Energy-Efficient Underwater Wireless Communications and Networking

ISBN 10: 1799836401 ISBN 13: 9781799836407
Verlag: Engineering Science Reference, 2020
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Beschreibung

Beschreibung:

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers existing and future possibilities of the area as well as the current challenges presented in the implementation of underwater sensor networks. The book highlights a range of topics, including digital signal processing, underwater localization, and ac. Bestandsnummer des Verkäufers 448342416

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Inhaltsangabe:

Underwater wireless sensor networks (UWSN) are envisioned as an aquatic medium for a variety of applications including oceanographic data collection, disaster management or prevention, assisted navigation, attack protection, and pollution monitoring. Similar to terrestrial wireless sensor networks (WSN), UWSNs consist of sensor nodes that collect the information and pass it to a base station; however, researchers have to face many challenges in executing the network in an aquatic medium. Energy-Efficient Underwater Wireless Communications and Networking is a crucial reference source that covers existing and future possibilities of the area as well as the current challenges presented in the implementation of underwater sensor networks. While highlighting topics such as digital signal processing, underwater localization, and acoustic channel modeling, this publication is ideally designed for machine learning experts, IT specialists, government agencies, oceanic engineers, communication experts, researchers, academicians, students, and environmental agencies concerned with optimized data flow in communication network, securing assets, and mitigating security attacks.

Über die Autorinnen und Autoren: Nitin Goya l is working as an Associate Professor in the department of Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab. He is PhD in Computer Engineering from NIT Kurukshetra, in underwater wireless sensor networks (UWSN). He obtained his B.Tech in 2007 and M.Tech in 2009 from Computer Science and Engineering under Kurukshetra University. He worked on underwater wireless sensor network (UWSN), wireless sensor network (WSN), mobile ad-hoc network (MANET) etc. He is having around 11 years of teaching experience along with Academic work. He has published approximately 40 research papers in various International/National Journals, Books and Conferences out of which 6 are SCI, 4 are SCOPUS, 5 is SCOPUS indexed book chapter. Also he has attended 13 workshops and 3 FDP. He has guided 7 M.Tech candidates and 2 PhD candidates are in process. He has also delivered expert lecture on NS2, national level FDP on “Research and Innovation”. He is GATE and UGC-NET qualifier too. He is currently working in the area of machine learning in communication networks to solve some real world problems. Also he has 5 patents published and 2 project in DST. His research interests include MANET, FANET, UWSN and WSN. He is an active member of IEEE, CSI. He is the reviewer, TPC member, advisory board member, associate editor of many Conferences and Journals of repute.

Jasminder Kaur Sandhu is working at Deptt. of CSE, Chandigarh University, Punjab. She also served ass Assistant Professor, Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab. She is having an additional charge of First Information officer (FIO) – CURIN and Joint Editor of the Newsletter “Res Novae”. She is Ph.D. in Computer Science and Engineering from Thapar Institute of Engineering and Technology, Patiala. She completed her M.Tech. (CSE) securing top merit position at Punjabi University, Patiala. She is having approximately 10 years of research and teaching experience. She is an active reviewer of many reputed journals such as Springer International Journal of Machine Learning and Cybernetics, IEEE Access. She has to her credit more than 25 publications in reputed SCI-Indexed Journals and International Conferences. Her research interests include e-Waste Management, Machine Learning, Ensemble Modelling Artificial Intelligence, Soft Computing, Dependability Evaluation, Quality of Service, Wireless Sensor Networks, and Ad-Hoc Networks.

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Titel: Energy-Efficient Underwater Wireless ...
Verlag: Engineering Science Reference
Erscheinungsdatum: 2020
Einband: Gebunden
Zustand: New

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