Top

Telecommunication Systems

Published in:

24-06-2021

An SDN-based framework for QoS routing in internet of underwater things

Authors: Reza Mohammadi, Amin Nazari, Mohammad Nassiri, Mauro Conti

Published in: Telecommunication Systems | Issue 2/2021

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

In recent years, the Underwater Internet of Things (IoUT) has become a popular technology for exploring the underwater environment. IoUT enables administrators to explore and monitor underwater environmental phenomena from anywhere in the world where there is Internet access. Due to the harsh underwater environment, the reliability of communication between sensor nodes deteriorates, causing certain performance issues such as higher packet loss rate and long end-to-end delay. Therefore, it is essential to manage the communications between the sensors to address these problems in order to improve the QoS. Software-defined networking (SDN) is one of the most promising architectures for providing efficient network management by decoupling the data plane from the control plane of the network. This paper proposes a new QoS routing technique for SDN-based IoUT aiming at improving QoS by establishing reliable paths between sensor nodes. To do this, the controller gathers the 3D coordinates of each underwater sensor in order to compute the distance between the nodes. Then, it estimates the reliability of each link by using underwater acoustic equations. Finally, it calculates the most reliable path with minimum delay and installs the path on the nodes located along it. The experimental results show that our mechanism significantly outperforms other non-SDN approaches in terms of several performance measures ranging from packet loss ratio and end-to-end delay to energy consumption.

previous article Upgrading an analog recovery loop for optimized decoding jointly to an increased data rate

next article Relay selection scheme based on machine learning for enhancing the physical layer secrecy in cognitive radio networks

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Luo, H., Wu, K., Ruby, R., Liang, Y., Guo, Z., & Ni, L. M. (2018). Software-defined architectures and technologies for underwater wireless sensor networks: a survey. IEEE Communications Surveys & Tutorials, 20(4), 2855–2888.CrossRef

Akyildiz, I. F., Pompili, D., & Melodia, T. (2005). Underwater acoustic sensor networks: Research challenges. Ad hoc Networks, 3(3), 257–279.CrossRef

Mohammadi, R., & Javidan, R. (2016). A comparative study on mac protocols of an underwater surveillance system from qos perspective. Journal of Telecommunication Electronic and Computer Engineering (JTEC), 8(1), 45–52.

Manjula, R., & Manvi, S. S. (2011). Issues in underwater acoustic sensor networks. International Journal of Computer and Electrical Engineering, 3(1), 101.

Stojanovic, M. (1999). Underwater acoustic communication. Wiley Encyclopedia of Electrical and Electronics Engineering, 19, 1–12.

Etter, P. C. (2014). Underwater acoustic modeling: principles, techniques and applications. Baco Raton: CRC Press.

Keshtgary, M., Mohammadi, R., Mahmoudi, M., & Mansouri, M. R. (2012). Energy consumption estimation in cluster based underwater wireless sensor networks using m/m/1 queuing model. International Journal of Computer Applications, 43(24), 6–10.

Stojanovic, M. (2003) “Acoustic (underwater) communications,” Wiley Encyclopedia of Telecommunications.

Awan, K. M., Shah, P. A., Iqbal, K., Gillani, S., Ahmad, W., & Nam, Y. (2019). Underwater wireless sensor networks: A review of recent issues and challenges. Wireless Communications and Mobile Computing.

10.

Stojanovic, M., & Preisig, J. (2009). Underwater acoustic communication channels: Propagation models and statistical characterization. IEEE Communications Magazine, 47(1), 84–89.CrossRef

11.

Kao, C.-C., Lin, Y.-S., Wu, G.-D., & Huang, C.-J. (2017). A comprehensive study on the internet of underwater things: applications, challenges, and channel models. Sensors, 17(7), 1477.CrossRef

12.

Domingo, M. C. (2012). An overview of the internet of underwater things. Journal of Network and Computer Applications, 35(6), 1879–1890.CrossRef

13.

Shin, M.-K., Nam, K.-H., & Kim, H.-J. (2012) Software-defined networking (sdn): A reference architecture and open apis. In: 2012 International Conference on ICT Convergence (ICTC), pp. 360–361, IEEE.

14.

Keshari, S.K., Kansal, V., & Kumar, S. (2020) A systematic review of quality of services (qos) in software defined networking (sdn).Wireless Personal Communications, pp. 1–22.

15.

Kobo, H. I., Abu-Mahfouz, A. M., & Hancke, G. P. (2017). A survey on software-defined wireless sensor networks: Challenges and design requirements. IEEE Access, 5, 1872–1899.CrossRef

16.

Demirors, E.,Shi, J.,Duong, A., Dave, N., Guida, R., Herrera, B.,Pop, F., Chen, G., Casella, C. & Tadayon, S. et al. (2018) The seanet project: Toward a programmable internet of underwater things. In 2018 Fourth Underwater Communications and Networking Conference (UComms), pp. 1–5, IEEE

17.

Akyildiz, I. F., Wang, P., & Lin, S.-C. (2016). Softwater: Software-defined networking for next-generation underwater communication systems. Ad Hoc Networks, 46, 1–11.CrossRef

18.

Sharma, C. (2016) Correcting the iot history

19.

Meddeb, A. (2016). Internet of things standards: who stands out from the crowd? IEEE Communications Magazine, 54(7), 40–47.CrossRef

20.

