Research Article
BibTex RIS Cite

Sualtı Tasarsız Ağlarının Başarım Analizi

Year 2023, Volume: 6 Issue: 2, 1079 - 1093, 05.07.2023

Abstract

Sualtı tasarsız ağlar oldukça karmaşık bir ortama sahip olmakla birlikte, karasal radyo tabanlı ağlara göre hem fiziksel hem de teknolojik farklılıklar barındırmaktadır. Ayrıca birçok sorun barındırması nedeniyle bu tür karmaşık haberleşme ağlarını modellemek oldukça zordur. Bu alandaki çalışmalar kablosuz haberleşme teknolojilerindeki yeni gelişmelerden etkilenmektedir. Kablosuz haberleşme için sualtının doğası gereği var olan bazı sınırlılıklar bulunmaktadır. Bu sınırlılıkları aşmak için yeni teknikler ve yaklaşımlar önerilmektedir. Bu çalışmada, insansız sualtı araçlarının birbirleri ile haberleşmesinin başarım analizi gerçekleştirilmiştir. Benzetim programında daha gerçekçi bir haberleşme kanalı için akustik kanalın tüm özellikleri tasarlanmış ve performans analizleri yapılmıştır. Tasarsız ağ biçiminde CSMA/CA protokolü kullanılarak sualtı kanal modeli ile ortamda farklı sayıda insansız sualtı araçlarının haberleşmesinde önemli başarım parametrelerinden bit hata oranı, iş çıkarım oranı, çakışma durumu ve paket kayıp oranları detaylıca incelerek sualtı kanalının haberleşmeye etkileri gözlemlenmiştir.

References

  • Alablani I.A., Arafah M.A. EE-UWSNs: A Joint Energy-Efficient MAC and Routing Protocol for Underwater Sensor Networks. Journal of Marine Science and Engineering 2022; 10(4): 1-25.
  • Çalhan A., Cicioğlu M. Drone-assisted smart data gathering for pandemic situations. Computers & Electrical Engineering 2022; 98: 1-11.
  • Gazi F., Ahmed N., Sudip M., Wei W. Reinforcement Learning-Based MAC Protocol for Underwater Multimedia Sensor Networks. ACM Transactions on Sensor Networks 2022; 18: 1-27.
  • Genç Y. M., Erciyes E. İnsansız Hava Araçları (İHA) Tehditleri ve Güvenlik Yönetimi. Turkish Journal of Unmanned Aerial Vehicles 2020; 2(2): 36-42.
  • Han G., Chenyu Z., Shu L., Rodrigues J.P.C. Impacts of deployment strategies on localization performance in underwater acoustic sensor networks. IEEE Transactions on Industrial Electronics 2015; 62(3): 1725-1733.
  • Jin L., Defeng H. A slotted CSMA based reinforcement learning approach for extending the lifetime of underwater acoustic wireless sensor networks. Computer Communications 2013; 36(9): 1094-1099.
  • Khater E. M., El-Fishawy N., Tolba M. B., Mahmoud D., Badawy M. B. Review of ALOHA-based MAC Protocols for Underwater Wireless Sensor Networks. Mansoura Engineering Journal 2022; 47(1): 12–25.
  • Li L., Jin X., Lu C., Wei Z., Li J. Modelling and Simulation on Acoustic Channel of Underwater Sensor Networks. Wireless Communications and Mobile Computing 2021; 2021: 1–12.
  • Liu M., Zhuo X., Wei Y., Wu Y., Qu F. Packet-Level Slot Scheduling MAC Protocol in Underwater Acoustic Sensor Networks. IEEE Internet of Things Journal 2021; 8(11): 8990–9004.
  • Mackenzie K. V. Nine‐term equation for sound speed in the oceans. The Journal of the Acoustical Society of America 1998; 70(3): 1-6.
  • Riverbed Modeler Software. https://www.riverbed.com/gb/products/steelcentral/steelcentral-riverbed-modeler.html (Erişim Tarihi: 24 Mayıs 2020), 2022.
  • Senel F., Akkaya K., Yilmaz T. Autonomous deployment of sensors for maximized coverage and guaranteed connectivity in underwater acoustic sensor networks. In 38th Annual IEEE Conference on Local Computer Networks: 2013; 211–218, Sydney.
  • Yılmaz G., Yılmaz Y. İnsansız Sualtı Araçlarında (İSA) Hidrodinamik Sürüklenme ve Kaldırma Kuvvetlerinin Derinlik ve Hıza Bağlı Değişiminin HAD İle Analizi. Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi 2022; 14(1): 72–83.
  • Zhang W., Han G., Wang X., Guizani M., Fan K., Shu L. A Node Location Algorithm Based on Node Movement Prediction in Underwater Acoustic Sensor Networks. IEEE Transactions on Vehicular Technology 2020; 69(3): 3166–3178.
  • Zhang W., Wang X., Han G., Peng Y., Guizani M., Sun J. A load-adaptive fair access protocol for MAC in underwater acoustic sensor networks. Journal of Network and Computer Applications 2021; 173: 1-13.
  • Ying Z., Yunlong Q., Haiyang Z. Coverage Enhancing for Underwater Acoustic Sensor Networks Based on Virtual Force and Fruit Fly Optimization Algorithm. Journal of Shanghai Jiaotong University 2017; 51(6): 7-15.

