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Determination of General Parameters of WSNs Designed for 3-D Closed Environments

Year 2015, Volume: 3 , 185 - 195, 30.12.2015

Abstract

Use of Wireless Sensor Networks (WSNs) has become widespread in many critical environments. For example, this technology has come into use in tunnels, mines and so on. In this kind of environments, a WSN system design must be far away from randomness and be done systematically. Therefore simulators play a significant role in a WSN system design. Success of a simulator affects directly success of the system. In this paper, we preferred Castalia simulator which is a successful WSN simulator based on OMNET. Many parameters such as different data size, indoor environment features, and various transmission power levels etc., which have an effect on packet reception ratio (PRR), were examined by Castalia. Finally, we explain how to design a WSN system, and what should be considered in a WSN simulation.

References

  • [1] Tangil G. S., Palomar E., Ramos B., Ribagorda A., 2010, An Experimental Comparison of Source Location Privacy Methods for Power Optimization in WSNs,ADVANCES in SENSORS, SIGNALS and MATERIALS, 79-84. [2] Colesanti U., Santini S., (2010), A Performance Evaluation Of The Collection Tree Protocol Based On Its Implementation For The Castalia Wireless Sensor Networks Simulator, Technical Report, Department of Computer Science, ETH Zurih. [3] Elbishti M., Elleithy K., Almazaydeh L., 2014, An Energy Efficient Algorithm for Object - Tracking Wireless Sensor Networks, ICAT’14 International Conference on Advanced Technology & Science, DOI: 10.13140/2.1.1639.3609. [4] Saraswat L. K., Kumar S., 2013, Extending the Network Lifetime in Wireless Sensor Networks using RBR Algorithm, Advance in Electronic and Electric Engineering, 3(3) 287-294. [5] Jevtic M. Zogovic N., Dimic G., 2009, Evaluation of Wireless Sensor Network Simulators, 17th Telecommunications forum TELFOR, 1303-1306. [6] Tripathi J., Oliveira J.C., Vasseur J.P., 2014,Proactive versus reactive routing in low power and lossy networks: Performance analysis and scalability improvements, Ad Hoc Networks, 23 121-144, http://dx.doi.org/10.1016/j.adhoc.2014.06.007 [7] Minakov I., passerone R., 2013, PASES: An energy-aware design space exploration framework for wireless sensor networks, Journal of Systems Architecture, 59 626-642, http://dx.doi.org/10.1016/j.sysarc.2013.05.020 [8] Bradai N., Fourati L. C., Kamoun L., 2014, Investigation and performance analysis of MAC protocols for WBAN networks, Journal of Network and Computer Applications, 46 362-373, http://dx.doi.org/10.1016/j.jnca.2014.09.012 [9] https://omnetpp.org/doc/omnetpp/manual/usman.html, OMNeT++ User Manual Version 4.5, [10] https://forge.nicta.com.au/projects/castalia/, Castalia User Manual Version 3.2 [11] Cebula S.L., Ahmad A., Graham J.M, Hinds C.V., Wahsheh L.A, (2011), Empirical Channel Model for 2.4GHz IEEE 802.11 WLAN, Proceedings of the 2011 International Conference on Wireless Networks. [12] Akyildiz, I.F, Vuran,M.C., 2010. Wireless Sensor Networks, WILEY, ISBN 978-0-470- 03601-3. [13] Goldsmith A., 2005, Wireless Communications, Stanford University, ISBN: 9780521837163
Year 2015, Volume: 3 , 185 - 195, 30.12.2015

Abstract

References

  • [1] Tangil G. S., Palomar E., Ramos B., Ribagorda A., 2010, An Experimental Comparison of Source Location Privacy Methods for Power Optimization in WSNs,ADVANCES in SENSORS, SIGNALS and MATERIALS, 79-84. [2] Colesanti U., Santini S., (2010), A Performance Evaluation Of The Collection Tree Protocol Based On Its Implementation For The Castalia Wireless Sensor Networks Simulator, Technical Report, Department of Computer Science, ETH Zurih. [3] Elbishti M., Elleithy K., Almazaydeh L., 2014, An Energy Efficient Algorithm for Object - Tracking Wireless Sensor Networks, ICAT’14 International Conference on Advanced Technology & Science, DOI: 10.13140/2.1.1639.3609. [4] Saraswat L. K., Kumar S., 2013, Extending the Network Lifetime in Wireless Sensor Networks using RBR Algorithm, Advance in Electronic and Electric Engineering, 3(3) 287-294. [5] Jevtic M. Zogovic N., Dimic G., 2009, Evaluation of Wireless Sensor Network Simulators, 17th Telecommunications forum TELFOR, 1303-1306. [6] Tripathi J., Oliveira J.C., Vasseur J.P., 2014,Proactive versus reactive routing in low power and lossy networks: Performance analysis and scalability improvements, Ad Hoc Networks, 23 121-144, http://dx.doi.org/10.1016/j.adhoc.2014.06.007 [7] Minakov I., passerone R., 2013, PASES: An energy-aware design space exploration framework for wireless sensor networks, Journal of Systems Architecture, 59 626-642, http://dx.doi.org/10.1016/j.sysarc.2013.05.020 [8] Bradai N., Fourati L. C., Kamoun L., 2014, Investigation and performance analysis of MAC protocols for WBAN networks, Journal of Network and Computer Applications, 46 362-373, http://dx.doi.org/10.1016/j.jnca.2014.09.012 [9] https://omnetpp.org/doc/omnetpp/manual/usman.html, OMNeT++ User Manual Version 4.5, [10] https://forge.nicta.com.au/projects/castalia/, Castalia User Manual Version 3.2 [11] Cebula S.L., Ahmad A., Graham J.M, Hinds C.V., Wahsheh L.A, (2011), Empirical Channel Model for 2.4GHz IEEE 802.11 WLAN, Proceedings of the 2011 International Conference on Wireless Networks. [12] Akyildiz, I.F, Vuran,M.C., 2010. Wireless Sensor Networks, WILEY, ISBN 978-0-470- 03601-3. [13] Goldsmith A., 2005, Wireless Communications, Stanford University, ISBN: 9780521837163
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Details

Primary Language English
Subjects Engineering
Journal Section Araştırma Articlessi
Authors

Emrullah Gündüzlap This is me

Güngör Yıldırım This is me

Yetkin Tatar

Publication Date December 30, 2015
Published in Issue Year 2015 Volume: 3

Cite

APA Gündüzlap, E., Yıldırım, G., & Tatar, Y. (2015). Determination of General Parameters of WSNs Designed for 3-D Closed Environments. Balkan Journal of Electrical and Computer Engineering, 3, 185-195.

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