Berlian, M.H., Sahputra, T.E.R., Ardi, B.J.W., Dzatmika, L.W., Besari, A.R.A., Sudibyo, R.W., & Sukaridhoto, S. (2016) “Design and implementation of smart environment monitoring and analytics in real-time system framework based on internet of underwater things and big data. In: 2016 International Electronics Symposium (IES), pp. 403–408, IEEE.

21.

Zhou, Z., Yao, B., Xing, R., Shu, L., & Bu, S. (2015). E-carp: An energy efficient routing protocol for uwsns in the internet of underwater things. IEEE Sensors Journal, 16(11), 4072–4082.CrossRef

22.

Nayyar, A., Ba, C.H., Duc, N.P.C., & Binh, H.D. (2018) Smart-iout 1.0: A smart aquatic monitoring network based on internet of underwater things (iout). In International Conference on Industrial Networks and Intelligent Systems, pp. 191–207. Springer, Berlin.

23.

Urunov, K., Shin, S.-Y., Namgung, J.-I., & Park, S.-H. (2018) High-level architectural design of management system for the internet of underwater things. In: 2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 326–331, IEEE.

24.

Kao, C.-C., Lin, Y.-S.,Wu, G.-D. , & Huang, C.-J. (2017) A study of applications, challenges, and channel models on the internet of underwater things. In: 2017 International Conference on Applied System Innovation (ICASI), pp. 1375–1378, IEEE.

25.

Lima, F. H., Vieira, L. F., Vieira, M. A., Vieira, A. B., & Nacif, J. A. M. (2019). Water ping: Icmp for the internet of underwater things. Computer Networks, 152, 54–63.CrossRef

26.

Xu, M., & Liu, L. (2016) Sender-receiver role-based energy-aware scheduling for internet of underwater things. IEEE Transactions on Emerging Topics in Computing

27.

Luo, Y., Pu, L., Zuba, M., Peng, Z., & Cui, J.-H. (2014). Challenges and opportunities of underwater cognitive acoustic networks. IEEE Transactions on Emerging Topics in Computing, 2(2), 198–211.CrossRef

28.

Jones, E. (2007) The application of software radio techniques to underwater acoustic communications. In OCEANS 2007-Europe, pp. 1–6, IEEE.

29.

Torres, D., Friedman, J., Schmid, T., & Srivastava, M.B. (2009) Software-defined underwater acoustic networking platform. In: Proceedings of the fourth ACM international workshop on underwater networks, p. 7, ACM.

30.

Torres, D., Friedman, J., Schmid, T., Srivastava, M. B., Noh, Y., & Gerla, M. (2015). Software-defined underwater acoustic networking platform and its applications. Ad Hoc Networks, 34, 252–264.CrossRef

31.

Wang, J., Ma, L., & Chen, W. (2017). Design of underwater acoustic sensor communication systems based on software-defined networks in big data. International Journal of Distributed Sensor Networks, 13(7), 1550147717719672.

32.

Qin, C., Du, J., Wang, J., & Ren, Y. (2020). A hierarchical information acquisition system for auv assisted internet of underwater things. IEEE Access, 8, 176089–176100.CrossRef

33.

Lin, C., Han, G., Guizani, M., Bi, Y., & Du, J. (2019). A scheme for delay-sensitive spatiotemporal routing in sdn-enabled underwater acoustic sensor networks. IEEE Transactions on Vehicular Technology, 68(9), 9280–9292.CrossRef

34.

Luo, H., Liu, C., & Liang, Y. (2019) A sdn-based testbed for underwater sensor networks

35.

Fan, R., Wei, L., Du, P., McGoldrick, C., Gerla, M. (2016) A sdn-controlled underwater mac and routing testbed. In: MILCOM 2016-2016 IEEE Military Communications Conference, pp. 1071–1076, IEEE.

36.

Alostad, J. M. (2020). Reliability in iout enabled underwater sensor networks using dynamic adaptive routing protocol. International Journal of Internet Manufacturing and Services, 7(1-2), 115–129.CrossRef

37.

Tuna, G., & Gungor, V. C. (2017). A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks. International Journal of Communication Systems, 30(17), e3350.CrossRef

38.

https://www.mathworks.com/products/matlab.html, “Matlab,”

39.

Yan, H., Shi, Z.J., & Cui, J.-H. (2008) Dbr: depth-based routing for underwater sensor networks. In:International conference on research in networking, pp. 72–86, Springer, Berlin.

40.

https://www.linkquest.com, “Linkquest modem,”

Title: An SDN-based framework for QoS routing in internet of underwater things
Authors: Reza Mohammadi
Amin Nazari
Mohammad Nassiri
Mauro Conti
Publication date: 24-06-2021
Publisher: Springer US
Published in: Telecommunication Systems / Issue 2/2021
Print ISSN: 1018-4864
Electronic ISSN: 1572-9451
DOI: https://doi.org/10.1007/s11235-021-00812-y

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 2/2021

Error performance of generalized M-ary QAM over the Beaulieu-Xie fading

Relay selection scheme based on machine learning for enhancing the physical layer secrecy in cognitive radio networks

A parallel compact sine cosine algorithm for TDOA localization of wireless sensor network

Anti-interference distributed energy-efficient for multi-carrier millimeter-wave ultra-dense networks

Hybrid RF/FSO communications through Reconfigurable Intelligent Surfaces in the presence of pointing errors

Seamless Multicast : an SDN-based architecture for continuous audiovisual transport