Video Transmission using Priority Scheduling for Improvement of QoS in Cognitive Radio Networks
Sandeep P1, M. Shoukath Ali2
1Sandeep P, Research Scholar, Department of Electronics & Communication Engineering, Sri Satya Sai University of Technology and Medical Sciences. Sehore, Bhopal (M.P), India.
2M. Shoukath Ali, Associate Professor, Department of ECE, Guru Nanak Institutions Technical Campus, Hyderabad (Telangana), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 520-526 | Volume-8 Issue-7, May 2019 | Retrieval Number: F4008048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Need of spectrum resources have increased due to rapid growth of wireless multimedia applications, but as this spectrum is inefficiently used it has become scarce. Cognitive Radio network (CNR) solves current spectrum in efficiency problems and offer users a best wireless accessing environment depending on dynamic spectrum allocation.Due to involvement of more number of user’s spectrum allocation and scheduling should be wisely done. If proper spectrum allocation is not done, the probability of collision increases in the network which in turn degrades the network performance. A new technique known as Improved Quality of Service Scheduling (IQS) is proposed in order to avoid collisions and to improve the Quality of Service (QoS). IQS enhances the QoS parameters. In this proposed technique network bipartition is done and each region is provided with a Cognitive radio (CR)base station, it allocates appropriate scheduling to each node which lies in its region. Here, spectrum allocation is based on priority, real-time and non-real-time video transmission applications are considered for priority considerations. This leads to increase in network performance. The simulation results convey that, IQS decreases the overhead ratio, collision probability, delay and also increases throughput and network efficiency.
Keyword: Scheduling, IQS, Cognitive Radio Networks, Distributed architecture, QoS, Network Efficiency.
Scope of the Article: Cognitive Radio Networks.