Results 1 to 10 of about 732,066 (193)

Controlling P2P File-Sharing Networks’ Traffic

open access: hybridNetwork Protocols and Algorithms, 2011
Since the appearance of Peer-To-Peer (P2P) file-sharing networks some time ago, many Internet users have chosen this technology to share and search programs, videos, music, documents, etc. The total number of P2P file-sharing users has been increasing and decreasing in the last decade depending on the creation or end of some well known P2P file-sharing
Miguel García   +3 more
  +8 more sources

A rolling-horizon quadratic-programming approach to the signal control problem in large-scale congested urban road networks [PDF]

open access: yes, 2010
The paper investigates the efficiency of a recently developed signal control methodology, which offers a computationally feasible technique for real-time network-wide signal control in large-scale urban traffic networks and is applicable also under ...
A. Kouvelas   +25 more
core   +1 more source

Statistical Traffic State Analysis in Large-scale Transportation Networks Using Locality-Preserving Non-negative Matrix Factorization [PDF]

open access: yes, 2012
Statistical traffic data analysis is a hot topic in traffic management and control. In this field, current research progresses focus on analyzing traffic flows of individual links or local regions in a transportation network.
Han, Yufei, Moutarde, Fabien
core   +5 more sources

Isolating SDN Control Traffic with Layer-2 Slicing in 6TiSCH Industrial IoT Networks [PDF]

open access: yes, 2017
Recent standardization efforts in IEEE 802.15.4-2015 Time Scheduled Channel Hopping (TSCH) and the IETF 6TiSCH Working Group (WG), aim to provide deterministic communications and efficient allocation of resources across constrained Internet of Things ...
Baddeley, Michael   +5 more
core   +3 more sources

AI for Network Traffic Control [PDF]

open access: yesIEEE Network, 2018
The fourteen articles in this special section present high-quality unpublished work regarding the latest advances in the area of AI-inspired network traffic control. Network traffic control is a key enabler for network systems as it helps achieve significant information delivery efficiency as well as resource utilization through monitoring, inspecting,
Yan Zhang, Pascal Lorenz
openaire   +1 more source

Impact of traffic management on black carbon emissions: a microsimulation study [PDF]

open access: yes, 2015
This paper investigates the effectiveness of traffic management tools, includ- ing traffic signal control and en-route navigation provided by variable message signs (VMS), in reducing traffic congestion and associated emissions of CO2, NOx, and black ...
Beckx, C   +7 more
core   +1 more source

Performance Comparison of Contention- and Schedule-based MAC Protocols in Urban Parking Sensor Networks [PDF]

open access: yes, 2014
Network traffic model is a critical problem for urban applications, mainly because of its diversity and node density. As wireless sensor network is highly concerned with the development of smart cities, careful consideration to traffic model helps choose
Lin, Trista   +2 more
core   +4 more sources

Distributed Traffic Signal Control for Maximum Network Throughput [PDF]

open access: yes, 2012
We propose a distributed algorithm for controlling traffic signals. Our algorithm is adapted from backpressure routing, which has been mainly applied to communication and power networks.
Frazzoli, Emilio   +4 more
core   +3 more sources

The Role of Inter-Controller Traffic for Placement of Distributed SDN Controllers [PDF]

open access: yes, 2016
We consider a distributed Software Defined Networking (SDN) architecture adopting a cluster of multiple controllers to improve network performance and reliability.
Bianco, Andrea   +3 more
core   +2 more sources

Network effects of intelligent speed adaptation systems [PDF]

open access: yes, 2004
Intelligent Speed Adaptation (ISA) systems use in-vehicle electronic devices to enable the speed of vehicles to be regulated externally. They are increasingly appreciated as a flexible method for speed management and control, particularly in urban areas.
Liu, R., Tate, J.E.
core   +1 more source

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