Opportunistic Channel Selection Strategy for Better QoS in Cooperative Networks with Cognitive Radio Capabilities

Mission-oriented MANETs are characterized by implicit common group objectives which make inter-node cooperation both logical and feasible. We propose new techniques to leverage two optimizations for cognitive radio networks that are specific to such contexts: opportunistic channel selection and cooperative mobility. We present a new formal model for MANETs consisting of cognitive radio capable nodes that are willing to be moved (at a cost). We develop an effective decentralized algorithm for mobility planning, and powerful new Altering and fuzzy based techniques for both channel estimation and channel selection. Our experiments are compelling and demonstrate that the communications infrastructure-specifically, connection bit error rates-can be significantly improved by leveraging our proposed techniques. In addition, we find that these cooperative/opportunistic optimization spaces do not trade-off significantly with one another, and thus can be used simultaneously to build superior hybrid schemes. Our results have significant applications in high-performance mission-oriented MANETs, such as battlefield communications and domestic response & rescue missions.     

A new queuing strategy for large scale ATM switches

In this article, different buffering techniques used to solve the contention problem in ATM switching architectures are compared. Then, the buffer requirements needed to achieve a given quality of service (QoS) is determined. Based on the results, we propose a combined central and output queuing (CCOQ) technique to be used in designing large-scale ATM switches for high-speed networks     

Routing framework for all-optical DWDM metro and long-haul transport networks with sparse wavelength conversion capabilities

In this paper, we propose a novel routing framework for all-optical dense wavelength-division-multiplexing transport networks with sparse wavelength conversion capabilities. The routing framework includes an integer linear programming formulation to handle the static lightpath establishment problem and a novel open shortest path first protocol extension that advertises the availability of wavelength usage and wavelength conversion resources. Our routing framework addresses the limitations of the extensions presented in the literature because it also includes: 1) an efficient flooding protocol that is suitable for the dynamic nature of these networks and 2) an efficient route and wavelength computation engine that minimizes connection costs without hindering the blocking probability.     

From Blindness to Foraging to Sensing to Sociality: an Evolutionary Perspective on Cognitive Radio Networks

Mobile Networks and Applications - Wireless communication is an increasingly important aspect of the digital ecosystem. The Internet of Things reached 4+ billion devices in 2014, and is expected to...