Ant Algorithms for Next Generation Networks Optimization : Infrastructure, Services and Security

Dac-Nhuong Le

ISBN 10: 3330044500 / ISBN 13: 9783330044500

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Network optimization is fundamental issue in the several fields, including applied mathematics, computer science, engineering, management, and operations research. This book will be presented A novel Ant Colony Optimization algorithm for multi-objectives optimal of capacity expansion in Next Generation Wireless Network. Assessed the impact of the algorithm's parameters to the execution time and the objective function; a novel Max-Min Ant System algorithm for optimal resource allocation to service classes support QoS requirements. Assessed the impact of the service's parameters to the objective function. A novel Max-Min Ant System algorithm to optimizing QoS for multimedia services with multi-flow resource contrainted. A solution to prevent DDoS attacks by the control UDP packets based on private security policy is set on the router controlled.

Seller Inventory # 9783330044500

Bibliographic Details

• Title: Ant Algorithms for Next Generation Networks Optimization : Infrastructure, Services and Security
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 3330044500
• ISBN 13: 9783330044500
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 15D millimeters 220 millimeters width by 150 millimeters height by 15 millimeters depth
• Weight: 387 grams

About this title

Synopsis

Network optimization is fundamental issue in the several fields, including applied mathematics, computer science, engineering, management, and operations research. This book will be presented A novel Ant Colony Optimization algorithm for multi-objectives optimal of capacity expansion in Next Generation Wireless Network. Assessed the impact of the algorithm’s parameters to the execution time and the objective function; a novel Max-Min Ant System algorithm for optimal resource allocation to service classes support QoS requirements. Assessed the impact of the service’s parameters to the objective function. A novel Max-Min Ant System algorithm to optimizing QoS for multimedia services with multi-flow resource contrainted. A solution to prevent DDoS attacks by the control UDP packets based on private security policy is set on the router controlled.

About the Author

Dac-Nhuong Le (Lê Đắc Nhường) is Ph.D in Computer Science, Deputy-Head of Faculty of Information Technology, Haiphong University, Vietnam. Presently, he is also the Deputy-Head of Department of Educational Testing and Quality Assurance, Vice-Director of Information Technology Apply Center in the same university. He is a research scientist of Research and Development Center of Visualization & Simulation in (CSV), Duytan University, Danang, Vietnam.
He has a total academic teaching experience of 10 years with many publications in reputed international conferences, journals and online book chapter contributions. His area of research include: evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing and image processing in biomedical.
His core work in network security, wireless, soft computing and mobile computing. Recently, he has been the technique program committee, the technique reviews, the track chair for international conferences: FICTA 2014, CSI 2014, IC4SD 2015, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, ICDECT 2016, IUKM 2016, INDIA 2017 under Springer-ASIC/LNAI Series. Presently, he is serving in the editorial board of international journals under AIRCC Publishing Corporation, Wireilla Scientific Publications.