Investigative Analysis of Cognitive Radio Wireless Model for Reconfiguration and Adaptation Capabilities
Journal Title: IOSR Journal of Mobile Computing & Application (IOSR-JMCA) - Year 2018, Vol 5, Issue 2
Abstract
Wireless networks have become constant in our everyday life due to ever increasing users and applications. With newer and sophisticated protocols emerging every day, traditional distributed environments and static allocation of frequency spectrum could no longer meet the needs of current wireless technology. This problem is heightened by diverse technologies and inflexible spectrum management approaches as ordinary wireless network architecture cannot self-organize without a central control. Cognitive Radio (CR) technology as solution to spectrum under-utilization problem offered in this research implement learning and adaptation to reuse spectrum holes. A Cognitive Radio Multiple Interface (CORAMIF) model, configured with heterogeneous interfaces (IEEE 802.11, 802.16 and 802.22) are equipped via Software Defined radio (SDR) was simulated on Linux with development environment customized using C++ and Object Tool Control Language (OTCL) tools to model signal strength and propagation delay. OTCL enabled network configuration while C++ handled data traffic. NS2 implementation and binding of OTCL objects with C++ enabled the primary objective of providing highly reliable communication everywhere as needed. Using formulated spectrum-awareness configuration, intelligent adaptation at network layer enabled opportunistic channel access. Packet forwarding by Distributed Coordination Function (DCF) implemented at Medium Access Channel (MAC) layer is merged with routing at transport layer. Learning and adaptation is implemented for reconfiguration before signal fading. Based on received signal power, smooth handoff is enabled for seamless roaming. Results were obtained by comparing the performance of formulated Zone Based Routing (ZBR) algorithm with Ad-hoc Online Multipath Distance Vector (AOMDV) and Direct Sequence Distance Vector (DSDV) NS2 defaults. Measurement of performance of throughput, delay and delivery rates demonstrated remarkable prevention of interference and congestion using different algorithms. Furtherance to this, normalized power received by mobile users showed communication efficacy and traffic balance with minimal tradeoffs in design. Finally, the bridged function of developed model was evaluated for congestion control and the operating parameters evaluated for seamless roaming. CR technology will therefore, augment spectrum availability and communication efficiency in future generations.
Authors and Affiliations
S. O. Falaki, O. S. Adewale, B. K. Alese, O. T. Jinadu
Keywords
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