A Fuzzy Based Approach for Rate Control in Wireless Multimedia Sensor Networks

Document Type : Research Article

Authors

1 Corresponding Author, M.H. Yaghmaee Moghaddam is with the Department of Computer Engineering and Center of Excellence on Soft Computing and Intelligent Information Processing, Ferdowsi University of Mashhad, Mashhad, Iran (e-mail: yaghmaee@ieee.org).

2 Hamid Reza Hassanzadeh is a graduate student in Department of Computer Engineering, Ferdowsi University of Mashhad (FUM), Mashhad, Iran (e-mail:ha.hassanzadeh@ieee.org)

Abstract

Wireless Multimedia Sensor Networks (WMSNs) undergo congestion when a link (or a node) becomes overpopulated in terms of incoming packets. In WMSNs this happens especially in upstream nodes where all incoming packets meet and directed to the sink node. Congestion in networks, if not handled properly, might lead to congestion collapse which deteriorates the quality of service (QoS). Therefore, in order to avoid such situations corresponding actions should be taken into account so that to yield lower packet loss and consequently energy loss that is of utmost importance in WSNs. However, the term "packet loss" as implied by today's literature might not be effective in many applications especially in multimedia sensor networks. In this paper a new weighted packet loss metric is proposed which is best suited for multimedia sensor networks that convey packets of different priority classes. The proposed method then tries to minimize the aforementioned criterion by means of fuzzy queue management and a newly introduced adaptive rate control mechanism, in the presence of both abrupt and gradual changes in network dynamics. The employment of these two techniques provides us a synergy to handling short term and long term variations arising through the underlying simulated networks. The simulation results approve the superiority of the proposed approach over the selected competitive method when dealing with packets of different priorities.

Keywords

References

[1]     I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensor networks: a survey, Computer Networks 38 (4) (2002) 393– 422.
[2]     I.F. Akyildiz, T. Melodia, T.R. Chowdhury, A survey on wireless multimedia sensor networks, Computer Networks 51 (2007) 921–960.
[3]      V. Jacobson, Congestion Avoidance and Control, Symposium proceeding on communications architecture and protocols, (1988) 314-329.
[4]      Yassine Hadjadj Aoul, Ahmaed Mehaoua, Charalabos Skianis, A Fuzzy Logic-Based AQM for Real-Time Traffic Over Internet, Computer Networks 51 (2007) 4617-4633.
[5]      S. Floyd, K. Fall, Random early detection gateways for congestion avoidance, IEEE/ACM Transactions on Networking (August) (1993).
[6]     Zadeh, L.: Fuzzy Sets, Information and Control, 8:338 – 353, (1965).
[7]     Zargar, S.T., Yaghmaee, M.H.; Fard, A.M , Fuzzy Proactive Queue Management Technique, Annual India Conference,  (2006).
[8]      Tapio Frantti, Fuzzy Congestion Control In Packet Networks, Springer Berlin / Heidelberg, Volume 2/2005.
[9]      B. Safaiezadeh, A.M. Rahmani, E. Mahdipour, A New Fuzzy Congestion Control in Computer Networks, International Conference on Future Computer and Communication, (2009) 314-318 .
[10]    C.N. Nyirenda, D.S. Dawoud, “Self-Organization in a Particle Swarm Optimized Fuzzy Logic Con gestion Detection Mechanism for IP Networks”, Submitted to Scientia Iranica, International Journal of Science and Technology.
[11]    C. Wang, Member, K. Sohraby, M. Daneshmand, Y. Hu, Upstream congestion control in wireless sensor networks through cross-layer optimization, IEEE Journal on Selected Areas in Communications 25 (4) (2007) 786–795.
[12]    C.-T. Ee, R. Bajcsy, Congestion control and fairness for many-to one routing in sensor networks, in: Proceedings of ACM Sensys, November 2004.
[13]    C.-Y. Wan, S.B. Eisenman, A.T. Campbell, CODA: congestion detection and avoidance in sensor networks, in: Proceedings of ACM Sensys’03, Los Angeles, CA, November 5–7, 2003.
[14]    H. Zhang et al., Reliable bursty convergecast in wireless sensor networks, in: Proceedings of ACM Mobihoc’05, Urbana-Champain, IL, May 25–28, 2005.
[15]    Mohammad Hossein Yaghmaee a,*, Donald A. Adjeroh, Priority-based rate control for service differentiation and congestion control in wireless multimedia sensor networks, Computer Networks 53 (2009) 1798–1811.

Files

Share

How to cite

Statistics