Analisis Perbandingan Performansi Strategi Forwarding Multicast dan Self-Learning pada Jaringan Vehicle-to-Vehicle Berbasis Named Data Networking
DOI:
https://doi.org/10.54082/jupin.2645Kata Kunci:
multicast, NDN, self-learning forwarding, strategi forwarding, VANETAbstrak
Vehicular Ad-hoc Network (VANET) merupakan jaringan kendaraan dengan mobilitas tinggi dengan perubahan lokasi yang cepat dan koneksi jaringan yang tidak stabil. Named Data Networking (NDN) merupakan arsitektur internet masa depan yang berpusat pada data (data-centric) dan menyediakan mekanisme forwarding yang bersifat stateful, sehingga sesuai untuk mendukung karakteristik VANET. Pada arsitektur NDN, strategi forwarding berperan penting dalam menentukan efisiensi pengiriman paket. Penelitian ini bertujuan membandingkan performansi dua strategi forwarding pada jaringan VANET berbasis NDN, yaitu strategi multicast-vanet yang berbasis broadcast dan strategi self-learning forwarding yang mampu mempelajari rute secara mandiri tanpa memerlukan protokol routing. Pengujian dilakukan menggunakan simulator ndnSIM yang diintegrasikan dengan Simulation of Urban MObility (SUMO) melalui platform NDN4IVC, dengan skenario jalur kendaraan berbentuk peta grid dan variasi jumlah node kendaraan, serta mengukur tiga parameter performansi, yaitu Cache Hit Ratio, Throughput, dan Round-Trip Time (RTT). Hasil pengujian menunjukkan bahwa strategi self-learning memperoleh rata-rata Cache Hit Ratio lebih tinggi dibandingkan multicast-vanet, sedangkan Throughput kedua strategi hampir identik. Pada parameter RTT, self-learning menghasilkan nilai lebih rendah pada sebagian besar skenario. Hal ini terjadi karena self-learning mempelajari jalur dari mekanisme broadcast dan menetapkan jalur unicast setelah tahap penemuan awal, sehingga pemanfaatan cache lebih efektif dan waktu pertukaran data lebih singkat. Dengan demikian, strategi self-learning forwarding memberikan efisiensi yang lebih baik dibandingkan multicast-vanet pada jaringan VANET-NDN dan dapat menjadi acuan empiris dalam pemilihan strategi forwarding untuk pengembangan jaringan kendaraan berbasis Named Data Networking.
Referensi
Afanasyev, A., Moiseenko, I., & Zhang, L. (2012). ndnSIM: NDN simulator for NS-3 (NDN Technical Report NDN-0005). NDN Project.
Ahed, K., Benamar, M., Lahcen, A. A., & Ouazzani, R. E. (2022). Forwarding strategies in vehicular named data networks: A survey. Journal of King Saud University - Computer and Information Sciences, 34(5), 1819–1835. https://doi.org/10.1016/j.jksuci.2020.06.014.
Al-Qutwani, M., Wang, X., & Yi, B. (2021). Request/advertise-based content forwarding in vehicular named data networking. IEEE Access, 9, 226–236. https://doi.org/10.1109/ACCESS.2020.3046846.
Alkwai, L., Belghith, A., Gazdar, A., & Al-Ahmadi, S. (2022). Comparative analysis of producer mobility management approaches in named data networking. Applied Sciences, 12(24), Article 12581. https://doi.org/10.3390/app122412581.
Amadeo, M., Campolo, C., & Molinaro, A. (2012). CRoWN: Content-centric networking in vehicular ad hoc networks. IEEE Communications Letters, 16(9), 1380–1383. https://doi.org/10.1109/LCOMM.2012.072012.120282.
Amadeo, M., Campolo, C., & Molinaro, A. (2016). Information-centric networking for connected vehicles: A survey and future perspectives. IEEE Communications Magazine, 54(2), 98–104. https://doi.org/10.1109/MCOM.2016.7402268.