Performance Analysis of Underwater Ad-hoc Networks

Year 2023, Volume: 6 Issue: 2, 1079 - 1093, 05.07.2023

Abstract

Although underwater Ad-hoc networks have a very complex environment, they have both physical and technological differences compared to terrestrial radio-based networks. In addition, it is very difficult to model such complex communication networks due to many problems. Studies in this field are influenced by new developments in wireless communication technologies. There are some limitations for wireless communication due to the nature of underwater. New techniques and approaches are proposed to overcome these limitations. In this study, the performance analysis of the communication of unmanned underwater vehicles has been performed. In the simulation program, all the detail of the acoustic channel have been implemented and performance analyzes have been carried out for a more realistic communication channel. By using the CSMA/CA protocol in the form of an Ad-hoc network, the effects of the underwater channel on the communication have been observed by examining in detail the bit error rate, throughput, collision and packet loss ratio, which are the important performance parameters in the communication of different numbers of unmanned underwater vehicles in the environment with the underwater channel model.

References

  • Alablani I.A., Arafah M.A. EE-UWSNs: A Joint Energy-Efficient MAC and Routing Protocol for Underwater Sensor Networks. Journal of Marine Science and Engineering 2022; 10(4): 1-25.
  • Çalhan A., Cicioğlu M. Drone-assisted smart data gathering for pandemic situations. Computers & Electrical Engineering 2022; 98: 1-11.
  • Gazi F., Ahmed N., Sudip M., Wei W. Reinforcement Learning-Based MAC Protocol for Underwater Multimedia Sensor Networks. ACM Transactions on Sensor Networks 2022; 18: 1-27.
  • Genç Y. M., Erciyes E. İnsansız Hava Araçları (İHA) Tehditleri ve Güvenlik Yönetimi. Turkish Journal of Unmanned Aerial Vehicles 2020; 2(2): 36-42.
  • Han G., Chenyu Z., Shu L., Rodrigues J.P.C. Impacts of deployment strategies on localization performance in underwater acoustic sensor networks. IEEE Transactions on Industrial Electronics 2015; 62(3): 1725-1733.
  • Jin L., Defeng H. A slotted CSMA based reinforcement learning approach for extending the lifetime of underwater acoustic wireless sensor networks. Computer Communications 2013; 36(9): 1094-1099.
  • Khater E. M., El-Fishawy N., Tolba M. B., Mahmoud D., Badawy M. B. Review of ALOHA-based MAC Protocols for Underwater Wireless Sensor Networks. Mansoura Engineering Journal 2022; 47(1): 12–25.
  • Li L., Jin X., Lu C., Wei Z., Li J. Modelling and Simulation on Acoustic Channel of Underwater Sensor Networks. Wireless Communications and Mobile Computing 2021; 2021: 1–12.
  • Liu M., Zhuo X., Wei Y., Wu Y., Qu F. Packet-Level Slot Scheduling MAC Protocol in Underwater Acoustic Sensor Networks. IEEE Internet of Things Journal 2021; 8(11): 8990–9004.
  • Mackenzie K. V. Nine‐term equation for sound speed in the oceans. The Journal of the Acoustical Society of America 1998; 70(3): 1-6.
  • Riverbed Modeler Software. https://www.riverbed.com/gb/products/steelcentral/steelcentral-riverbed-modeler.html (Erişim Tarihi: 24 Mayıs 2020), 2022.
  • Senel F., Akkaya K., Yilmaz T. Autonomous deployment of sensors for maximized coverage and guaranteed connectivity in underwater acoustic sensor networks. In 38th Annual IEEE Conference on Local Computer Networks: 2013; 211–218, Sydney.
  • Yılmaz G., Yılmaz Y. İnsansız Sualtı Araçlarında (İSA) Hidrodinamik Sürüklenme ve Kaldırma Kuvvetlerinin Derinlik ve Hıza Bağlı Değişiminin HAD İle Analizi. Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi 2022; 14(1): 72–83.
  • Zhang W., Han G., Wang X., Guizani M., Fan K., Shu L. A Node Location Algorithm Based on Node Movement Prediction in Underwater Acoustic Sensor Networks. IEEE Transactions on Vehicular Technology 2020; 69(3): 3166–3178.
  • Zhang W., Wang X., Han G., Peng Y., Guizani M., Sun J. A load-adaptive fair access protocol for MAC in underwater acoustic sensor networks. Journal of Network and Computer Applications 2021; 173: 1-13.
  • Ying Z., Yunlong Q., Haiyang Z. Coverage Enhancing for Underwater Acoustic Sensor Networks Based on Virtual Force and Fruit Fly Optimization Algorithm. Journal of Shanghai Jiaotong University 2017; 51(6): 7-15.
There are 16 citations in total.

