Osama Awwad

TL;DR: This work presents a new formal model for MANETs consisting of cognitive radio capable nodes that are willing to be moved (at a cost), and develops an effective decentralized algorithm for mobility planning, and powerful new Altering and fuzzy based techniques for both channel estimation and channel selection.

TL;DR: A new scheme for controlling the topology in hybrid Radio-Frequency/Free Space Optics (RF/FSO) wireless mesh networks is introduced and it is shown how one can effectively encode the instantaneous objectives and constraints of the system as an instance of Integer Linear Programming (ILP).

TL;DR: This work considers the RWA problem with traffic grooming (GRWA) for mesh networks under static and dynamic lightpath connection requests and proposes an integer linear programming (ILP) model that accurately depicts the GRWA problem.

TL;DR: This work considers the RWA problem with traffic grooming (GRWA) for mesh networks, and proposes two novel heuristics that minimize the cost of the traffic grooming and wavelength conversion equipment used in optical network without hindering the network blocking performance.

TL;DR: A Compute Unified Device Architecture‐based (CUDA) GPU solution to solve the topology control problem in hybrid radio frequency and free space optics wireless mesh networks by adapting and adjusting the transmission power and the beam‐width of individual nodes according to QoS requirements.