Cloud-Based Routing Resource Allocation in Cognitive Radio Networks

Authors

  • M. N. Morshed Computer Centre, Islamic University, Kushtia, Bangladesh
  • S. Khatun Faculty of Electrical and Electronics Engineering, UMP, Pahang, Malaysia.
  • M. M. Fakir Faculty of Chemical Engineering (CARIFF), UMP, Pahang, Malaysia.
  • M. Z. Ibrahim Faculty of Electrical and Electronics Engineering, UMP, Pahang, Malaysia.
  • S. Razali Faculty of Electrical and Electronics Engineering, UMP, Pahang, Malaysia.
  • Yugeraj Ramajayam School of Computer and Communication Engineering, Universiti Malaysia Perlis, Malaysia

Keywords:

Cognitive Radio Network, Cloud-based Routing, Peer to Peer Multi-hop Communications, Resource Allocation, Wi-Fi Direct,

Abstract

Wi-Fi Direct technology is enabled to support multiple services to be done via Wi-Fi connection. It provides the most efficient method to develop ad-hoc community among mobile devices for connecting quickly with one another without needing an access to the network. It allows communicating at common Wi-Fi rates for various applications including document exchange and online connection. This one-stop WiFi Direct application is able to connect a device to a single device at a time, i.e., only peer to peer communication is allowed within one hop. Hence, multi-device communication within multi-hop distance in a trusty Cognitive Radio (CR) network environment is in demand. This paper presents the development of an Android-based application with optimum cloud routing service to transfer files or chatting via Wi-Fi Direct technology in CR network. A system is developed using smartphones (with developed applications) and nodes with WI-FI connection. An indirect multi-hop routing approach is created if more devices transfer files simultaneously from hop to hop. After login and initializing, a device discovers the neighboring nodes first and then connects those (as necessary) to transfer a file or start chatting. The very moment a connection is established, a log file is generated in internal memory and save a backup copy in cloud containing necessary networking information of the client devices. The aim of these backup log files is for forensic investigation for intrusion detection/prevention and secured communications. Then the chatting or file transfer is carried out between the connected devices either in single or multi-hop routes. Results show that the system’s efficiency is around 92%. It shows that multi-device, multi-hop Wi-Fi Direct services can be implemented using Android devices with Eclipse Java programming in CR networks.

References

M.N. Morshed, S. Khatun, L. M. Kamarudin, S. A. AlJunid, R. B. Ahmad, A. Zakaria, M. M. Fakir., N. Azmi, “Performance Measurement of 2.4 GHz WLAN Channels for Overlapped and Nonoverlapped Wi-Fi Direct Channel Activity”, International Journal of Microwave and Optical Technology, vol.11, no. 4, pp. 268–273, July 2016.

M.N. Morshed, S. Khatun, L. M. Kamarudin, S. A. AlJunid, R. B. Ahmad, A. Zakaria, M. M. Fakir. “Non-overlapping Channel Utilization and Noise Floor Measurement of 2.4 GHz Wireless LAN Based Cognitive Radio Network”, International Journal of Applied Engineering Research, vol. 11(12), pp.7883–7887, July 2016.

M N Morshed, S Khatun, L M Kamarudin, A Zakaria, N Azmi. “Distributed Cognitive Radio Detection Using Wasp mote Sensor for Windows Based PC/Laptop”, 2nd International Conference on Electronic Design (ICED 2014), August 2014.

M.N. Morshed, S. Khatun, L. M. Kamarudin, S. A. AlJunid, R. B. Ahmad, A. Zakaria, M. M. Fakir. “Adaptive Threshold Determination for Efficient Channel Sensing in Cognitive Radio Network using Mobile Sensors”, 11th Asian Conference on Chemical Sensor, Penang, Malaysia, November, 2015.

V.Vijayasarveswari, S. Khatun, M.M. Fakir, M.N. Morshed, L.M. Kamarudin, A. Jakaria. “Cognitive Radio Based Optimal Channel Sensing and Resources Allocation”, 11th Asian Conference on Chemical Sensors (ACCS 2015), November, 2015.

Morshed, M. N., Khatun, S., Kamarudin, L. M., Aljunid, S. A., Ahmad, R. B., Zakaria, A., & Fakir, M. M. "Adaptive threshold determination for efficient channel sensing in cognitive radio network using mobile sensors." AIP Conference Proceedings. vol. 1808, no. 1, March, 2017.

V.Vijayasarveswari, S. Khatun, M.M. Fakir, M.N. Morshed, L.M. Kamarudin, A. Jakaria. "Cognitive radio based optimal channel sensing and resources allocation." American Institute of Physics Conference Series, vol. 1808, no. 2, March, 2017.

Cloud Storage Features Explained. 2013. URL: http://www.cloudstoragereviews.co/cloud-storage-basics/cloudstorage-features-explained.html, 4th December 2013.

Tabbakh, Seyed Reza Kamel, Sabira Khatun, and Borhanuddin Mohd Ali. "Data storage as a new perspective of future IP networks," 2009 IEEE 9th Malaysia International Conference on Communications (MICC), pp. 413-416, December, 2009.

Optimized Link State Routing Protocol (OLSR). 2003. http://www.ietf.org/rfc/rfc3626.txt

Aleksandr Huhtonen, “Comparing AODV and OLSR Routing Protocols,” Seminar on Internetworking, Sjökulla, 26/27 April 2004.

Sargolzaey H, Ali BM, Khatun S. “A cross layer metric for discovering reliable routes in mobile ad hoc networks”, Wireless Personal Communications, pp. 1-10, Sep, 2012.

Marzook, A. K., Ismail, A., Ali, B. M., Sali, A., Khalaf, M. H., & Khatun, S. “Analysis of joint channel estimation and joint data detection in TD-SCDMA systems”, 17th IEEE Asia-Pacific Conference on Communications (APCC), pp. 692-697, October, 2011.

Sargolzaey H, Khatun S., Ali BM, and Noordin NK. "Probabilistic route reliability with distance." 2010 IEEE International Conference on Computer and Communication Engineering (ICCCE), pp. 1-5, May, 2010.

Natsheh, Essam, Sabira Khatun, and Adznan B. Jantan. "A model of routine lifetime optimization with linguistic knowledge in wireless adhoc networks," Mathware & Soft Computing, vol. 13, no. 1, 2006.

Mokhtar, R.A., Khatun, S., Ali, B.M. and Ramli, A. “Cooperative sensing in cognitive radio networks-avoid non-perfect reporting channel”, J. Eng. Applied Sci, vol. 2, pp. 471-475, 2009.

Mokhtar R.A, Khatun S., Ali B.M, Ramli A.R. "Cooperative Sensing under Limited Band Control Channel in Cognitive Radio Networks," 2008 IEEE 6th National Conference on Telecommunication Technologies and 2008 2nd Malaysia Conference on Photonics NCTTMCP, pp. 377-380, August, 2008.

Mokhtar R.A, Khatun S., Ali B.M, Ramli A.R. "Cognitive radio technology for flexible spectrum sharing," 2006 IEEE 4th Student Conference on Research and Development, SCOReD, pp. 44-48. June, 2006.

Downloads

Published

2018-01-22

How to Cite

Morshed, M. N., Khatun, S., Fakir, M. M., Ibrahim, M. Z., Razali, S., & Ramajayam, Y. (2018). Cloud-Based Routing Resource Allocation in Cognitive Radio Networks. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-3), 109–114. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3496

Issue

Vol. 10 No. 1-3: Moving Towards Industry 4.0 II

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.


Most read articles by the same author(s)