41 research outputs found
Spatio-Temporal Motifs for Optimized Vehicle-to-Vehicle (V2V) Communications
Caching popular contents in vehicle-to-vehicle (V2V) communication networks
is expected to play an important role in road traffic management, the
realization of intelligent transportation systems (ITSs), and the delivery of
multimedia content across vehicles. However, for effective caching, the network
must dynamically choose the optimal set of cars that will cache popular content
and disseminate it in the entire network. However, most of the existing prior
art on V2V caching is restricted to cache placement that is solely based on
location and user demands and does not account for the large-scale
spatio-temporal variations in V2V communication networks. In contrast, in this
paper, a novel spatio-temporal caching strategy is proposed based on the notion
of temporal graph motifs that can capture spatio-temporal communication
patterns in V2V networks. It is shown that, by identifying such V2V motifs, the
network can find sub-optimal content placement strategies for effective content
dissemination across a vehicular network. Simulation results using real traces
from the city of Cologne show that the proposed approach can increase the
average data rate by for different network scenarios
Design of Ad Hoc Wireless Mesh Networks Formed by Unmanned Aerial Vehicles with Advanced Mechanical Automation
Ad hoc wireless mesh networks formed by unmanned aerial vehicles (UAVs)
equipped with wireless transceivers (access points (APs)) are increasingly
being touted as being able to provide a flexible "on-the-fly" communications
infrastructure that can collect and transmit sensor data from sensors in
remote, wilderness, or disaster-hit areas. Recent advances in the mechanical
automation of UAVs have resulted in separable APs and replaceable batteries
that can be carried by UAVs and placed at arbitrary locations in the field.
These advanced mechanized UAV mesh networks pose interesting questions in terms
of the design of the network architecture and the optimal UAV scheduling
algorithms. This paper studies a range of network architectures that depend on
the mechanized automation (AP separation and battery replacement) capabilities
of UAVs and proposes heuristic UAV scheduling algorithms for each network
architecture, which are benchmarked against optimal designs.Comment: 12 page