Future Intelligent Vehicular Technologies : First International Conference, Future 5V 2016, Porto, Portugal, September 15, 2016, Revised Selected Papers /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ferreira, Joaquim. (Editor), Alam, Muhammad. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 185
Subjects:
Table of Contents:
  • Enforcing Replica Determinism in the Road Side Units of Fault-Tolerant Vehicular Networks
  • A Deterministic MAC Protocol for Infrastructure to Vehicle Communications in Motorways
  • A proposal for an improved distributed MAC protocol for vehicular networks
  • Adaptive Contention Window Design to Minimize Synchronous Collisions in 802.11p Networks
  • Model Driven Architecture for Decentralized Software Defined VANETs
  • Data Rate Adaptation Strategy to Avoid Packet Loss in MANETs
  • Security and Applications of Vehicular Communication
  • Low-Cost Vehicle Driver Assistance System for Fatigue and Distraction Detection
  • Implementation of Security Services for Vehicular Communications
  • Performance Evaluation of SIMO Techniques in IEEE 802.11p
  • Wireless Power Transfer for Energy-Efficient Electric Vehicles
  • Automatic DDoS Detection and its Mitigation with combination of OpenFlow and sFlow
  • The Role of Vehicular Cloud Computing in Road Traffic Management: A Survey
  • Architecture Proposal for MCloud IoT
  • CoAP-based Request-Response Interaction Model for the Internet of Things
  • Performance Analysis of Vehicular Adhoc Network using different Highway Traffic Scenarios in Cloud Computing
  • Secure and Safe Surveillance System using Sensors Networks - Internet of Things
  • Challenges and Opportunities in Big Data and Cloud Computing
  • Applications and Challenges Faced By Internet of Things - A Survey
  • Cloud Computing Development Life Cycle Model (CCDLC)
  • Effective Use of Search Functionality inPakistan e-Government Websites
  • Mealy,Moore & Markov Mathematical Modelling Machines for Big Data
  • Education and Socio Economic Factors Impact on Earning for Pakistan- A Bigdata Analysis.