Oktananda, Raga Krilido (2016) Implementasi Preferred Group Broadcasting Pada Protokol Ad Hoc On-Demand Distance Vector Untuk Mengatasi Broadcast Storm Dalam Proses Route Discovery. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Saat ini perkembangan teknologi Vehicular Ad Hoc
Networks (VANETs) sudah semakin pesat. Mulai dari penggunaan
pada kendaraan, maupun beberapa peralatan yang lain. Namun
sampai saat ini penggunaan VANETs masih terkendala dengan
metode routing mana yang paling efektif dan paling efisien. Salah
satu metode routing yang paling sering digunakan adalah metode
routing AODV. Namun terdapat kelemahan pada metode ini yakni
RREQ dan RREP akan meningkat jika dalam kondisi mobilitas
tinggi hingga akan terjadi broadcast storm.
Penambahan algoritma PGB pada protokol AODV
bertujuan untuk mengatasi permasalahan broadcast storm pada
proses RREQ. Hasil menunjukkan bahwa protokol AODV+PGB
membuat nilai dari jumlah paket dari protokol yang dikirim lebih
sedikit dari jumlah paket dari protokol AODV dengan nilai 17427
untuk AODV dan 6529 untuk AODV+PGB.
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Nowadays, Vehicular Ad Hoc Networks (VANETs)
Technology has been developed incredibly fast. Starting from the
implementation in vechicles and on other tools. Unfortunately,
there is a problem in using VANETs about choosing the most
effective and efficient routing methode. One of routing method that
is commonly used is AODV routing methode. But there are some
weakness found in this method, the value of RREQ and RREP will
increase if it running in high-mobility condition until it occurs
broadcast storm.
The addition of PGB’s algorithm on AODV protocol is
designed to solve the problem of broadcast storm in RREQ process.
The result show that the protocol of AODV+PGB has less value of
package than AODV’s protocol with value 17427 for AODV and
6529 for AODV+PGB.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSIf 621.384 6 Okt i |
| Uncontrolled Keywords: | AODV, PGB, VANET, routing protokol |
| Subjects: | Q Science > QA Mathematics > QA76.87 Neural networks (Computer Science) |
| Divisions: | Faculty of Information and Communication Technology > Informatics > 55201-(S1) Undergraduate Thesis |
| Depositing User: | EKO BUDI RAHARJO |
| Date Deposited: | 30 Oct 2019 06:52 |
| Last Modified: | 30 Oct 2019 06:52 |
| URI: | http://repository.its.ac.id/id/eprint/71503 |
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