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Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks [Paperback]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  1032073284
  • ISBN-10:  1032073284
  • ISBN-13:  9781032073286
  • ISBN-13:  9781032073286
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  290
  • Pages:  290
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  1032073284-11-MPOD
  • SKU:  1032073284-11-MPOD
  • Item ID: 107076392
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Oct 10 to Oct 12
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
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.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.

Dr. Sanjoy Das is currently working as Professor Department of Computer Science, Indira Gandhi National Tribal University (A Central Government University), Amarkantak, M.P. (Manipur Campus)- India. He did his B. E. and M. Tech in Computer Science and Engineering. He has obtained his Ph.D. in Computer Science and Technology from School of Computer and Systems Sciences, Jawahlcò

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