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IoT Teknolojilerini Kullanan Afet Sonrası Yönetim Sistemi

Year 2019, Volume: 7 Issue: 2, 298 - 305, 25.05.2019
https://doi.org/10.21541/apjes.474822

Abstract

Deprem, sel vb. afet olaylarından sonra can ve mal kaybı gibi afetin etkilerini azaltmak için afet bölgesinden doğru ve hızlı bilgi
edinilmesi büyük önem arz etmektedir. Bu bilgi afet sonrası yönetim sistemlerinin de etkinliğini arttırmaktadır. Günümüzde
nesnelerin interneti teknolojisi akıllı şehir, akıllı ev, enerji yönetimi, trafik optimizasyonu vb. çok geniş uygulama alanına
sahiptir. Bu çalışmada nesnelerin interneti teknolojilerini kullanan, bulanık mantık temelli karar destek sistemine sahip bir afet
sonrası yönetim sistemi sunulmaktadır. Bu sistem, nesnelerin interneti teknolojilerinden yararlanarak afetten etkilenen hasarlı
bina, etkilenen kişi sayısı gibi bilgilerin elde edilmesi ile afet sonrası yönetim sisteminin kurtarma personeli, ekipman, araç vb.
kaynakları etkili bir şekilde yönetmesini ve planlamasını amaçlanmaktadır. Önerilen sistemin başarım değerlendirmesi 7 baz
istasyonu, 50 WiFi bağlantı noktası ve 10 IoT nesnesi içeren örnek bir senaryo üzerinde sunulmuştur. Bina hasar durumları ile
afet bölgesindeki insan yoğunluğuna ait bilgiler bulanık mantık temelli karar destek sistemi ile üç farklı renkte görselleştirilmiş
ve sınıflandırılmıştır.

References

  • [1] K. Kucuk, C. Bayilmis, A.F. Sonmez, S. Kacar, "Internet of Things Based Disaster Management System Design and Implementation", 2nd International Symposium on Natural Hazards and Disaster Management, Sakarya, 562-571, (2018).
  • [2] N. Tantitharanukul, K. Osathanunkul, K. Hantrakul, P. Pramokchon, P. Khoenkaw, "A review on using soft computing techniques in disaster management and risk assessment", in Proceedings of 2016 1st International Conference on Innovation and Challenges in Cyber Security ICICCS 2016, India, 119-122, (2016).
  • [3] P. Sakhardande, S. Hanagal, S. Kulkarni, "Design of disaster management system using IoT based interconnected network with smart city monitoring" in Proceedings of 2016 International Conference on Internet of Things and Applications IOTA, Pune, India, 185-190, 2016.
  • [4] A. Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications", IEEE Commun. Surveys Tuts, vol. 17, no. 4, pp. 2347–2376, 2015.
  • [5] L. Atzori, A. Iera, and G. Morabito, "The internet of things: A survey", Comput. Netw., vol. 54, no. 15, pp. 2787–2805, 2010.
  • [6] A. Zanella, N. Bui, A. Castellani, L. Vangelista, M. Zorzi, “Internet of Things for Smart Cities,” IEEE Internet of Things Journal, vol. 1, no. 1, pp. 22–32, Feb. 2014.
  • [7] S. Poslad, S. E. Middleton, F. Chaves, R. Tao, O. Necmioglu, U. Bügel, “A Semantic IoT Early Warning System for Natural Environment Crisis Management,” IEEE Trans. Emerging Topics in Computing, vol. 3, no. 2, pp. 246–257, June 2015.
  • [8] I. Benkhelifa, N. Taboudjemat, S.Moussaoui, “Disaster Management Projects using Wireless Sensor Networks: An Overview,” in Proceedings of 28th International Conference on Advanced Information Networking and Applications AINA 2014, Canada, 605-610, (2014).
  • [9] A. S. Bhosle and L. M. Gavhane, “Forest disaster management with wireless sensor network,” in Proceedings of International Conference on Electrical, Electronics, and Optimization Techniques ICEEOT, India, 287-289, (2016).
  • [10] M. Kamruzzaman, N. Sarkar, J. Gutierrez, S. K. Ray, “A study of IoT-based post-disaster management,” in Proceedings of 31st International Conference on Information Networking ICOIN 2017, Vietnam, 406-410, (2017).
  • [11] mqtt.org. http://mqtt.org [online; accessed 01 Feb 2017]
  • [12] ISO/IEC20922:2016. Information technology – Message Queuing Telemetry Transport (MQTT) v.3.1.1. 2016.
  • [13] C. Bayilmis et al., “The design and implementation of remote personel monitoring system in military zones,” 12th International Conference on Electronics, Computer and Computation, Almatı, Kazakistan, 1-4, (2015).
  • [14] A.Sevin, C. Bayilmis, and et al., “Design and Implementation of a Man-Overboard Emergency Discovery System Based On Wireless Sensor Networks,” Turk J Elec Eng & Comp Sci, vol. 24, pp. 762–773, 2016.
  • [15] Y. Guo, J. Zhang, and Y. Zhang, "An Algorithm for Analyzing the City Residents' Activity Information through Mobile Big Data Mining," 2016 IEEE Trustcom/BigDataSE/ISPA, Tianjin, 2133-2138, (2016).
  • [16] E. Ivannikova, "Scalable implementation of dependence clustering in Apache Spark," 2017 Evolving and Adaptive Intelligent Systems (EAIS), Ljubljana, 1-6, (2017).
  • [17] Apache hadoop, [online] Available: http://hadoop.apache.org/.
  • [18] P. Zlateva, D. Velev, "Complex Risk Analysis of Natural Hazards through Fuzzy Logic". Journal of Advanced Management Science. pp. 395–400, 2013.
  • [19] W-K. Chen, G. Sui, D. Tang, "A fuzzy intelligent decision support system for typhoon disaster management". 2011 IEEE Intertanional Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taiwan, 364-367, (2011).
  • [20] P. Zlateva, L. Pashova, K. Stoyanov, D. Velev, "Social Risk Assessment from Natural Hazards Using Fuzzy Logic". International Journal of Social Science and Humanity. pp.193–198, 2011.
  • [21] A. Çalhan, C. Çeken, "An Optimum Vertical Handoff Decision Algorithm Based on Adaptive Fuzzy Logic and Genetic Algorithm",Wireless Personal Commun.. vol 64 no 4, pp. 647–664, 2010.

