Fuzzy Based Packet Dropping Scheme in Wireless Cellular Networks

  • Jayashree D. Mallapur Department of Electronics and Communication Engineering Basaveshwar Engineering College Bagalkot, India
  • Sunilkumar S. Manvi Department of Electronics and Communication Engineering Reva Institute of Technology and Management Bangalore, India
  • D.H. Rao Jain College of Engineering Belgaum, India


Wireless multimedia networks are becoming very popular owing to the user demands for multimedia services. Packet dropping in the event of buffer congestion is one of the important issue in wireless multimedia networks. A packet dropping scheme has to be flexible and adaptive such that acceptable quality of an application is maintained. The paper presents a fuzzy based packet dropping scheme for wireless multimedia networks. A buffer manager placed at the base station performs packet dropping depending upon the traffic conditions and type of an application. Packet dropping is performed by computing dropping factor by considering packet priority, queue length and adaptive queue length threshold. The adaptive queue length threshold is used to dynamically adjust the dropping factor. The queue length threshold is varied by using two fuzzy input parameters, channel condition and rate of flow of an application. The scheme has been extensively simulated to test the performance in terms of acceptance and dropping probability of real-time handoff and new calls.


[1] S. Floyd and V. Jacobson, Random Early Detection gateways for congestion avoidance. IEEE/ACM Transactions on Networking, vol. 1, pp. 397-413, Aug., 1993.

[2] Yuan Chen and Lemin Li, A Fuzzy Fair Packet Dropping Algorithm Supporting Differentiated Services. IEEE Proc. 5th International Conference on Computer and Information Technology (CIT'05), Shangai, China, 2005.

[3] Chonggang Wang, Bo Li, Kazem Sohraby and Yong Peng, An Adaptive Fuzzy-based Control Algorithm for Active Queue Management. Proc. IEEE International Conf. on Local Computer Networks, Bonn, Germany, pp.643-649, 2003.

[4] Yuan Chen and Lemin Li, A wireless packet dropping algorithm considering fairness and channel condition. Proc. IEEE International Conf. on Communication, Circuits and Systems (ICCAS), Chengdu, China, vol. 1, pp. 369-373, June 2004.

[5] Changvuan Luo and Chongsen Ran, An adaptive retransmission and active drop mechanism based on fuzzy logic. Proc. IEEE International Conf. on Radio Science, pp. 162-165, Aug. 2004.

[6] Manpreet Dang, Amol Prakash, Manika and Rajeev, Fuzzy logic based handoff in indoor wireless networks. Proc. IEEE Vehicular Technology Conference, Tokyo, Japan, pp. 2375- 2379, May 2000.

[7] Huai-jen Liu, Chih-hsun Chou and Kuan-hu Ho, Fuzzy logic based solution for the congestion collapse problem. Journal of Information Technology and Applications, vol. 1, no.2, pp. 89-94 Sept., 2006.

[8] Saman Taghavi Zargar and Mohammad Hossein, Fuzzy Green: A modified TCP equationbased on active queue management using fuzzy logic approach. International Journal of Computer Science and Network Security, vol. 6, no.5, pp. 50-58, May 2006.

[9] Fan Yanfei, Ren Fengyuan and Lin Chuang, Active queue management based Fuzzy logic decision. Proc. International Conference Communication Technology, Beijing, China, pp. 286- 289, 2003.

[10] Dong Y.,Makrakis D and Sullivan T, Network Congestion control in ad-hoc IEEE 802.11 Wireless LAN. Proc. IEEE Canadian Conference on Electrical and Computer Engineering, Montreal, Canada, vol. 3, pp. 1667-1670, 2003.

[11] Huai-Rong Shao, Chia Shen, Daqing Gu, Jinyun Zhang and Philip Orlik, Dynamic Resource Control for High-Speed Downlink Packet Access Wireless. Proc. ICDCS Workshop, pp. 838- 843, 2003.

[12] William C.Y. and Lee, Estimation of channel capacity in rayleigh fading environment. IEEE Transactions on Vehicular Technology, vol. 39, no. 3, pp. 187-189, Aug. 1990.

[13] Mohammad R., Emami I., Burhan T. and Andrew A, Development of a systematic methodology of fuzzy logic modeling. IEEE Transactions on Fuzzy Systems, vol. 6, no. 3, pp. 346-360, Aug. 1998.

[14] Javier Gomez and Andrew T. Campbell, A Channel Predictor for Wireless Packet Networks. Proc. IEEE International Conference on Multimedia and Expo (ICME), New York, USA, July-August, 2000.

[15] Jaeweon Cho and Zygmunt J. Haas, On the Throughput Enhancement of the Downstream Channel in Cellular Radio Networks Through Multihop Relaying. IEEE Journal on Selected Areas in Communications, vol. 22, no. 7, Sept. 2004.

[16] Seungho Song, Kyuho Son, Hyang-Won Lee and Song Chong, Opportunistic Relaying in Cellular Network for Capacity and Fairness Improvement. Proc. IEEE Globecom,Washington, USA, Nov. 26-30, 2007.

[17] Xi Yong, Huang Qingyan, Wei Jibo and Zhao Haitao, Rate adaptive protocol for multirate IEEE 802.11 networks. Journal of Electronics China, vol. 24, no.3, pp. 289-295, April 2007.

[18] Samarth H. Shah, Kai Chen and Klara Nahrstedt, Available Bandwidth Estimation in IEEE 802.11-based Wireless Networks. Proc. of 1st ISMA/CAIDA Workshop on Bandwidth Estimation (BEst), San Diego, CA, Dec. 2003.

[19] Wei Zhuang, Brahim Bensaou and Kee Chaing Chua, Adaptive quality of service handoff priority scheme for mobile multimedia networks. IEEE Transactions on Vehicular Technology, vol. 49, no. 2, pp. 494-505, March 2000.

[20] Wei Zhuang, Brahim Bensaou and Kee Chaing Chua, Handoff priority scheme with preemptive, finite queueing and reneging in mobile multiservice networks. Journal of Telecommunication Systems, vol. 15, no. 1-2, pp. 37-51, Nov. 2000.

[21] K. M. Passino and S.Yurkovich, Fuzzy Control, Addission Wesley, 1998.
How to Cite
MALLAPUR, Jayashree D.; MANVI, Sunilkumar S.; RAO, D.H.. Fuzzy Based Packet Dropping Scheme in Wireless Cellular Networks. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 6, n. 2, p. 305-316, june 2011. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2179>. Date accessed: 16 july 2020. doi: https://doi.org/10.15837/ijccc.2011.2.2179.


Buffer, Multimedia, Fuzzy Logic, Packet Drop