3,064 research outputs found
Real Time Wake Computations using Lattice Boltzmann Method on Many Integrated Core Processors
This paper puts forward an efficient Lattice Boltzmann method for use as a wake simulator suitable for
real-time environments. The method is limited to low speed incompressible flow but is very efficient and
can be used to compute flows âon the flyâ. In particular, many-core machines allow for the method to be
used with the need of very expensive parallel clusters. Results are shown here for flows around
cylinders and simple ship shapes
Real Time Wake Computations using Lattice Boltzmann Method on Many Integrated Core Processors
This paper puts forward an efficient Lattice Boltzmann method for use as a wake simulator suitable for
real-time environments. The method is limited to low speed incompressible flow but is very efficient and
can be used to compute flows âon the flyâ. In particular, many-core machines allow for the method to be
used with the need of very expensive parallel clusters. Results are shown here for flows around
cylinders and simple ship shapes
Many-to-Many Matching Games for Proactive Social-Caching in Wireless Small Cell Networks
In this paper, we address the caching problem in small cell networks from a
game theoretic point of view. In particular, we formulate the caching problem
as a many-to-many matching game between small base stations and service
providers' servers. The servers store a set of videos and aim to cache these
videos at the small base stations in order to reduce the experienced delay by
the end-users. On the other hand, small base stations cache the videos
according to their local popularity, so as to reduce the load on the backhaul
links. We propose a new matching algorithm for the many-to-many problem and
prove that it reaches a pairwise stable outcome. Simulation results show that
the number of satisfied requests by the small base stations in the proposed
caching algorithm can reach up to three times the satisfaction of a random
caching policy. Moreover, the expected download time of all the videos can be
reduced significantly
A Marketplace for Efficient and Secure Caching for IoT Applications in 5G Networks
As the communication industry is progressing towards
fifth generation (5G) of cellular networks, the traffic it
carries is also shifting from high data rate traffic from cellular
users to a mixture of high data rate and low data rate traffic
from Internet of Things (IoT) applications. Moreover, the need
to efficiently access Internet data is also increasing across 5G
networks. Caching contents at the network edge is considered
as a promising approach to reduce the delivery time. In this
paper, we propose a marketplace for providing a number of
caching options for a broad range of applications. In addition,
we propose a security scheme to secure the caching contents
with a simultaneous potential of reducing the duplicate contents
from the caching server by dividing a file into smaller chunks.
We model different caching scenarios in NS-3 and present the
performance evaluation of our proposal in terms of latency and
throughput gains for various chunk sizes
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Client-server-based LBS architecture: A novel positioning module for improved positioning performance
Permission to distribute obtained from publisher.This work presents a new efficient positioning module that operates over client-server LBS architectures. The
aim of the proposed module is to fulfil the position information requirements for LBS pedestrian applications
by ensuring the availability of reliable, highly accurate and precise position solutions based on GPS single
frequency (L1) positioning service. The positioning module operates at both LBS architecture sides; the client
(mobile device), and the server (positioning server). At the server side, the positioning module is responsible
for correcting userâs location information based on WADGPS corrections. In addition, at the mobile side,
the positioning module is continually in charge for monitoring the integrity and available of the position
solutions as well as managing the communication with the server. The integrity monitoring was based on
EGNOS integrity methods. A prototype of the proposed module was developed and used in experimental trials
to evaluate the efficiency of the module in terms of the achieved positioning performance. The positioning
module was capable of achieving a horizontal accuracy of less than 2 meters with a 95% confidence level
with integrity improvement of more than 30% from existing GPS/EGNOS services
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