Application of delta function in probabilistic modeling of communication delays in wireless networks – measurement identification and application of the delay model

• Autorzy: Jakubiec J. , Krupanek B.
• Języki publikacji: EN

Abstrakty

EN

The paper is the second part of the publication [1] which presents the mathematical fundamentals of a new probabilistic model of communication delays in wireless networks. This model is based on a delta function sequence used to describe retransmissions between a transmitter and a receiver [2], [3] which occur when external disturbances influence a wireless transmission. In the paper, there are described a method of identification of the proposed model parameters on the basis of measurements results of delays and verification of the identified values. The model application for describing delays in multi-node wireless networks is presented and illustrated by examples.

Słowa kluczowe

EN

delta function; wireless networks; probabilistic model of delays; identification of model parameters

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2015
• Tom: Vol. 61, No. 11
• Strony: 498--502
• Opis fizyczny: Bibliogr. 27 poz., rys., wykr., wzory

Twórcy

autor

Jakubiec J.

• Silesian University of Technology, 10 Akademicka St., 44-100 Gliwice

autor

Krupanek B.

• Silesian University of Technology, 10 Akademicka St., 44-100 Gliwice

Bibliografia

• [1] Jakubiec J., Krupanek B.: Application of delta function in probabilistic modeling of communication delays in wireless networks – introduction and mathematical basis. Measurement Automation Monitoring, vol. 61, no. 9, 2015, pp. 426–429.
• [2] Jakubiec J., Krupanek B.: Model of communication delays in wireless networks. Problems and Progress in Metrology. PPM'15, Kościelisko, 07-10 June 2015, pp. 45-48, 2015.
• [3] Krupanek B., Bogacz R.: Applications of wireless transmission model in indoor environment. IMEKO XXI World Congress, Prague, August 30 - September 4, 2015.
• [4] Yuan L., Zhu Y.: Modeling and Simulating Wireless Sensor Transportation Monitoring Network. The Sixth World Congress on Intelligent Control and Automation, Vol. 2, 2006, pp. 8640-8644.
• [5] Chaudhary D. D., Waghmare L. M.: Quality of service analysis in wireless sensor network by controlling end-to-end delay.7th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2012, pp. 703-708.
• [6] Topór-Kamiński T., Krupanek B., Homa J.: Delays Models of Measurement and Control Data Transmission Network. Advanced Technologies for Intelligent Systems of National Border Security, Studies in Computational Intelligence, 440, pp. 257-279.
• [7] Miczulski W., Powroźnik P.: A new elastic scheduling task model in the node of a control and measurement system. Metrol. Meas. Syst., Vol. XX (2013), No. 1, pp. 87-98.
• [8] Chitre, M., Motani, M., Shahabudeen, S.: Throughput of Networks With Large Propagation Delays. IEEE Journal of Oceanic Engineering, Vol. 37, Issue 4, 2012, pp. 645-658.
• [9] Bobbio A.: System Modelling with Petri Nets. Instituto Elettrotecnico Nazionale Galileo Ferraris, System Reliability Assessment, Kluwer p. c., 1990, p. 102-143.
• [10] Yang S., Kuipers, F.A.: Traffic uncertainty models in network planning. IEEE Communications Magazine, Vol. 52, Issue 2, 2014, pp. 172-177.
• [11] Nistor M., Lucani D. E., Vinhoza T. T. V., Costa R. A.: On the Delay Distribution of Random Linear Network Coding. IEEE Journal on Selected Areas in Communications, Vol. 29, Issue 5, 2011, pp. 1084-1093.
• [12] LiuY., Ni L., Chuanping H.: A Generalized Probabilistic Topology Control for Wireless Sensor Networks. IEEE Journal on Selected Areas in Communications, Vol. 30, Issue 9, 2012, pp. 2776-2780.
• [13] Angrisani L., Capriglione D., Ferrigno L., Miele G.: An Internet Protocol Packet Delay Variation Estimator for Reliable Quality Assessment of Video-Streaming Services. IEEE Transactions on Instrumentation and Measurement, Vol. 62, Issue 5, 2013, pp. 914-923.
• [14] Bao D., De VitoL., Rapuano S.:A Histogram-Based Segmentation Method for Wideband Spectrum Sensing in Cognitive Radios. IEEE Transactions on Instrumentation and Measurement, Vol. 62, Issue 7, 2013, pp. 1900-1908.
• [15] Priebe S., Kurner T.: Stochastic Modeling of THz Indoor Radio Channels. IEEE Transactions on Wireless Communications, Vol. 12, Issue 9, 2013, pp. 4445-4455.
• [16] Jakubiec J.: A New Conception of Measurement Uncertainty Calculation. Acta Physica Polonica A. Vol. 124 (2013), No. 3, pp. 436-444.
• [17] Quer G., Meenakshisundaram H., Tamma B. R., Manoj B. S.: Using Bayesian Networks for Cognitive Control of Multi-hop Wireless Networks. Military Communications Conference MILCOM, 2010, pp. 201 – 206.
• [18] Zhang Z.: Theory and Applications of Network Error Correction Coding. Proceedings of the IEEE, Vol. 99, Issue 3, 2011, pp. 406-420.
• [19] [19] Krupanek B., Bogacz R.: Modelling of communication delays in wireless networks. Advances measurement tools in technical diagnostics for systems' reliability and safety. 13th IMEKO TC10 Workshop on Technical Diagnostics, Warsaw, Poland, June 26-27, 2014. Proceedings, pp. 21-26, 2014.
• [20] Digi International: Indoor Path Loss, Application Note, 2012.
• [21] Eady F.: Hands-On ZigBee: Implementing 802.15.4 with Microcontrollers. Elsevier Inc, 2007.
• [22] Jakubiec J., Wymysło M.: Errors caused by delays in measuring and control systems, PPM Digest, 2015, s. 49-52.
• [23] Jain K., Padhye J., Padmanabhan V., Qiu L.: Impact of Interference on Multi-hop Wireless Network Performance, Microsoft Research One Microsoft Way, Redmond, WA 98052.
• [24] Sun Y., Gao X., Belding-Royer E., Kempf J.: Model-based Resource Prediction for Multi-hopWireless Networks. IEEE International Conference on Mobile Ad-hoc and Sensor Systems, 2004.
• [25] Krupanek B.: Modeling of transmission delays caused by disturbances in the wireless networks in IEEE 802.15.4 standard (in Polish), PhD thesis, Gliwice 2012.
• [26] Krupanek B., Bogacz R.: Applications of wireless transmission model in indoor environment, XXI IMEKO World Congress, Prague, 2015.
• [27] Krupanek B.: Simulations of experimental set up based on ZigBee standard using Opnet. International PhD Workshop OWD 2009, Wisła, 17-20.10.2009, pp. 262-267.