Post-Disaster Management System Using IoT Technologies

Year 2019, Volume: 7 Issue: 2, 298 - 305, 25.05.2019
https://doi.org/10.21541/apjes.474822

Abstract

It is of great importance to obtain accurate and fast information from the disaster area in order to reduce the effects of disaster
such as loss of life and property after a disaster like earthquake, flood, etc. is occurred. This information also increases the
effectiveness of post-disaster management systems. Nowadays, internet of things technology has a wide range of applications
including smart city, smart home, energy management, traffic optimization and so on. In this study, a post-disaster management
system using internet of things technologies that possesses a fuzzy logic based decision support system is presented. This system
aims to manage and plan resources of a post-disaster management system such as rescue personal, equipment, vehicles etc.
effectively by obtaining information about the number of people and damaged building affected by the disaster. The performance
evaluation of the proposed system is presented on an example scenario including 7 base stations, 50 WiFi connection points and
10 IoT objects. The information on the building damage situation and the human density in the disaster area has been visualized
and classified in three different colors with fuzzy logic based decision support system.

References

  • [1] K. Kucuk, C. Bayilmis, A.F. Sonmez, S. Kacar, "Internet of Things Based Disaster Management System Design and Implementation", 2nd International Symposium on Natural Hazards and Disaster Management, Sakarya, 562-571, (2018).
  • [2] N. Tantitharanukul, K. Osathanunkul, K. Hantrakul, P. Pramokchon, P. Khoenkaw, "A review on using soft computing techniques in disaster management and risk assessment", in Proceedings of 2016 1st International Conference on Innovation and Challenges in Cyber Security ICICCS 2016, India, 119-122, (2016).
  • [3] P. Sakhardande, S. Hanagal, S. Kulkarni, "Design of disaster management system using IoT based interconnected network with smart city monitoring" in Proceedings of 2016 International Conference on Internet of Things and Applications IOTA, Pune, India, 185-190, 2016.
  • [4] A. Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications", IEEE Commun. Surveys Tuts, vol. 17, no. 4, pp. 2347–2376, 2015.
  • [5] L. Atzori, A. Iera, and G. Morabito, "The internet of things: A survey", Comput. Netw., vol. 54, no. 15, pp. 2787–2805, 2010.
  • [6] A. Zanella, N. Bui, A. Castellani, L. Vangelista, M. Zorzi, “Internet of Things for Smart Cities,” IEEE Internet of Things Journal, vol. 1, no. 1, pp. 22–32, Feb. 2014.
  • [7] S. Poslad, S. E. Middleton, F. Chaves, R. Tao, O. Necmioglu, U. Bügel, “A Semantic IoT Early Warning System for Natural Environment Crisis Management,” IEEE Trans. Emerging Topics in Computing, vol. 3, no. 2, pp. 246–257, June 2015.
  • [8] I. Benkhelifa, N. Taboudjemat, S.Moussaoui, “Disaster Management Projects using Wireless Sensor Networks: An Overview,” in Proceedings of 28th International Conference on Advanced Information Networking and Applications AINA 2014, Canada, 605-610, (2014).
