Running Smart Monitoring Maintenance Application Using Cooja Simulator

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In recent years, the range of sensing technologies has expanded rapidly, whereas sensors present many advantages including flexibility, low cost, easy deployment and so on. Therefore, WSN (Wireless Sensor Network) can play a vital role in the Industry 4.0 framework. This has led to a rapid expansion in smart factories and intelligent manufacturing systems. Integration intelligent network sensors in case of remote maintenance applications that link information technology solutions with condition-based maintenance have not been considered before, for that the proposed application will enable industrial manufacturing to implement condition-based maintenance for the health status of industrial equipment. The paper presents system architecture and hardware organization, explain the choice of sensors devices; as well as the identification of sensor configurations and network topologies; also the choice of the more appropriate platform based on the power consumption in a comparative way using Contiki software.

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149-159

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April 2019

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© 2019 Trans Tech Publications Ltd. All Rights Reserved

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[1] Q. Chi, H. Yan, C. Zhang, Z. Pang, and L. Da Xu, A reconfigurable smart sensor interface for industrial WSN in IoT environment,, IEEE Trans. Ind. Informatics, vol. 10, no. 2, p.1417–1425, (2014).

DOI: 10.1109/tii.2014.2306798

Google Scholar

[2] Z. Liqiang, Y. Shouyi, L. Leibo, Z. Zhen, and W. Shaojun., A Crop Monitoring System Based on Wireless Sensor Network,, Procedia Environ. Sci., vol. 11, p.558–565, (2011).

DOI: 10.1016/j.proenv.2011.12.088

Google Scholar

[3] E. Jovanov, A. O. Lords, D. Raskovic, P. G. Cox, R. Adhami, and F. Andrasik, Stress monitoring using a distributed wireless intelligent sensor system.,, IEEE Eng. Med. Biol. Mag., vol. 22, no. 3, p.49–55, (2003).

DOI: 10.1109/memb.2003.1213626

Google Scholar

[4] A. Milenković, C. Otto, and E. Jovanov, Wireless sensor networks for personal health monitoring: Issues and an implementation,, Comput. Commun., vol. 29, no. 13–14, p.2521–2533, (2006).

DOI: 10.1016/j.comcom.2006.02.011

Google Scholar

[5] S. M. R. Islam, D. Kwak, and H. Kabir, The Internet of Things for Health Care : A Comprehensive Survey,, vol. 3, (2015).

Google Scholar

[6] A. Van Den Bossche, E. Campo, N. Vigouroux, and F. Vella, Réseau de capteurs sans fil distribués pour le monitoring des activités de vie au sein d ' une maison intelligente,, vol. 3, no. 1, p.3–7.

Google Scholar

[7] A. A. Kumar S., K. Ovsthus, and L. M. Kristensen., An industrial perspective on wireless sensor networks-a survey of requirements, protocols, and challenges,, IEEE Commun. Surv. Tutorials, vol. 16, no. 3, p.1391–1412, (2014).

DOI: 10.1109/surv.2014.012114.00058

Google Scholar

[8] J. Akerberg, M. Gidlund, and M. Bjorkman, Future research challenges in wireless sensor and actuator networks targeting industrial automation,, 2011 9th IEEE Int. Conf. Ind. Informatics, p.410–415, (2011).

DOI: 10.1109/indin.2011.6034912

Google Scholar

[9] V. C. Gungor and G. P. Hancke, Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches,, IEEE Trans. Ind. Electron., vol. 56, no. 10, p.4258–4265, (2009).

DOI: 10.1109/tie.2009.2015754

Google Scholar

[10] A. Flammini, P. Ferrari, D. Marioli, E. Sisinni, and A. Taroni, Wired and wireless sensor networks for industrial applications,, Microelectronics J., vol. 40, no. 9, p.1322–1336, (2009).

DOI: 10.1016/j.mejo.2008.08.012

Google Scholar

[11] X. Li, D. Li, J. Wan, A. V. Vasilakos, C. F. Lai, and S. Wang, A review of industrial wireless networks in the context of Industry 4.0,, Wirel. Networks, vol. 23, no. 1, p.23–41, (2017).

DOI: 10.1007/s11276-015-1133-7

Google Scholar

[12] M. R. Akhondi, A. Talevski, S. Carlsen, and S. Petersen, Applications of Wireless Sensor Networks in the Oil, Gas and Resources Industries,, Adv. Inf. Netw. Appl. (AINA), 2010 24th IEEE Int. Conf., p.941–948, (2010).

DOI: 10.1109/aina.2010.18

Google Scholar

[13] M. C. Garcia, M. A. Sanz-Bobi, and J. del Pico, SIMAP: Intelligent System for Predictive Maintenance. Application to the health condition monitoring of a windturbine gearbox,, Comput. Ind., vol. 57, no. 6, p.552–568, (2006).

