• Icha Nurlaela Khoerotunisa Telecommunication Engineering, School of Electrical Engineering, Telkom University, Indonesia
  • Sofia Naning Hertiana Telecommunication Engineering, School of Electrical Engineering, Telkom University, Indonesia
  • Ridha Muldina Negara Telecommunication Engineering, School of Electrical Engineering, Telkom University, Indonesia
Keywords: dijkstra, quality of service, random direction, Software-Defined Wireless Network, user mobility



Over the last decade, wireless devices have developed rapidly until predictions will develop with high complexity and dynamic. So that new capabilities are needed for wireless problems in this problem. Software Defined Network (SDN) is generally a wire-based network, but to meet the needs of users in terms of its implementation, it has begun to introduce a Wireless-based SDN called Software Defined Wireless Network (SDWN) which provides good service quality and reach and higher tools, so as to be able to provide new capabilities to wireless in a high complexity and very dynamic. When SDN is implemented in a wireless network it will require a routing solution that chooses paths due to network complexity. In this paper, SDWN is tested by being applied to mesh topologies of 4,6 and 8 access points (AP) because this topology is very often used in wireless-based networks. To improve network performance, Dijkstra's algorithm is added with the user mobility scheme used is RandomDirection. The Dijkstra algorithm was chosen because it is very effective compared to other algorithms. The performance measured in this study is Quality of Service (QoS), which is a parameter that indicates the quality of data packets in a network. The measurement results obtained show that the QoS value in this study meets the parameters considered by the ITU-T G1010 with a delay value of 1.3 ms for data services and packet loss below 0.1%. When compared with the ITU-T standard, the delay and packet loss fall into the very good category.


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K. Pahlavan and P. Krishnamurthy, “Evolution and Impact of Wi-Fi Technology and Applications: A Historical Perspective,” Int. J. Wirel. Inf. Networks, no. 0123456789, 2020, doi: 10.1007/s10776-020-00501-8.

M. J. Abbas, “Interoperability Framework for Wireless Standards-Performance Analysis,” IEEE Int. Conf. 2018 Recent Adv. Eng. Technol. Comput. Sci. RAETCS 2018, pp. 1–5, 2018, doi: 10.1109/RAETCS.2018.8443818.

R. Karmakar, S. Chattopadhyay, and S. Chakraborty, “Impact of IEEE 802.11n/ac PHY/MAC high throughput enhancements over transport/application layer protocols - A survey,” arXiv, vol. 19, no. 4, pp. 2050–2091, 2017.

A. Lopez-Raventos, F. Wilhelmi, S. Barrachina-Munoz, and B. Bellalta, “Combining software defined networks and machine learning to enable self organizing wlans,” Int. Conf. Wirel. Mob. Comput. Netw. Commun., vol. 2019–Octob, no. 19, pp. 167–174, 2019, doi: 10.1109/WiMOB.2019.8923569.

I. Technology and S. Arabia, “On Software-De fi ned Wireless Network ( SDWN ) Network Virtualization : Challenges and Open Issues,” no. January, pp. 1510–1519, 2018.

I. Attamimi, W. Yahya, and M. Hanfi, Hannats, “Analisis Perbandingan Algoritma Floyd-Warshall dan Dijkstra untuk Menentukan Jalur Terpendek Pada Jaringan Openflow,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 1, no. 12, pp. 1842–1849, 2017.

B. Anggita Linuwih, A. Virgono, and B. Irawan, “Design and Analysis Software Defined Networking for Lan Network : Application,” e-Proceeding Eng., vol. 3, no. 1, pp. 749–756, 2016.

A. Yusup, R. M. Negara, and D. D. Sanjoyo, “Analisis Implementasi Software-Defined Wireless Network ( Sdwn ) Menggunakan Mininet-Wifi Analysis of Software-Defined Wireless Network ( Sdwn ) Implementation Using Mininet-Wifi,” Bandung, 2019.

M. S. Annas and D. Maulana, “Perancangan Audio Streaming Menggunakan Wifi Berbasis Mikrokontroler ATMega 328,” vol. 1, no. 1, pp. 27–32, 2019.

S. W. G. Abusalim, R. Ibrahim, M. Zainuri Saringat, S. Jamel, and J. Abdul Wahab, “Comparative Analysis between Dijkstra and Bellman-Ford Algorithms in Shortest Path Optimization,” IOP Conf. Ser. Mater. Sci. Eng., vol. 917, no. 1, 2020, doi: 10.1088/1757-899X/917/1/012077.

S. Waleed, M. Faizan, M. Iqbal, and M. I. Anis, “Demonstration of single link failure recovery using Bellman Ford and Dijikstra algorithm in SDN,” ICIEECT 2017 - Int. Conf. Innov. Electr. Eng. Comput. Technol. 2017, Proc., pp. 0–3, 2017, doi: 10.1109/ICIEECT.2017.7916533.

S. Avallone, D. Emma, A. Pescapè, and G. Ventre, “A practical demonstration of network traffic generation,” in Proceedings of the Eighth IASTED International Conference on Internet and Multimedia Systems and Applications, 2004, pp. 138–143.

T. Camp, J. Boleng, and V. Davies, “A survey of mobility models for ad hoc network research,” Wirel. Commun. Mob. Comput., vol. 2, no. 5, pp. 483–502, 2002, doi: 10.1002/wcm.72.

D. Priadi, A. Muzakhim, N. Suharto, J. T. Digital, J. T. Elektro, and P. N. Malang, “Pengukuran Quality of Service ( QoS ) Pada Aplikasi File Sharing Dengan Metode Client-Server Berbasis Android,” J. JARTEL, vol. 6, no. 1, pp. 39–49, 2018.

ITU-T, “End-user Multimedia QoS Categories,” vol. 1010, 2001.

How to Cite
I. N. Khoerotunisa, S. N. Hertiana, and R. M. Negara, “ANALYSIS OF USER MOBILITY PERFORMANCE ON SOFTWARE DEFINED WIRELESS NETWORK USING DIJKSTRA ALGORITHM”, J. Tek. Inform. (JUTIF), vol. 2, no. 2, pp. 127-133, Mar. 2021.