Cooperative adaptive cruise control (CACC) systems have the potential to increase traffic
throughput by allowing smaller headway between vehicles and moving vehicles safely in a …

Nowadays, wireless networks are witnessing several deployments in various extreme
environments where they suffer from different levels of link disruptions depending on the …

Deep learning can achieve higher accuracy than traditional machine learning algorithms in
a variety of machine learning tasks. Recently, privacy-preserving deep learning has drawn …

Abstract In Socially Aware Networks (SANs), nodes exhibit some degree of individual
selfishness and social selfishness because of their limited resources and the strength of …

Existing routing algorithms for Delay Tolerant Networks (DTNs) assume that nodes are
willing to forward packets for others. In the real world, however, most people are socially …

Delay tolerant networks (DTNs) may lack continuous network connectivity. Routing in DTNs
is thus challenging since it must handle network partitioning, long delays, and dynamic …

As nodes have limited resources in the socially aware networks, they will have strong selfish
behaviors, such as not forwarding messages and losing packets, which will lead to poor …

Abstract Delay Tolerant Networks (DTNs) have practical applications in various fields. DTNs
have been studied in-depth by many researchers and multiple high quality survey papers …

This article presents a comprehensive survey of routing protocols proposed for routing in
Vehicular Delay Tolerant Networks (VDTN) in vehicular environment. DTNs are utilized in …

Delay tolerant networks (DTNs) are characterized by high end-to-end latency, frequent
disconnection, and opportunistic communication over unreliable wireless links. In this paper …