of Mechanical Engineers 89, no. 808 (1986): 279–85. http://dx.doi.org/10.1299/jsmemag.89.808_279.

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Ahmed, Khandakar, Jan Blech, Mark Gregory, and Heinz Schmidt. "Software Defined Networks in Industrial Automation." Journal of Sensor and Actuator Networks 7, no. 3 (2018): 33. http://dx.doi.org/10.3390/jsan7030033.

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Trends such as the Industrial Internet of Things and Industry 4.0 have increased the need to use new and innovative network technologies in industrial automation. The growth of industrial automation communications is an outcome of the shift to harness the productivity and efficiency of manufacturing and process automation with a minimum of human intervention. Due to the ongoing evolution of industrial networks from Fieldbus technologies to Ethernet, a new opportunity has emerged to harness the benefits of Software Defined Networking (SDN). In this paper, we provide a brief overview of SDN in t

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Patil, K. D., Liladhar Gaikwad, Sujit Bhoite, Aditya Tajane, and D. D. Kulkarni. "Home Automation Using AI and IoT." Journal of Communication Engineering and VLSI Design 2, no. 1 (2024): 16–19. http://dx.doi.org/10.48001/jocevd.2024.2116-19.

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The IoT network's massive data flows and storage can be easily managed with AI. IoT is currently growing more and more popular because to the development of high-speed internet networks and several cutting-edge sensors that can be incorporated into microcontrollers. The data that is now flowing across the internet includes user data that is sent and received from workstations as well as sensor data. Fewer data may really be experiencing challenges on the storage side, latency, channels limitation, and suffocation inside the networks due to the increase in the number of workstations and numerou

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Shekar, Vinay C., Sayeed Ur Rahman, Srinivas Vishal Bhat DB, Abdul Mateen, and Ranjitha A.S. "Enhanced Network Security for IoT based Home Automation System." International Journal of Emerging Research in Management and Technology 6, no. 6 (2018): 278. http://dx.doi.org/10.23956/ijermt.v6i6.282.

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Advancement in automation technology has led to automation in many specific fields which has made life simpler and easier in all aspects. Where in the rise of Internet of Things (IoT) is taking advantage of the evolving automation technology, once such field in which the IoT is taking advantage of automation technology is Home Automation (HA). IoT for home automation is used in order to control home appliances such as lights, ovens, refrigerators, fans etc., In this project we present a home automation system with the help of Raspberry Pi added to which we provide enhanced network security to

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Zhou, Xue Song, Zhao Hao Hou, and You Jie Ma. "Overview of Distribution Network Automation Technology." Advanced Materials Research 811 (September 2013): 631–34. http://dx.doi.org/10.4028/www.scientific.net/amr.811.631.

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This paper proposes a general overview of distribution network automation technology. With the continuous development of society and economy, the distribution network automation has become the trend and developing direction of electric power system. As the end part of the electric power system, the distribution network is directly connected to the consumers and plays a vital role in improving the quality and reliability of power supply. In order to provide reference for improving the reliability of distribution network and to speed up the development of distribution network automation, this pa

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Akem, Aristide Tanyi-Jong. "User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks." ACM SIGMETRICS Performance Evaluation Review 52, no. 3 (2025): 15–18. https://doi.org/10.1145/3712170.3712177.

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In the last decade, the complexity of networks has increased significantly to accommodate the rise of innovative applications. This growing complexity has rendered traditional human-in-the-loop network management approaches inadequate, necessitating greater automation and flexibility in managing these networks. The introduction of Software- Defined Networking (SDN) with a programmable control plane marked a major advancement in this direction, enabling a wide range of network automation applications to be executed within the SDN control plane.

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Khatri, Marzook. "Network Amelioration, AI Automation and Future Integration in Wireless Networks." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 2607–13. http://dx.doi.org/10.22214/ijraset.2021.37835.

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Abstract: The deployment of 5G mobile communication networks is just getting started right now. There are numerous technologies available today, each capable of fulfilling activities such as enabling voice traffic via voice over IP (VoIP), providing broadband data access in mobile environments, and so on. However, there is a pressing need to implement technology that can bring all of these systems together into a single unified system. Because it is all about smoothly integrating terminals, networks, and applications, 8G presents a solution to this dilemma. In this work, an attempt is made to

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Thangaraja, M., K. Suresh Manic, and S. Uma. "Industrial Automation Using Wireless Mesh Network." Applied Mechanics and Materials 367 (August 2013): 417–21. http://dx.doi.org/10.4028/www.scientific.net/amm.367.417.

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The use of wireless technology in industrial automation offers a number of potential benefits, from the obvious cost reduction brought about by the elimination of wiring to the availability of better plant information, improved productivity and better asset management. However, its practical implementation faces a number of challenges: lack of a universally agreed standard, security, noisy environment, reliability. Since there is no IEEE standard for using wireless technology in industrial automation it is not possible to use the conventional industrial automation system. We also need better t

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Zhou, Geng Lie, Chi Bing Hu, Ya Zhou Wang, and Juan Wen Xie. "Application and Integration of Control Network and Information Network." Advanced Materials Research 875-877 (February 2014): 2275–79. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.2275.

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Enterprise integrated automation is the general trend of industrial control development. The combination of control network and information network provides comprehensive information services for enterprise as production information, production control, planning decisions and sales management as well. The industrial control network and information network integration can realize the information and resources sharing among the enterprises networks and further improve the enterprises informationization and integrated automation level so as to achieve the situation that the enterprise production

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Alfaresa, Yuansa, Bongga Arifwidodo, and Fauza Khair. "Automate IGP and EGP Routing Protocol Configuration using a Network Automation Library." Jurnal Online Informatika 8, no. 2 (2023): 222–31. http://dx.doi.org/10.15575/join.v8i2.1157.

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Data communication is sending data from client to client through a computer network. The increasing use of data communication makes computer networks more complex. Complex computer networks make it difficult for network administrators to configure them, especially routing protocol configuration. Network administrators are in charge of configuring routing protocols and managing networks. In addition, the more devices on the network, the greater the chance of human error from the administrator. Therefore, network automation is one solution that helps network administrators overcome this. This st

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Jerome, J. "Efficient Reactive Power Compensation Algorithm for Distribution Network." ASEAN Journal on Science and Technology for Development 20, no. 3&4 (2017): 373–84. http://dx.doi.org/10.29037/ajstd.358.

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The use of automation and energy efficient equipment with electronic control would greatly improve industrial production. These new devices are more sensitive to supply voltage deviation and the characteristics of the power system that was previously ignored are now very important. Hence the benefits of distribution automation have been widely acknowledged in recent years. This paper proposes an efficient load flow solution technique extended to find optimum location for reactive power compensation and network reconfiguration for planning and day-to-day operation of distribution networks. This

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Ahuja, Gaurav. "Network automation effective tool for DSML." Delhi Business Review 11, no. 1 (2010): 117–18. http://dx.doi.org/10.51768/dbr.v11i1.111201010.

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Warriner, P., and K. Z. Karam. "NUDAN-a multifunctional home automation network." IEEE Transactions on Consumer Electronics 44, no. 2 (1998): 360–69. http://dx.doi.org/10.1109/30.681951.

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KORADE, TUSHAR C., and DR A. A. SHINDE. "Wireless Sensor Network for Greenhouse Automation." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 3, no. 7 (2014): 10647–53. http://dx.doi.org/10.15662/ijareeie.2014.0307052.

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