The practical limitations and challenges of radio frequency (RF) based
communication networks have become increasingly apparent over the past decade,
leading researchers to seek new hybrid communication approaches. One promising
strategy that has been the subject of considerable interest is the augmentation
of RF technology by Free Space Optics (FSO), using the strength of each
communication technology to overcome the limitations of the other. In this
article, we introduce a new scheme for controlling the topology in hybrid
Radio-Frequency/Free Space Optics (RF/FSO) wireless mesh networks. Our scheme
is based on adaptive adjustments to both transmission power (of RF and FSO
transmitters) and the optical beam-width (of FSO transmitters) at individual
nodes, with the objective of meeting specified Quality of Service (QoS)
requirements, specifically end-to-end delay and throughput. We show how one can
effectively encode the instantaneous objectives and constraints of the system
as an instance of Integer Linear Programming (ILP). We demonstrate that the
technique of Lagrangian Relaxation (LR), augmented with iterative repair
heuristics, can be used to determine good (albeit sub-optimal) solutions for
the ILP problem, making the approach feasible for mid-sized networks. We make
the proposed scheme viable for large-scale networks in terms of number of
nodes, number of transceivers, and number of source-destination pairs by
solving the ILP problem using a Particle Swarm Optimization (PSO)
implementation