Queuing Management in Wireless Sensor Networks for QoS Measurement
- 1 Institute of Cybernetics, Baku, Azerbaijan
- 2 Institute of Cybernetics, Baku, Azerbaijan
Abstract
Data transmission in multimedia WSNs are required high bandwidth and reliable transfer because of large amount of data size. However, some applications of WSNs are required high quality. In this context, main factor in quality of services (QoS) metrics in WSNs becomes longevity of the network and high quality. In sensor nodes, choosing relevant transceiver and microcontroller components plays important role in assembling sensor devices, in which data controls should be designed so that packet loss is minimized. Available QoS metrics based on queuing/buffer management in wired and other wireless networks don’t applicable in WSNs because of its unique characteristics. In this paper the simplest model of QoS model-bufferless system were proposed. In the proposed model, measurement of the probability of blocking of the arrival packets was suggested by using queuing theory in order to increase QoS. Given probability of blocking ( PB ) illustrates clear picture how system specification should be chosen so that blocking state would be minimized.
- I. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, “Wireless Sensor Networks: A Survey,” Computer Networks, Vol. 38, No. 4, 2002, pp. 393-422. doi:10.1016/S1389-1286(01)00302-4
- J. F. Kurose and K. W. Ross, “Computer Networking: A Top-Down Approach Featuring the Internet,” 3rd Edition, Addison Wesley, Boston, 2005.
- O. Berder and O. Sentieys, “PowWow: Energy-Efficient HW/SW Techniques for Wireless Sensor Networks,” Proceedings of the Workshop on Ultra-Low Power Sensor Networks, Hannover, 22-25 February 2010, pp. 229- 233.
- M. Escheikh and K. Barkaoui, “Opportunistic MAC Layer Design with Stochastic Petri Nets for Multimedia Ad Hoc Networks,” Concurrency Computation Practice and Experience, Vol. 22, No. 10, 2010, pp. 1308-1324. doi:10.1002/cpe.1581
- A. W. Liehr, K. J. Buchenrieder, “Simulating Inter-Process Communication With Extended Queueing Networks,” Simulation Modelling Practice and Theory, Vol. 18, No. 8, 2010, pp. 1162-1171. doi:10.1016/j.simpat.2009.08.010
- C. Chiasserini and E. Magli, “Energy Consumption and Image Quality in Wireless Video-Surveillance Networks,” Proceedings of 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Helsinki, 15-18 September 2006, pp. 2357- 2361.
- I. F. Akyildiz, T. Melodia and K. R. Chowdhury, “A Survey on Wireless Multimedia Sensor Networks,” Computer Networks, Vol. 51, No. 14, 2007, pp. 921-960. doi:10.1016/j.comnet.2006.10.002
- T. Qiu, F. Xia, F. Lin, G. Wu and B. Jin, “Queueing Theory-Based Path Delay Analysis of Wireless Sensor Networks,” Advances in Electrical and Computer Engineering, Vol. 11, No. 2, 2011, pp. 3-8. doi:10.4316/aece.2011.02001
- T. Qiu, L. Wang, L. Feng and L. Shu, “A New Modeling Method for Vector Processor Pipeline Using Queueing Network,” 5th International ICST Conference on Communications and Networking, Beijing, 25-27 August 2010, pp. 1-6.
- S. A. Khan and S. A. Arshad, “QoS Provisioning Using Hybrid FSO-RF Based Hierarchical Model for Wireless Multimedia Sensor Networks,” (IJCSIS) International Journal of Computer Science and Information Security, Vol. 4, No. 1-2, 2009, p. 16.
- R. Andriansyah, T. V. Woensel and F. R. Cruz, “Performance Optimization of Open Zero-Buffer Multi-Server Queueing Networks,” Computers and Operations Research, Vol. 37, No. 8, 2010, pp. 1472-1487. doi:10.1016/j.cor.2009.11.004