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Robustness Optimization for IoT Topology by Tie Qiu (English) Hardcover Book

Description: Robustness Optimization for IoT Topology by Tie Qiu, Ning Chen, Songwei Zhang Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description In this context, this book examines the optimization schemes for topology robustness in the IoT, helping readers to construct a robustness optimization framework, from self-organizing to intelligent networking.The book provides the relevant theoretical framework and the latest empirical research on robustness optimization of IoT topology. Publisher Description The IoT topology defines the way various components communicate with each other within a network. Topologies can vary greatly in terms of security, power consumption, cost, and complexity. Optimizing the IoT topology for different applications and requirements can help to boost the networks performance and save costs. More importantly, optimizing the topology robustness can ensure security and prevent network failure at the foundation level. In this context, this book examines the optimization schemes for topology robustness in the IoT, helping readers to construct a robustness optimization framework, from self-organizing to intelligent networking.The book provides the relevant theoretical framework and the latest empirical research on robustness optimization of IoT topology. Starting with the self-organization of networks, it gradually moves to genetic evolution. It also discusses the application of neural networks and reinforcement learning to endow the node with self-learning ability to allow intelligent networking.This book is intended for students, practitioners, industry professionals, and researchers who are eager to comprehend the vulnerabilities of IoT topology. It helps them to master the research framework for IoT topology robustness optimization and to build more efficient and reliable IoT topologies in their industry. Author Biography Dr. Tie Qiu is currently a full professor in the School of Computer Science and Technology at Tianjin University, China. Prior to this, he was an assistant professor and associate professor in the School of Software at Dalian University of Technology. He was a visiting professor in the Department of Electrical and Computer Engineering at Iowa State University in the USA (2014–2015). He serves as an associate editor of IEEE Transactions on Network Science and Engineering (TNSE) and IEEE Transactions on Systems, Man, and Cybernetics: Systems; area editor of Ad Hoc Networks (Elsevier); associate editor of Computers and Electrical Engineering (Elsevier) and Human-centric Computing and Information Sciences (Springer); and guest editor of Future Generation Computer Systems. He serves as general chair, program chair, workshop chair, publicity chair, publication chair, and TPC member of a number of international conferences. He has authored/co-authored 9 books and over 150 scientific papers in international journals and conference proceedings, such as IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Industrial Informatics, IEEE Communications Surveys & Tutorials, IEEE Communications, INFOCOM, and GLOBECOM. His 10 papers are listed as ESI highly cited papers. He has contributed to the development of 4 copyrighted software systems and holds 16 patents. He is a distinguished member of the China Computer Federation (CCF) and a senior member of IEEE and ACM.Ning Chen is a PhD candidate at Tianjin University. His research focuses on the Internet of Things, including robustness optimization, wireless sensor networks, artificial intelligence, big data analysis, smart city, and Internet of Vehicles. He has published more than 10 papers in leading journals, including two ESI highly cited papers.Mr. Songwei Zhang is currently a technical engineer at Tianjin University. He has extensive experience in the robustness optimization of Internet of Things topology. Details ISBN 981169608X ISBN-13 9789811696084 Title Robustness Optimization for IoT Topology Author Tie Qiu, Ning Chen, Songwei Zhang Format Hardcover Year 2022 Pages 214 Edition 1st Publisher Springer Verlag, Singapore GE_Item_ID:140481467; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Robustness Optimization for IoT Topology by Tie Qiu (English) Hardcover Book

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9789811696084

Book Title: Robustness Optimization for IoT Topology

Number of Pages: Xiv, 214 Pages

Publication Name: Robustness Optimization for Iot Topology

Language: English

Publisher: Springer

Subject: Systems Architecture / General, Engineering (General), Intelligence (Ai) & Semantics, Networking / General

Publication Year: 2022

Type: Textbook

Item Weight: 18.1 Oz

Item Length: 9.3 in

Subject Area: Computers, Technology & Engineering

Author: Ning Chen, Songwei Zhang, Tie Qiu

Item Width: 6.1 in

Format: Hardcover

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