  • [9] A. S. Bhosle and L. M. Gavhane, “Forest disaster management with wireless sensor network,” in Proceedings of International Conference on Electrical, Electronics, and Optimization Techniques ICEEOT, India, 287-289, (2016).
  • [10] M. Kamruzzaman, N. Sarkar, J. Gutierrez, S. K. Ray, “A study of IoT-based post-disaster management,” in Proceedings of 31st International Conference on Information Networking ICOIN 2017, Vietnam, 406-410, (2017).
  • [11] mqtt.org. http://mqtt.org [online; accessed 01 Feb 2017]
  • [12] ISO/IEC20922:2016. Information technology – Message Queuing Telemetry Transport (MQTT) v.3.1.1. 2016.
  • [13] C. Bayilmis et al., “The design and implementation of remote personel monitoring system in military zones,” 12th International Conference on Electronics, Computer and Computation, Almatı, Kazakistan, 1-4, (2015).
  • [14] A.Sevin, C. Bayilmis, and et al., “Design and Implementation of a Man-Overboard Emergency Discovery System Based On Wireless Sensor Networks,” Turk J Elec Eng & Comp Sci, vol. 24, pp. 762–773, 2016.
  • [15] Y. Guo, J. Zhang, and Y. Zhang, "An Algorithm for Analyzing the City Residents' Activity Information through Mobile Big Data Mining," 2016 IEEE Trustcom/BigDataSE/ISPA, Tianjin, 2133-2138, (2016).
  • [16] E. Ivannikova, "Scalable implementation of dependence clustering in Apache Spark," 2017 Evolving and Adaptive Intelligent Systems (EAIS), Ljubljana, 1-6, (2017).
  • [17] Apache hadoop, [online] Available: http://hadoop.apache.org/.
  • [18] P. Zlateva, D. Velev, "Complex Risk Analysis of Natural Hazards through Fuzzy Logic". Journal of Advanced Management Science. pp. 395–400, 2013.
  • [19] W-K. Chen, G. Sui, D. Tang, "A fuzzy intelligent decision support system for typhoon disaster management". 2011 IEEE Intertanional Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taiwan, 364-367, (2011).
  • [20] P. Zlateva, L. Pashova, K. Stoyanov, D. Velev, "Social Risk Assessment from Natural Hazards Using Fuzzy Logic". International Journal of Social Science and Humanity. pp.193–198, 2011.
  • [21] A. Çalhan, C. Çeken, "An Optimum Vertical Handoff Decision Algorithm Based on Adaptive Fuzzy Logic and Genetic Algorithm",Wireless Personal Commun.. vol 64 no 4, pp. 647–664, 2010.
There are 21 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Articles
Authors

Kerem Küçük 0000-0002-2621-634X

Cüneyt Bayılmış

Ahmet Furkan Sönmez This is me 0000-0002-5678-2860

Sezgin Kaçar 0000-0002-5171-237X

Publication Date May 25, 2019
Submission Date October 25, 2018
Published in Issue Year 2019 Volume: 7 Issue: 2

Cite

IEEE K. Küçük, C. Bayılmış, A. F. Sönmez, and S. Kaçar, “IoT Teknolojilerini Kullanan Afet Sonrası Yönetim Sistemi”, APJES, vol. 7, no. 2, pp. 298–305, 2019, doi: 10.21541/apjes.474822.

Cited By

AFETİN TEKNOLOJİK YÖNETİMİ: TÜRKİYE’DEN VE TÜRKİYE’YE DERSLER
Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Cenay BABAOĞLU
https://doi.org/10.25287/ohuiibf.731103