DOI: 10.1016/j.compind.2006.02.011

Google Scholar

[14] M. Hermann, T. Pentek, and B. Otto, Design Principles for Industrie 4 . 0 Scenarios,, (2016).

Google Scholar

[15] Y. Liao, F. Deschamps, E. de F. R. Loures, and L. F. P. Ramos, Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal,, Int. J. Prod. Res., vol. 55, no. 12, p.3609–3629, (2017).

DOI: 10.1080/00207543.2017.1308576

Google Scholar

[16] L. Da Xu, W. He, and S. Li, Internet of things in industries: A survey,, IEEE Trans. Ind. Informatics, vol. 10, no. 4, p.2233–2243, (2014).

DOI: 10.1109/tii.2014.2300753

Google Scholar

[17] J.-H. Shin and H.-B. Jun, On condition based maintenance policy,, J. Comput. Des. Eng., vol. 2, no. 2, p.119–127, (2015).

Google Scholar

[18] A. Prajapati, J. Bechtel, and S. Ganesan, Condition based maintenance: a survey,, J. Qual. Maint. Eng., vol. 18, no. 4, p.384–400, (2012).

DOI: 10.1108/13552511211281552

Google Scholar

[19] A. Bousdekis, B. Magoutas, D. Apostolou, and G. Mentzas, A proactive decision making framework for condition-based maintenance,, Ind. Manag. Data Syst., vol. 115, no. 7, p.1225–1250, (2015).

DOI: 10.1108/imds-03-2015-0071

Google Scholar

[20] A. J. Guillén, A. Crespo, J. F. Gómez, and M. D. Sanz, A framework for effective management of condition based maintenance programs in the context of industrial development of E-Maintenance strategies,, Comput. Ind., vol. 82, p.170–185, (2016).

DOI: 10.1016/j.compind.2016.07.003

Google Scholar

[21] V. J. Hodge, S. O'Keefe, M. Weeks, and A. Moulds, Wireless {Sensor} {Networks} for {Condition} {Monitoring} in the {Railway} {Industry}: {A} {Survey},, IEEE Trans. Intell. Transp. Syst., vol. 16, no. 3, p.1088–1106, (2015).

DOI: 10.1109/tits.2014.2366512

Google Scholar

[22] G. Zhao, Wireless Sensor Networks for Industrial Process Monitoring and Control: A Survey,, Netw. Protoc. Algorithms, vol. 3, no. 1, p.46–63, (2011).

Google Scholar

[23] A. Kumar and S. Gupta, Study on ZIGBEE Technology,, vol. 2, no. 10, p.297–301, (2013).

Google Scholar

[24] I. C. Magazine, C. Gomez, U. Polit, and C. B. Universit, From 6LoWPAN to 6Lo : Expanding the Universe of IPv6-Supported Technologies for the Internet of Things,, no. January, (2017).

DOI: 10.1109/mcom.2017.1600534

Google Scholar

[25] Moteiv Corporation, Moteiv: tmote sky low power wireless sensor module,, Prod. Data Sheet, p.1–28, (2006).

Google Scholar

[26] A.~Dunkels, B.~Gronvall, and T.~Voigt, Contiki -- A Lightweight and Flexible Operating System for Tiny Networked Sensors," LCN ,04 Proc. 29$^{th}$ Annu. {IEEE} Int. Conf. Local Comput. Networks, p.455–462, (2004).

DOI: 10.1109/lcn.2004.38

Google Scholar

[27] P. Kugler, P. Nordhus, and B. Eskofier, Shimmer, Cooja and Contiki: A new toolset for the simulation of on-node signal processing algorithms,, 2013 IEEE Int. Conf. Body Sens. Networks, BSN 2013, (2013).

DOI: 10.1109/bsn.2013.6575497

Google Scholar

[28] B. Khelifa, D. Amel, B. Amel, C. Mohamed, and B. Tarek, Smart irrigation using internet of things,, 2015 4th Int. Conf. Futur. Gener. Commun. Technol. FGCT 2015, no. Fgct, p.91–96, (2015).

DOI: 10.1109/fgct.2015.7300252

Google Scholar

[29] T. Coimbatore, RPL Optimization for Precise Green House Management using Wireless Sensor Network,, Icgccee, p.1–6, (2014).

DOI: 10.1109/icgccee.2014.6922254

Google Scholar

[30] A. Velinov and A. Mileva, Running and Testing Applications for Contiki OS Using Cooja Simulator,, Int. Conf. Inf. Technol. Dev. Educ., p.279–285, (2016).

Google Scholar

[31] https://www.link-labs.com/blog/complete-list-iot-network-protocols.

Google Scholar

[32] https://github.com/Zolertia/Resources/wiki/The-Z1-mote.

Google Scholar