LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Cluster Based Distributed Service Discovery in Internet of Vehicle

Photo by belart84 from unsplash

As automobile sector is witnessing a paradigm shift from Internal Combustion Engine (ICE) based vehicles to smart electric vehicles, a new concept of connected vehicles has emerged that is able… Click to show full abstract

As automobile sector is witnessing a paradigm shift from Internal Combustion Engine (ICE) based vehicles to smart electric vehicles, a new concept of connected vehicles has emerged that is able to provide a number of services to its users. Internet of Vehicles has now transformed to an indispensable platform of information exchange among vehicles, city infrastructure, drivers and other connected entities. Due to highly dynamic nature of Internet of Vehicles, there is need of a dynamic service discovery infrastructure that can cater to Internet of Vehicle specific challenges. This paper is a step ahead in that direction to provide a distributed service discovery protocol that facilitates service discovery and service selection for Internet of Vehicles environment. We have proposed a clustering based service discovery approach that makes use of neighbor awareness to find neighboring vehicles. Proposed protocol has been validated by running extensive simulations and results show the improvement in terms of query success rate, transmission rate and transmission cost by a considerable margin. Keywords—Internet, Connected vehicles, Internet of Vehicles, Service discovery.

Keywords: internet vehicles; internet vehicle; service; service discovery

Journal Title: Journal of Communications Software and Systems
Year Published: 2021

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.