OPNET IoT Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook OPNET IoT Simulation write by Min Chen. This book was released on 2019-09-17. OPNET IoT Simulation available in PDF, EPUB and Kindle. This is the first book offering an in-depth and comprehensive IoT network simulation, supported by OPNET tool. Furthermore, the book presents the simulations of IoT in general, not limited by OPNET. The authors provide rich OPNET IoT simulation codes, with detailed explanation regarding the functionalities of the model. These codes can facilitate readers’ fast implementation, and the shared model can guide readers through developing their own research. This book addresses various versions of Internet of Things (IoT), including human-centric IoT, green IoT, Narrow band IoT, Smart IoT, IoT-Cloud integration. The introduced OPNET IoT simulation provides a comprehensive platform to simulate above-mentioned IoT systems. Besides, this book introduces OPNET semi-physical simulation in detail. Based on this technology, simulated IoT and practical cloud are seamlessly connected with each other. On top of this “IoT-cloud-integration” semi-physical simulation environment, various smart IoT applications can be realized.
Wireless sensor networks protocols in IoT. A performance evaluation and comparison
Wireless sensor networks protocols in IoT. A performance evaluation and comparison - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Wireless sensor networks protocols in IoT. A performance evaluation and comparison write by Polycarp Yakoi. This book was released on 2021-02-02. Wireless sensor networks protocols in IoT. A performance evaluation and comparison available in PDF, EPUB and Kindle. Master's Thesis from the year 2018 in the subject Engineering - Computer Engineering, grade: 3.71, Cyprus International University, language: English, abstract: In this thesis, three Wireless Sensor Networks – Ad-hoc On-Demand Distance Vector, Dynamic Source routing protocol and Optimized Link State routing protocol have been simulated and compared in typical IoT scenarios. Their performance was evaluated using three performance metrics and then they were compared; the performance metrics are Routing Overhead, Average End to End Delay and Throughput. Different number of nodes with different percentages of mobile nodes were analyzed. Specifically, number of nodes analyzed were 20, 40, 60 and 70 with the number of mobile nodes 10, 15 and 20 using OPNET while with NS 3 20, 60 and 100 nodes were analyzed. For each of the number of nodes, all the number of mobile nodes were evaluated. The routing protocols were analyzed using the OPNET Simulation Software and NS-3and the environment size for the simulation was 1000m by 1000m. IoT has continue to grow bigger since from its inception. Many mobile devices are now available, the internet and its application have only grown bigger and better. As IoT is continually growing, so also is the complexity, as a result issues pertaining routing have also increased. Many researches have been made in attempt to proffer solutions that will either minimize or eliminate these routing issues. Different routing protocols have been designed with different specifications for different applications of the IoT. Also, attempts have been made to implement routing protocols of other types of networks in the IoT.
Networking Simulation for Intelligent Transportation Systems
Networking Simulation for Intelligent Transportation Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Networking Simulation for Intelligent Transportation Systems write by Benoit Hilt. This book was released on 2017-04-24. Networking Simulation for Intelligent Transportation Systems available in PDF, EPUB and Kindle. This book studies the simulation of wireless networking in the domain of Intelligent Transportation Systems (ITS) involving aircraft, railway and vehicular communication. On this subject, particular focus is placed on effective communication channels, mobility modeling, multi-technology simulation and global ITS simulation frameworks. Networking Simulation for Intelligent Transportation Systems addresses the mixing of IEEE802.11p and LTE into a dedicated simulation environment as well as the links between ITS and IoT; aeronautical mobility and VHD Data Link (VDL) simulation; virtual co-simulation for railway communication and control-command; realistic channel simulation, mobility modeling and autonomic simulation for VANET and quality metrics for VANET. The authors intend for this book to be as useful as possible to the reader as they provide examples of methods and tools for running realistic and reliable simulations in the domain of communications for ITS.
Simulation Tools and Techniques
Simulation Tools and Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Simulation Tools and Techniques write by Houbing Song. This book was released on 2021-04-26. Simulation Tools and Techniques available in PDF, EPUB and Kindle. This two-volume set constitutes the refereed post-conference proceedings of the 12th International Conference on Simulation Tools and Techniques, SIMUTools 2020, held in Guiyang, China, in August 2020. Due to COVID-19 pandemic the conference was held virtually. The 125 revised full papers were carefully selected from 354 submissions. The papers focus on simulation methods, simulation techniques, simulation software, simulation performance, modeling formalisms, simulation verification and widely used frameworks.
Big-Data Analytics for Cloud, IoT and Cognitive Computing
Big-Data Analytics for Cloud, IoT and Cognitive Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big-Data Analytics for Cloud, IoT and Cognitive Computing write by Kai Hwang. This book was released on 2017-08-14. Big-Data Analytics for Cloud, IoT and Cognitive Computing available in PDF, EPUB and Kindle. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.
