With the recent advancement of vehicular ad-hoc networks (VANETs) or internet vehicles (IoVs), are getting more powerful and generating huge amount traffic data, including computation-intensive delay-sensitive applications in edge computing (VEC) networks, which difficult to be processed by an individual node. These resource-demanding tasks can transferred another node with idle resources for processing. Due high mobility limited nodes, it is challenging execute lengthy until completion...

In the past few years, industry and academia have been working hard to establish standardise vehicle-to-everything (V2X) communications, which is one of vital emerging services for next generation wireless networks. Therewith, control radio resource properly with balanced implementation complexity, a full-duplex V2V discovery mechanism in 5G-V2X network based on random backoff procedure proposed better utilize resources nearby vehicles their links. The main aims are reduce latency, improve...

Over the past few years, industry and academia have worked hard to develop standardize vehicle-to-everything (V2X) communication, which is one of important emerging service for next-generation wireless networks (5G). Thereby, manage radio resource efficiently with realistic execution complexity, a vehicle density based two-stage management scheme 5G-V2X network presented in this paper, whose key targets are reduce latency, improve throughput guarantee reliability V2V-UEs V2N-UEs....

The increase of mobile applications in the internet vehicles (IoVs), necessitates demand for higher computation capabilities. Vehicles can transfer related to another nodes processing. In this paper, an efficient task offloading scheme cellular vehicle everything (C-V2X) is proposed improve reliability and latency. are grouped into clusters, where need assistance their other processing through (V2V) link, or edge computing (MEC) server via network (V2N) link. Matching theory exploited...

With the recent advancement in intelligent transportation systems (ITS), vehicular network has become major force content dissemination, and it is essential to improve efficiency delivery quality service (QoS). The rapid growth data traffic limited resources have created a bottleneck dissemination. In addition, demand of high rate, low latency user's satisfaction on make dissemination more challenging. To address above problem which involves vehicle (V2V) peer discovery resource allocation,...

The vehicular networks are envisioned to support the future intelligent transportation system (ITS). Content dissemination is vital achieving efficient data traffic management and real-time decision-making. Limited resources constrain vehicles edge network, but vehicle-to-vehicle (V2V) communication technology can conventional cellular link in content dissemination. To explore full benefit of V2V, relay be selected direct V2V links situations where not feasible due distance or shadowing....

The advancements in vehicular networks and applications brings about a huge demand for vehicles to process computation-intensive tasks such as machine learning (ML) algorithms. There is need an efficient solution meet up these challenges. Federated (FL), which distributed does not require the transmission of dataset server, more suitable resource constraint edge network. However, all will participate FL training without any reward. This paper proposes incentive-based federated scheme...

With advancement in technology, many individuals are getting familiar with the internet a lot of users seek for information on World Wide Web (WWW) using variety search engines. This research work evaluates retrieval effectiveness Google, Yahoo, Bing, AOL and Baidu. Precision, relative recall response time were considered this evaluation, total 24 queries sampled based queries, navigational transactional queries. They categorized into single word double sentence alphanumeric Finally overall...