Node-to-Node Approaching in Wireless Mesh Connectivity

Madhusudan Singh

ISBN 10: 9811306737 / ISBN 13: 9789811306730

Published by Springer Nature Singapore, Springer Nature Singapore, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book highlights routing protocols for wireless mesh networks (WMNs; IEEE 802.11s). It provides an overview of the wireless networks (history, MANET, family of IEEE 802.11, WMNS, etc.) and routing protocols, such as AODV, DSR, OLSR, etc, and also highlights two resolutions of routing protocols with respect to end-to-end delay, packet delivery ratio and routing overhead in WMNs. Wireless mesh networks have become a hot topic for researcher into the deployment of wireless networks, and they represents the connectivity of mesh networking in IEEE 802.11 amendment in static and ad-hoc networks. Moreover, WMNs have numerous attractive features, such as highly reliable connectivity, easy deployment, self-healing, self-configuring, and flexible network expansion. The book describes two routing mechanisms: novel cluster-based routing protocols (NCBRP), and decentralized hybrid wireless mesh protocol (DHWMP).

Seller Inventory # 9789811306730

Bibliographic Details

• Title: Node-to-Node Approaching in Wireless Mesh Connectivity
• Publisher: Springer Nature Singapore, Springer Nature Singapore
• Publication Date: 2018
• Language: English
• ISBN 10: 9811306737
• ISBN 13: 9789811306730
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 6D millimeters 235 millimeters width by 155 millimeters height by 6 millimeters depth
• Weight: 143 grams

About this title

Synopsis

This book highlights routing protocols for wireless mesh networks (WMNs; IEEE 802.11s). It provides an overview of the wireless networks (history, MANET, family of IEEE 802.11, WMNS, etc.) and routing protocols, such as AODV, DSR, OLSR, etc, and also highlights two resolutions of routing protocols with respect to end-to-end delay, packet delivery ratio and routing overhead in WMNs. Wireless mesh networks have become a hot topic for researcher into the deployment of wireless networks, and they represents the connectivity of mesh networking in IEEE 802.11 amendment in static and ad-hoc networks. Moreover, WMNs have numerous attractive features, such as highly reliable connectivity, easy deployment, self-healing, self-configuring, and flexible network expansion. The book describes two routing mechanisms: novel cluster-based routing protocols (NCBRP), and decentralized hybrid wireless mesh protocol (DHWMP).

About the Author

Madhusudan Singh (SMIEEE) is currently working as Assistant Professor at department of Technology Studies, Endicott College of International Studies in Woosong University, Daejeon, and also guest research professor at Seamless Transportation Lab at Yonsei University, Korea. Prior, he has worked as Research Professor at Yonsei Institute of Convergence Technology, Yonsei University (2016, June – Feb 2018). He has also worked as Senior Engineer at Research and Development department of Samsung Display, Yongin-Si, South Korea.

He has received his Ph.D. degree in the Dept. of Ubiquitous IT, from Dongseo University (DSU) (Busan, South Korea). He has completed dual Master's M.Tech. (Master of Technology) in Dept. of IT with the specialization in Software Engineering from Indian Institute of Information Technology-Allahabad(IIIT-A), India and MS in the Dept. of Computer Science from Uttar Pradesh (State) Technical University(UPTU), Lucknow, India. He completed his BS degree is the Dept. of Computer Applications from Purvanchal University, India.

Currently, he is Senior Member of IEEE (SMIEEE) and member of ACM, IEEE Standard, IEEE Blockchain, and many more research and scientific organizations. He is also associated as Editor/reviewer/TPC member multiple International journals/conferences. He has published more than 50+ refereed research articles, 9+ International Patents, and delivered 15+ technical talks as speakers. His fields of research are Wireless Networks, Cyber Security, Blockchain Technology, Internet of Things, Machine Learning, Software Engineering, and Computer Vision.