NETWORK FUNCTION VIRTUALIZATION FOR UNDERWATER ACOUSTIC WIRELESS COMMUNICATION USING STOCHASTIC NETWORK CALCULUS

Authors:

T. C. Subash Ponraj,Rajeev Sukumaran,

DOI NO:

https://doi.org/10.26782/jmcms.2020.11.00006

Keywords:

Underwater acoustic wireless communication,Network Function Virtualization,Stochastic Network Calculus,Delay bound,

Abstract

Wireless communication in marine environments is hindered by the unique properties of seawater and the rugged ocean floor. In contrast to land-based communication, underwater conditions are distinct due to the specific characteristics of seawater. This research explores the potential of Network Function Virtualization (NFV) to enhance the monitoring of seaweed farms and underwater properties. As seaweed production is vital for the development of nutritional products, biochemical compounds, and pharmacological research, optimizing its monitoring is crucial. The goal of this study is to leverage NFV to support various aquatic activities. To achieve this, a chain of Virtual Network Functions (VNFs) is proposed to manage service flows, capitalizing on the advancements in NFV. The research employs both simulation and analytical Stochastic Network Calculus (SNC) models to evaluate key performance indicators, including delay bounds, throughput, packet delivery ratio, and energy utilization. Notably, the SNC-based NFV model outperforms simulation results, demonstrating superior performance and potential for improved packet delivery and throughput.

Refference:

I. Awan, Khalid Mahmood, et al. “Underwater wireless sensor networks: A review of recent issues and challenges.” Wireless Communications and Mobile Computing 2019.1 (2019): 6470359, 10.1155/2019/6470359.
II. Bennouri, Hajar, and Amine Berqia. “U-NewReno transmission control protocol to improve TCP performance in Underwater Wireless Sensors Networks.” Journal of King Saud University-Computer and Information Sciences 34.8 (2022): 5746-5758, 10.1016/j.jksuci.2021.08.006.
III. Bhamare, Deval, et al. “Optimal virtual network function placement in multi-cloud service function chaining architecture.” Computer Communications 102 (2017): 1-16, 10.1016/j.comcom.2017.02.011.
IV Bari, Faizul, et al. “Orchestrating virtualized network functions.” IEEE Transactions on Network and Service Management 13.4 (2016): 725-739, 10.1109/TNSM.2016.2569020.
V. Coutinho, Rodolfo WL, et al. “Underwater wireless sensor networks: A new challenge for topology control–based systems.” ACM Computing Surveys (CSUR) 51.1 (2018): 1-36. 10.1145/3154834.
VI. Data Plane Development Kit, Jan. 2021, [online] Available: https://www.dpdk.org/.
VII. Duan, Qiang. “Modeling and performance analysis for service function chaining in the SDN/NFV architecture.” 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft). IEEE, 2018.. IEEE, 10.1109/NETSOFT.2018.8460068.
VIII. Fattah, Salmah, et al. “A survey on underwater wireless sensor networks: Requirements, taxonomy, recent advances, and open research challenges.” Sensors 20.18 (2020): 5393, 10.3390/s20185393.
IX. Fidler, Markus. “Survey of deterministic and stochastic service curve models in the network calculus.” IEEE Communications surveys & tutorials 12.1 (2010): 59-86, 10.1109/SURV.2010.020110.00019.
X. Gouareb, Racha, Vasilis Friderikos, and Abdol-Hamid Aghvami. “Virtual network functions routing and placement for edge cloud latency minimization.” IEEE Journal on Selected Areas in Communications 36.10 (2018): 2346-2357. 10.1109/JSAC.2018.2869955.
XI. Haque, Khandaker Foysal, K. Habibul Kabir, and Ahmed Abdelgawad. “Advancement of routing protocols and applications of underwater wireless sensor network (UWSN) — A survey.” Journal of Sensor and Actuator Networks 9.2 (2020): 19. 10.3390/jsan9020019.
XII. Hassan, Mohamed Khalafalla, et al. “A Short Review on the Dynamic Slice Management in Software-Defined Network Virtualization.” Engineering, Technology & Applied Science Research 13.6 (2023): 12074-12079, 10.48084/etasr.6394.
XIII. Huang, Xiangdang, Shijie Sun, and Qiuling Yang. “Data uploading strategy for underwater wireless sensor networks.” Sensors 19.23 (2019): 5265. 10.3390/s19235265.
XIV. Huh, Jun-Ho. “Reliable user datagram protocol as a solution to latencies in network games.” Electronics 7.11 (2018): 295, 10.3390/electronics7110295.
XV. Le Boudec, Jean-Yves, and Patrick Thiran, eds. Network calculus: a theory of deterministic queuing systems for the internet. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001, https://doi.org/10.1007/3-540-45318-0.
XVI. Liang Y, Ji-Liu Z. et al. “A study of transmission control protocol for satellite network”. In2009 5th International Conference on Wireless Communications, Networking and Mobile Computing (2009), https://doi.org/10.1109/WICOM.2009.5303023.
XVII. Miao, Wang, et al. “Performance modelling and analysis of software-defined networking under bursty multimedia traffic.” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 12.5s (2016): 1-19, https://doi.org/10.1145/2983637.
XVIII. Miao, Wang, et al. “Stochastic performance analysis of network function virtualization in future internet.” IEEE Journal on Selected Areas in Communications 37.3 (2019): 613-626, 10.1109/JSAC.2019.2894304.
XIX. Mijumbi, Rashid, et al. “Network function virtualization: State-of-the-art and research challenges.” IEEE Communications surveys & tutorials 18.1 (2015): 236-262. 10.1109/COMST.2015.2477041.
XX. Omnet++ User Guide. In Version 5.4.1, Budapest, Hungary, 2016.
XXI. Qu, Long, et al. “A reliability-aware network service chain provisioning with delay guarantees in NFV-enabled enterprise datacenter networks.” IEEE Transactions on Network and Service Management 14.3 (2017): 554-568. 10.1109/TNSM.2017.2723090.
XXII. Saravanan, M., et al. “Medium Access Control layer protocol design based on stochastic network calculus for underwater wireless communication in open‐ocean fish farming.” International Journal of Communication Systems 35.8 (2022): e5118, 10.1002/dac.5118.
XXIII. Saravanan, M., Sukumaran, R. et al. “Underwater Cross Layer Protocol Design for Data Link Layer: Stochastic Network Calculus”. International Journal of Computing, (2023), 367-380, 10.47839/ijc.22.3.3233.
XXIV. Stiliadis, Dimitrios, and Anujan Varma. “Latency-rate servers: a general model for analysis of traffic scheduling algorithms.” IEEE/ACM Transactions on networking 6.5 (1998): 611-624, 10.1109/90.731196.
XXV. Stojanovic M. et al. “Acoustic (underwater) communications”. Wiley Encyclopedia of Telecommunications. (2003). 10.1002/0471219282.eot110.
XXVI. Wang, Zenan, Jiao Zhang, and Tao Huang. “Determining delay bounds for a chain of virtual network functions using network calculus.” IEEE Communications Letters 25.8 (2021): 2550-2553. 10.1109/lcomm.2021.3065147.
XXVII. Yang, Guang, Lie Dai, and Zhiqiang Wei. “Challenges, threats, security issues and new trends of underwater wireless sensor networks.” Sensors 18.11 (2018): 3907. 10.3390/s18113907.
XXVIII. Yi, Bo, et al. “A comprehensive survey of network function virtualization.” Computer Networks 133 (2018): 212-262, 10.1016/j.comnet.2018.01.021.
XXIX. https://inet.omnetpp.org/docs/users-guide/

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