OPNET IoT Simulation

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

ISBN: 9813291699
ISBN 13: 9789813291690
Autor: Chen, Min/Miao, Yiming/Humar, Iztok
Verlag: Springer Verlag GmbH
Umfang: xxi, 674 S., 84 s/w Illustr., 414 farbige Illustr., 674 p. 498 illus., 414 illus. in color.
Erscheinungsdatum: 08.10.2019
Auflage: 1/2019
Produktform: Gebunden/Hardback
Einband: GEB

This is the first book to provide in-depth and comprehensive information on IoT network simulation, supported by the OPNET tool. In addition, it addresses IoT simulation in general, not limited to OPNET. The authors provide rich OPNET IoT simulation codes, together with detailed explanations of the model’s functionalities. These codes and the shared model can guide readers while developing their own research. The book addresses various types of the Internet of Things (IoT), including human-centric IoT, green IoT, Narrow band IoT, Smart IoT, and IoT-Cloud integration. The OPNET IoT simulation introduced here provides a comprehensive platform for simulating the above-mentioned IoT systems. The book also offers a detailed introduction to OPNET semi-physical simulation, a technology that can be used to seamlessly connect the simulated IoT and practical cloud. On the basis of this „IoT-Cloud integration“ semi-physical simulation environment, various smart IoT applications can be realized.

Artikelnummer: 7702691 Kategorie:

Beschreibung

Autorenporträt

Min Chen has been a Full Professor at the School of Computer Science and Technology, Huazhong University of Science and Technology (HUST), since 2012. He is also director of the Embedded and Pervasive Computing (EPIC) Lab at HUST, and Chair of the IEEE Computer Society (CS) Special Technical Community (STC) on Big Data. He previously served as an Assistant Professor at Seoul National University (SNU) and as a Postdoctoral Fellow at the University of British Columbia (UBC). He serves as editor or associate editor for a broad range of journals, and has more than 300 paper publications, including over 200 SCI papers, 80 IEEE papers, 23 ESI highly cited papers, nine ESI hot papers and eight books to his credit. His books include: Big Data: Related Technologies, Challenges and Future Prospects (2014), OPNET IoT Simulation (2015), Big Data Inspiration (2015), 5G Software Defined Networks (2016), Cloud Based 5G Wireless Networks (2016), Introduction to Cognitive Computing (2017), Big Data Analytics for Cloud/IoT and Cognitive Computing (2017), and Cognitive Computing and Deep Learning (2018). He has been an IEEE Senior Member since 2009. He received the Best Paper Award from QShine 2008, IEEE ICC 2012, ICST Industrial IoT 2016, and IEEE IWCMC 2016. His research focuses on cyber physical systems, IoT sensing, 5G networks, mobile cloud computing, body area networks, emotion communications and robotics, etc. Yiming Miao received her B.Sc. from the College of Computer Science and Technology, QingHai University, Xining, China in 2016. Currently, she is a Ph.D. candidate at the School of Computer Science and Technology, Huazhong University of Science and Technology (HUST). She has published 12 papers, including five as first author. Her research interests include IoT sensing, big data in healthcare, emotion-aware computing, etc. Iztok Humar received his Ph.D. degrees in Telecommunications and Information Management from the University of Ljubljana, Slovenia, in 2007 and 2009, respectively. He is currently an Associate Professor at the same university, where he lectures on the design, management, and modeling of telecommunications networks. His main research topics include the measurement and modeling of network loads and energy efficiency. Dr. Humar has been an IEEE Senior Member since 2010. He is an editor for KSII Transactions on Internet and Information Systems and a guest editor for IEEE Network, IEEE Access, and Future Generation Computer Systems.

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