In this PhD dissertation, we propose distributed adaptation mechanisms for connected
vehicles to deal with the connectivity challenges. To understand the system behavior of the …

In this paper, we propose a novel distributed cooperative sensing algorithm for connected
vehicles. The adaptive energy detection threshold, which is used to decide whether the …

We present the results of TV band sensing experiments performed in a suburban
environment in Iizuka, Japan. This work adds to our previous work in which we proposed to …

Abstract Inter Vehicle Communications (IVC) have the potential to significatively increase the
safety in our highways. In such communications, the quality and reliability of service …

The high mobility of vehicles and a crowded frequency spectrum result in fast-changing
channel conditions that make optimal wireless channel selection a challenging problem …

Wireless communication networks use link adaptation to select physical layer parameters
that optimize the transmission strategy as a function of the wireless channel realization. In …

Wireless vehicular networks have highly complex and dynamic channel state leading to a
challenging environment to maintain connectivity and/or achieve high levels of throughput …

In this paper, we propose a novel memory-enabled non-uniform sampling-based
bumblebee foraging algorithm (MEB) designed for optimal channel selection in a distributed …

Vehicular communication allows vehicles to communicate with each other without
connecting to a centralized infrastructure (ie, base station). Vehicular communication …

Channel congestion is one of the major challenges for deployment of collision avoidance
systems based on DSRC (Dedicated Short Range Communication) in large scale networks …