Amadeo, M., Ruggeri, G., Campolo, C., & Molinaro, A. (2021). Diversity-improved caching of popular transient contents in vehicular named data networking. Computer Networks, 184, Article 107625. https://doi.org/10.1016/j.comnet.2020.107625.
Araujo, G., Peixoto, M., & Sampaio, L. (2022). NDN4IVC: A framework for simulations of realistic VANETs applications through NDN. Proceedings of the 9th ACM Conference on Information-Centric Networking (ICN), 162–164. https://doi.org/10.1145/3517212.3559483.
Chen, C., Jiang, J., Fu, R., Chen, L., Li, C., & Wan, S. (2022). An intelligent caching strategy considering time-space characteristics in vehicular named data networks. IEEE Transactions on Intelligent Transportation Systems, 23(10), 19655–19667. https://doi.org/10.1109/TITS.2021.3128012.
Chen, M., Mau, D. O., Zhang, Y., Taleb, T., & Leung, V. C. M. (2014). VENDNET: VEhicular Named Data NETwork. Vehicular Communications, 1(4), 208–213. https://doi.org/10.1016/j.vehcom.2014.09.002.
Grassi, G., Pesavento, D., Pau, G., Vuyyuru, R., Wakikawa, R., & Zhang, L. (2014). VANET via named data networking. 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 410–415. https://doi.org/10.1109/INFCOMW.2014.6849267.
Grassi, G., Pesavento, D., Pau, G., Zhang, L., & Fdida, S. (2015). Navigo: Interest forwarding by geolocations in vehicular named data networking. 2015 IEEE 16th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 1–10. https://doi.org/10.1109/WoWMoM.2015.7158165.
Heidari, A., Jabraeil Jamali, M. A., & Jafari Navimipour, N. (2025). Fuzzy logic multicriteria decision-making for broadcast storm resolution in vehicular ad hoc networks. International Journal of Communication Systems, 38(5), Article e6034. https://doi.org/10.1002/dac.6034.
Jacobson, V., Smetters, D. K., Thornton, J. D., Plass, M. F., Briggs, N. H., & Braynard, R. L. (2009). Networking named content. Proceedings of the 5th ACM International Conference on Emerging Networking Experiments and Technologies (CoNEXT), 1–12. https://doi.org/10.1145/1658939.1658941.
Khan, S. A., & Lim, H. (2024). Real-time vehicle tracking-based data forwarding using RLS in vehicular named data networking. IEEE Transactions on Intelligent Transportation Systems, 25(10), 14054–14069. https://doi.org/10.1109/TITS.2024.3395184.
Khan, S. A., Lim, H., & Chaudhry, S. A. (2025). Adaptive data forwarding scheme for diverse infotainment services in vehicular named data networking. IEEE Transactions on Vehicular Technology, 74(5), 8012–8022. https://doi.org/10.1109/TVT.2024.3524122.
Khelifi, H., Luo, S., Nour, B., Moungla, H., Faheem, Y., Hussain, R., & Ksentini, A. (2020). Named data networking in vehicular ad hoc networks: State-of-the-art and challenges. IEEE Communications Surveys & Tutorials, 22(1), 320–351. https://doi.org/10.1109/COMST.2019.2894816.
Kuai, M., Hong, X., & Flores, R. R. (2014). Evaluating interest broadcast in vehicular named data networking. 2014 Third GENI Research and Educational Experiment Workshop (GREE), 77–78. https://doi.org/10.1109/GREE.2014.23.
Liang, T., Pan, J., Rahman, M. A., Shi, J., Pesavento, D., Afanasyev, A., & Zhang, B. (2020). Enabling named data networking forwarder to work out-of-the-box at edge networks. 2020 IEEE International Conference on Communications Workshops (ICC Workshops), 1–6. https://doi.org/10.1109/ICCWorkshops49005.2020.9145304.
Liao, C., Liu, X., & Zhou, H. (2024). Environment-adaptive dynamic caching for vehicular named data networks in dynamic network environments. IEEE Transactions on Vehicular Technology, 73(4), 5861–5871. https://doi.org/10.1109/TVT.2023.3335990.
