Rumantyo, Danny Candra (2020) Implementasi Protokol Anchor-Based Street And Traffic Aware Routing (A-Star) Menggunakan Intersection Node Pada Vehicular Ad-Hoc Network (Vanet). Sarjana thesis, Universitas Brawijaya.
Abstract
Vehicular Ad-Hoc Network (VANET) adalah teknologi jaringan nirkabel yang mendukung terjadinya komunikasi kendaraan. Komunikasi yang dapat dibentuk oleh VANET meliputi Inter Vehicle Communication (IVC) dan Vehicle to Roadside Communication (VRC). Permasalahan dan fokus penelitian pada VANET pada umumnya terkait pemilihan protokol routing yang efektif. Terdapat beberapa protokol berbasis topologi di Mobile Ad-Hoc Network (MANET) yang memiliki keterbatasan seperti rentan terhadap pergerakan node yang cepat dan perubahan topologi yang dinamis namun masih digunakan di VANET. Protokol berbasis posisi menghapus keterbatasan tersebut, sehingga merupakan protokol yang paling tepat digunakan di lingkungan VANET. Pada penelitian ini protokol routing yang digunakan yaitu Anchor-Based Street and Traffic Aware Routing (ASTAR). Protokol A-STAR termasuk dalam kategori protokol berbasis posisi dan memiliki mekanisme kerja berdasarkan persimpangan pada jalan. Intersection node adalah node diam yang diletakkan di setiap persimpangan untuk berkomunikasi dengan kendaraan. Penelitian ini menggunakan Simulation of Urban Mobility (SUMO) dan Network Simulator 3 (NS-3) untuk meyimulasikan protokol A-STAR berdasarkan real map. Skenario pengujian yang akan digunakan untuk menguji protokol yaitu jumlah node, kecepatan node, dan jumlah intersection node. Hasil dari pengujian yaitu berupa metrik analisis yang terdiri dari packet delivery ratio, end-to-end delay, routing overhead, convergence time, dan jarak euclidean. Hasil pengujian dari ketiga skenario dari node sumber menuju intersection node menunjukkan rata - rata nilai packet delivery ratio sebesar 85,1%, end-to-end delay sebesar 93,28ms, routing overhead sebanyak 873,88 paket, convergence time sebesar 1,46s, dan jarak euclidean sebesar 104,64m
English Abstract
Vehicular Ad-Hoc Network (VANET) is a wireless network technology that supports vehicle communication. Communications that can be formed by VANET include Inter Vehicle Communication (IVC) and Vehicle to Roadside Communication (VRC). The problems and research focus on VANET in general are related to the selection of effective routing protocols. There are several topologybased protocols in the Mobile Ad-Hoc Network (MANET) which have limitations such as being vulnerable to fast node movement and dynamic topology changes but are still used on VANET. Position-based protocol removes these limitations, so it is the most appropriate protocol used in the VANET environment. In this study the routing protocol used is Anchor-Based Street and Traffic Aware Routing (ASTAR). The A-STAR protocol is included in the position-based protocol category and has a working mechanism based on intersections on the road. Intersection nodes are stationary nodes placed at each intersection to communicate with vehicles. This study uses Simulation of Urban Mobility (SUMO) and Network Simulator 3 (NS-3) to simulate the A-STAR protocol based on a real map. The test scenario that will be used to test the protocol is the number of nodes, node speed, and the number of node intersections. The results of the test are in the form of metric analysis consisting of packet delivery ratio, end-to-end delay, routing overhead, convergence time, and euclidean distance. The test results of the three scenarios from source node to intersection node show the average value of packet delivery ratio of 85.1%, end-to-end delay of 93.28ms, routing overhead of 873.88 packets, convergence time of 1.46s , and euclidean distance of 104.64m.
Other obstract
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| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FILKOM/2020/150/052003341 |
| Uncontrolled Keywords: | VANET, A-STAR, intersection node, NS-3, SUMO, VANET, A-STAR, intersection node, NS-3, SUMO |
| Subjects: | 000 Computer science, information and general works > 006 Special computer methods > 006.3 Artificial intelligence > 006.32 Neural nets (neural networks) |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Budi Wahyono Wahyono |
| Date Deposited: | 10 Aug 2020 06:58 |
| Last Modified: | 14 Apr 2023 01:35 |
| URI: | http://repository.ub.ac.id/id/eprint/180890 |
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Text (DALAM MASA EMBARGO)
Danny Candra Rumantyo (2).pdf Restricted to Registered users only until 31 December 2023. Download (7MB) |
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Text (DALAM MASA EMBARGO)
Danny Candra Rumantyo (2).pdf Restricted to Registered users only until 31 December 2023. Download (7MB) |
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