Abstract

<h1>Mobile Inter-vehicular communication network is an ad hoc network that allows peer vehicles to share and receive data. The existing inter-vehicular communication approach uses data from a limited number of data sources located in distant areas. This leads to high latency caused by the short-range antennas used to connect the peers. Inter-vehicular networks are dynamic and self-organized networks that do not use any external infrastructure to send and receive data. Currently, inter-vehicular networks only exist as part of a hybrid system and hence there is a need for a faster inter-vehicular network which can function independently. In this study, we developed a model which uses the gossip algorithm to send and receive data. The results show that over time, in a peer-to-peer network, the distance to be covered and the delay time are reduced. In the current models, however, the delay and distance covered remain constant. The results show that a peer-to-peer model is faster.</h1><p> </p>

Highlights

  • The future is enigmatic but planning requires predictions of imminent conditions and needs, especially in the modern digital era of autonomous vehicles

  • A software development life cycle (SDLC) model was adopted to develop a mobile Inter-vehicular communication system based on gossip algorithms

  • Autonomous vehicles are safer than vehicles driven by humans

Read more

Summary

Introduction

The future is enigmatic but planning requires predictions of imminent conditions and needs, especially in the modern digital era of autonomous vehicles. Such technology might influence future driving behaviors, travelling activities, parking space due to the advent of digital cameras, smartphones, smart computers, smart communities and smart cities, making autonomous vehicles to be soon realistic and sufficiently reliable. The CEO of Google stated that their car collects and processes about 4000 Gigabytes of data per hour All this data ought to be received and processed in real-time to provide real-time updates of the virtual environment [2][26]

Objectives
Methods
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.