Abstract
We had previously defined a novel cognitive method for throughput improvement of IEEE 802.16j mobile multi-hop ad-hoc network which enables better management of the spectral access and buffer management of the nodes in the network. By this method we had minimized the packet loss ratio and improved the throughput of IEEE 802.16j network. In this study, a novel cognitive buffer management algorithm is proposed that arranges the packets stored in the buffers of the nodes in a probabilistic way and selects correct packet of the correct node to transmit first to provide fewer packet losses and also fewer average hop-counts for more throughputs. It is shown that the novel proposed buffer management algorithm provides about 19.45 % more throughput improvement (on average) with respect to the results evaluated by the buffer management algorithm used before (which was also shown to provide 12 % throughput improvement with respect to a First In First Out buffer management algorithm). All the results evaluated in this study are also confirmed by the results of analytical calculations, the results of the developed simulation program and the results evaluated in the literature.
Similar content being viewed by others
References
Mitola, J, I. I. I., & Maguire, G. (1999). CR: Making software radios more personal. IEEE Personal Communications, 6, 13–18.
Xu, H., & Li, B. (2010). Efficient resource allocation with flexible channel cooperation in OFDMA CR Networks. In G. Mandyam (Ed.), INFOCOM 2010 the 29th conference on computer communications. San Diego, USA: IEEE, pp. 1–9, March 15–19, 2010.
Srinivasa, S., & Jafar, S. A. (2006). The throughput potential of CR: A theoretical perspective. In ACSSC 2006 Asilomar conference on signals systems and computers. Pacific Grove, California, USA: IEEE, pp. 221–225, October 29–November 1, 2006.
Genc, V., Murphy, S., & Murphy, J. (2008). Performance analysis of transparent relays in 802.16j MMR networks. In H. Karl (Ed.), WiOPT 2008 6th International symposium on modeling and optimization in mobile ad hoc and wireless networks. Berlin, Germany: ICST, pp. 273–281, March 31–April 4, 2008.
Link: http://www2.engr.arizona.edu/~krunz/TR/spectrum_sharing_haythem_july2009.pdf Link last access date: 21/03/2013.
Preveze, B., & Safak, A. (2010). Throughput maximization of different signal shapes working on 802.16e mobile multi-hop network using novel cognitive methods. In Meghanathan (Ed.), WIMO 2010 The Second International Conference on Wireless & Mobile Networks. Ankara, Turkey: Springer AIRCC, pp. 71–86, June 26–28 , 2010.
Preveze, B., & Safak, A. (2010). Throughput improvement of mobile multi-hop wireless networks. International Journal of Wireless and Mobile Networks, 2, 120–140.
Preveze, B., & Safak, A. (2012). Effects of routing algorithms on novel throughput improvement of mobile ad hoc networks. Turkish Journal of Electronics and Computer Science, 20, 507–522.
Girici, T. (2009). Asymptotic throughput analysis of multicast transmission schemes. AEU-International Journal of Electronics and Communications, 63, 901–905.
Song, G., & Li, Y. (2006). Asymptotic throughput analysis of channel-aware scheduling. IEEE Transactions on Communications, 54, 1827–1834.
Mach, P., & Bestak, R. (2008). WiMAX throughput evaluation of conventional relaying. Telecommunication Systems Journal, 38, 11–17.
Chan, J. (2007). Efficient data transfer and congestion control in wireless networks. University of California, Los Angles, Dissertation Publication No.: 3305697.
Keong, C. T. (1997). Associativity-based routing for ad-hoc mobile networks. United Kingdom Wireless Personal Communications, 4, 103–139.
Sivajothi, M., & Naganathan, E. N. (2008). An ant-colony based routing protocol to support multimedia communication in ad-hoc wireless networks. International Journal of Computer Science and Network Security, 8, 21–28.
Yi, X., & Wanye, W. (2008). Finding the fastest path in wireless networks. In J. Wu (Ed.), IEEE ICC 2008 international conference on communications. Beijing, China: IEEE, pp. 3188–3192, May 19–23, 2008.
Preveze, B., & Safak, A. (2009). Associativity tick averaged associativity based routing (ATAABR) for real time mobile networks. In H. Kuntman (Ed.), ELECO 2009 6th international conference on electrical and electronics engineering. Bursa, Turkey: IEEE, pp. II.208–212, November 5–8, 2009.
Preveze, B., & Safak, A. (2009). Alternative enhancement of associatively based routing (AEABR) for mobile networks. In K. Pentikousis (Ed.), MONAMI 2009 first international ICST conference on mobile networks and management. Athens, Greece: ICST, pp. 67–77, October 13–14, 2009.
Preveze, B. (2012). Effects of novel long life routing algorithms on IEEE 802.16 throughput improvement methods for various vehicular velocities. International Journal of Wireless and Mobile Networks, 4, 83–102.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Preveze, B. A Novel Cognitive Method for Throughput Improvement of Mobile Multi-hop Ad Hoc Networks. Wireless Pers Commun 82, 229–243 (2015). https://doi.org/10.1007/s11277-014-2205-1
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-014-2205-1