F
Farid Farahmand
Researcher at Sonoma State University
Publications - 68
Citations - 1333
Farid Farahmand is an academic researcher from Sonoma State University. The author has contributed to research in topics: Traffic grooming & Optical burst switching. The author has an hindex of 22, co-authored 67 publications receiving 1291 citations. Previous affiliations of Farid Farahmand include Alcatel-Lucent & University of Texas at Dallas.
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Journal ArticleDOI
GeoSpray: A geographic routing protocol for vehicular delay-tolerant networks
TL;DR: A VDTN routing protocol, called GeoSpray, which takes routing decisions based on geographical location data, and combines a hybrid approach between multiple-copy and single-copy schemes, and improves significantly the delivery probability and reduces the delivery delay.
Proceedings ArticleDOI
A layered architecture for Vehicular Delay-Tolerant Networks
TL;DR: This paper proposes a layered architecture for VDTNs, using out-of-band signaling, based on the separation of the control plane and data plane, and presents the layers interactions and the envisioned protocols required at each layer.
Proceedings ArticleDOI
Traffic Grooming in Green Optical Networks
TL;DR: It is shown that by looking further into the modular physical architecture of a node during request allocations, the number of active components and total energy consumption in the network can be significantly reduced, especially when traffic load is low.
Journal ArticleDOI
Multicast traffic grooming in wavelength-routed WDM mesh networks using dynamically changing light-trees
TL;DR: This paper develops a multicast dynamic light-tree grooming algorithm (MDTGA) that can support multihop traffic grooming by taking advantage of light-trees and implements MDTGA on a new auxiliary-graph model.
Journal ArticleDOI
Energy-Efficient Translucent Optical Transport Networks With Mixed Regenerator Placement
TL;DR: It is shown that the energy cost of a translucent network can be further reduced by leveraging the energy efficiency of all-optical 2R (reamplification and reshaping) regenerators and the joint optimization using the MRP-GA obtains the best network planning in terms of energy efficiency.