Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Connected vehicles generate data, depend on fast-moving wireless links, and operate in traffic conditions that can change by the minute. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks brings together research on how cloud computing, data analysis, and vehicular ad-hoc networks can address the technical challenges behind intelligent transportation.

Edited by Ram Shringar Rao, Nanhay Singh, Omprakash Kaiwartya, and Sanjoy Das, this collection approaches the subject through contributed studies of network protocols, traffic systems, and computing models. Its appeal lies in that breadth: readers can encounter both the communication infrastructure and the transportation problems it is meant to support.

Where connected-vehicle research meets the road

The chapters explore topics including machine-learning methods for traffic-signal control, geocast routing, and the delivery of emergency messages in urban vehicular scenarios. Together, these subjects show how decisions about routing, data exchange, and traffic management connect within VANET research.

Protocols, performance, and network security

Several contributions focus on the behavior and design of communication networks: comparing routing approaches, examining vehicular delay-tolerant networks, considering software-defined VANETs, and assessing network security risk. This range gives technically minded readers different ways to think about reliability, message delivery, and the demands of mobile network environments.

Cloud and data across transportation systems

Cloud computing and big data analytics provide the volume’s central frame. Other topics represented in the contents include vehicle monitoring, wireless sensor networks, energy harvesting, and cloud-computing technologies. The collection therefore links network-level questions with the broader computing systems used to process and support connected-vehicle applications.

For readers working with VANETs and intelligent transport

This edited volume is most relevant to researchers, academics, students, engineers, and computing or transportation professionals looking for research perspectives on vehicular networks, cloud systems, routing, and intelligent transportation. Readers can approach it by topic, using its varied contributions to explore particular methods and problems in this evolving technical field.