Details

Primary Language Turkish
Subjects Computer Software
Journal Section RESEARCH ARTICLES
Authors

Murtaza Cicioğlu

Ali Çalhan 0000-0002-5798-3103

Publication Date July 5, 2023
Submission Date May 9, 2022
Acceptance Date October 24, 2022
Published in Issue Year 2023 Volume: 6 Issue: 2

Cite

APA Cicioğlu, M., & Çalhan, A. (2023). Sualtı Tasarsız Ağlarının Başarım Analizi. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 6(2), 1079-1093.
AMA Cicioğlu M, Çalhan A. Sualtı Tasarsız Ağlarının Başarım Analizi. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. July 2023;6(2):1079-1093.
Chicago Cicioğlu, Murtaza, and Ali Çalhan. “Sualtı Tasarsız Ağlarının Başarım Analizi”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6, no. 2 (July 2023): 1079-93.
EndNote Cicioğlu M, Çalhan A (July 1, 2023) Sualtı Tasarsız Ağlarının Başarım Analizi. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6 2 1079–1093.
IEEE M. Cicioğlu and A. Çalhan, “Sualtı Tasarsız Ağlarının Başarım Analizi”, Osmaniye Korkut Ata University Journal of Natural and Applied Sciences, vol. 6, no. 2, pp. 1079–1093, 2023.
ISNAD Cicioğlu, Murtaza - Çalhan, Ali. “Sualtı Tasarsız Ağlarının Başarım Analizi”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6/2 (July 2023), 1079-1093.
JAMA Cicioğlu M, Çalhan A. Sualtı Tasarsız Ağlarının Başarım Analizi. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. 2023;6:1079–1093.
MLA Cicioğlu, Murtaza and Ali Çalhan. “Sualtı Tasarsız Ağlarının Başarım Analizi”. Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 6, no. 2, 2023, pp. 1079-93.
Vancouver Cicioğlu M, Çalhan A. Sualtı Tasarsız Ağlarının Başarım Analizi. Osmaniye Korkut Ata University Journal of Natural and Applied Sciences. 2023;6(2):1079-93.

23487


196541947019414

19433194341943519436 1960219721 197842261021238 23877

*This journal is an international refereed journal 

*Our journal does not charge any article processing fees over publication process.

* This journal is online publishes 5 issues per year (January, March, June, September, December)

*This journal published in Turkish and English as open access. 

19450 This work is licensed under a Creative Commons Attribution 4.0 International License.