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Publication

Dynamic Packet Length Control for Cognitive Radio Networks

Authors:
Dr.-Ing. Ali Haider Mahdi
Dr.-Ing. Mohamed Abdrabou Kalil
Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel
Typ:
Conferences
Status:
accepted
Date of publication
09/02/2013
Abstract:
One of the main challenges in Cognitive Radio
Networks (CRN) is that the link configuration between two nodes
is affected by the transmission power, interference with legacy
nodes and fading. These effects hinder the data delivery between
CR nodes. Thus, an optimization technique is needed to improve
the performance of the cognitive radio node in these varying
environmental conditions. In this paper, we propose the Adaptive
Discrete Particle Swarm Optimization (ADPSO) algorithm for
dynamic packet length and energy consumption optimization in
different channel conditions. The proposed algorithm incorporates
Case Based Reasoning (CBR) to reduce the computation
time. The results show that improvements of more than 40% in
the transmission time and more than 37% in signaling overhead
compared with the classical optimization based systems.
Bibtex