Lopez, P. A., Behrisch, M., Bieker-Walz, L., Erdmann, J., Flötteröd, Y.-P., Hilbrich, R., Lücken, L., Rummel, J., Wagner, P., & Wießner, E. (2018). Microscopic traffic simulation using SUMO. 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2575–2582. https://doi.org/10.1109/ITSC.2018.8569938.
Mastorakis, S., Afanasyev, A., & Zhang, L. (2017). On the evolution of ndnSIM: An open-source simulator for NDN experimentation. ACM SIGCOMM Computer Communication Review, 47(3), 19–33. https://doi.org/10.1145/3138808.3138812.
Melati, S. R., Yovita, L. V., & Mayasari, R. (2021). Caching performance of named data networking with NDNS. 2021 International Conference on Information Networking (ICOIN), 261–266. https://doi.org/10.1109/ICOIN50884.2021.9333907.
Ngo, M., Ohzahata, S., Yamamoto, R., & Kato, T. (2023). A visual-identification based forwarding strategy for vehicular named data networking. IEICE Transactions on Information and Systems, E106.D(2), 204–217. https://doi.org/10.1587/transinf.2022EDP7084.
Rahman, M. A., & Zhang, B. (2021). On data-centric forwarding in mobile ad-hoc networks: Baseline design and simulation analysis. 2021 International Conference on Computer Communications and Networks (ICCCN), 1–9. https://doi.org/10.1109/ICCCN52240.2021.9522163.
Saxena, D., Raychoudhury, V., Suri, N., Becker, C., & Cao, J. (2016). Named data networking: A survey. Computer Science Review, 19, 15–55. https://doi.org/10.1016/j.cosrev.2016.01.001.
Shi, J., Newberry, E., & Zhang, B. (2017). On broadcast-based self-learning in named data networking. 2017 IFIP Networking Conference (IFIP Networking) and Workshops, 1–9. https://doi.org/10.23919/IFIPNetworking.2017.8264832.
Wang, F., & Hou, R. (2024). Delayed broadcast-based data forwarding strategy for vehicular named data networks. 2024 International Conference on Computing, Networking and Communications (ICNC), 133–138. https://doi.org/10.1109/ICNC59896.2024.10556330.
Wang, J., Luo, J., Ran, Y., Yang, J., Liu, K., & Guo, S. (2023). Towards predictive forwarding strategy in vehicular named data networking. IEEE Transactions on Vehicular Technology, 72(3), 3751–3763. https://doi.org/10.1109/TVT.2022.3209539.
Wang, L., Afanasyev, A., Kuntz, R., Vuyyuru, R., Wakikawa, R., & Zhang, L. (2012). Rapid traffic information dissemination using named data. Proceedings of the 1st ACM Workshop on Emerging Name-Oriented Mobile Networking Design (NoM), 7–12. https://doi.org/10.1145/2248361.2248365.
Xylomenos, G., Ververidis, C. N., Siris, V. A., Fotiou, N., Tsilopoulos, C., Vasilakos, X., Katsaros, K. V., & Polyzos, G. C. (2014). A survey of information-centric networking research. IEEE Communications Surveys & Tutorials, 16(2), 1024–1049. https://doi.org/10.1109/SURV.2013.070813.00063.
Yi, C., Afanasyev, A., Moiseenko, I., Wang, L., Zhang, B., & Zhang, L. (2013). A case for stateful forwarding plane. Computer Communications, 36(7), 779–791. https://doi.org/10.1016/j.comcom.2013.01.005.
Yi, C., Afanasyev, A., Wang, L., Zhang, B., & Zhang, L. (2012). Adaptive forwarding in named data networking. ACM SIGCOMM Computer Communication Review, 42(3), 62–67. https://doi.org/10.1145/2317307.2317319.
Zhang, L., Afanasyev, A., Burke, J., Jacobson, V., Claffy, K. C., Crowley, P., Papadopoulos, C., Wang, L., & Zhang, B. (2014). Named data networking. ACM SIGCOMM Computer Communication Review, 44(3), 66–73. https://doi.org/10.1145/2656877.2656887.
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