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  • Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks

    Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks by Das, Sanjoy; Rao, Ram Shringar; Das, Indrani;

    Series: Wireless Communications and Networking Technologies;

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      • Publisher's listprice GBP 45.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        21 971 Ft (20 925 Ft + 5% VAT)
      • Discount 20% (cc. 4 394 Ft off)
      • Discounted price 17 577 Ft (16 740 Ft + 5% VAT)

    21 971 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 7 October 2024

    • ISBN 9781032073286
    • Binding Paperback
    • No. of pages290 pages
    • Size 234x156 mm
    • Weight 440 g
    • Language English
    • Illustrations 89 Illustrations, black & white; 32 Halftones, black & white; 57 Line drawings, black & white; 48 Tables, black & white
    • 602

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    Short description:

    The reference text covers big data concept in cloud based Wireless Ad hoc network and machine learning approaches in a single volume. It will be an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering.

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    Long description:

    This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna.



    FEATURES





    • Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs)



    • Discusses use of machine learning and other computing techniques for enhancing performance of networks



    • Explains game theory-based vertical handoffs in heterogeneous wireless networks



    • Examines monitoring and surveillance of vehicles through the vehicular sensor network



    • Investigates theoretical approaches on software-defined VANET



    The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.

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    Table of Contents:

    1. Cloud-Based Underwater Ad-hoc Communication: Advances, Challenges and Future Scopes. 2. A Hybrid Cryptography Technique with Blockchain for Data Integrity and Confidentiality in Cloud Computing. 3. Fog Computing Environment in Flying Ad-hoc Networks: Concept, Framework, Challenges and Applications. 4. Wi-Fi Computing Network Empowers Wi-Fi Electrical Power Network. 5. Big-Data Analytics for Vehicular Edge Networks. 6. Impact of Various Parameters on Gauss Markov Mobility Model to Support QoS in MANET. 7. Heterogeneous Ad hoc Network Management: An Overview. 8. Deployment of the Biometrics-as-a-Service (BaaS)Design for the Internet of Biometric Things (IoBT) on the AWS Cloud. 9. A Comprehensive Survey of Geographical Routing and its Impact on Mobility Models in Multi-hop Wireless Networks. 10. Energy-aware Secure Routing in Wireless Sensor Network. 11. Deploying Trust-based E-Healthcare System using Blockchain-IoT in Wireless Networks. 12. Low-Cost Robust Service Overloading Fusion Model for Cloud Environments. 13. Load Balancing Based on Estimated Finish Time of Services. 14. Blockchain-enabled Smart Contract Optimization for Healthcare Monitoring Systems. 15. Interference mitigation using Cognitive Femtocell from 5G perspective.

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