Ahmad, Yusuf Ardiansyah (2019) Manajemen Pembagian Beban Pada Transmisi Data Berdasarkan Analisa Performa WSN Menggunakan Algoritma Mesh Routing. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada Umumnya, penelitian dibidang WSN (Wireless Sensor Network) tidak pernah membahas tentang aspek Reliablity pada routing jaringan dengan perangkat router yang dapat menemukan rute baru saat terjadi kerusakan. Sejauh ini, saat router bebannya berlebihan maka hanya diabiarkan saja tanpa ada respon yang memberikan kontrol, sehingga dapat menurunkan kualitas performa jaringan. Oleh karena itu, kita mengajukan dua solusi utama yang dapat memberikan kontribusi pada bidang Computer Science dan khususnya pada Sensor Network. Dengan usulan yang diajukan ini, peneliti menggunakan algoritma AODV routing, dan Mesh routing untuk mencari alternatif rute lain saat terjadi masalah, untuk memberikan kontrol keseimbangan beban yang dijalankan pada Router. Kontrol keseimbangan ini mengatur jumlah beban yang diterima oleh Router dengan membagi beban secara bergiliran dan berurutan dari satu router ke router lainnya. Distribusi paket data dapat dikatakan berkualitas, jika data yang dikirimkan memiliki standar kualitas service atau yang disebut Quality of Service (QoS). Pengujian system dibagi dua sekenario, pertama melakukan uji coba performa jaringan tanpa menerapkan balancing, dan kedua melakuan uji coba performa jaringan dengan menerapkan balancing. Dari kedua percobaan tersebut digunakan parameter QoS sebagai jaminan performa agar lebih efektif dan sesuai harapan. Pengukuran dilakukan dengan menguji parameter packet loss, delay, dan throughput mengirimakan 100 paket sejumlah karakter 235 Bytes dari titik end device ke Coordiantor melalui Router berdasarkan variasi jarak dari 0 – 100 meter. Hasil percobaan membuktikan bahwa performa jaringan dalam menemukan alternatif rute baru telah berhasil dilakukan. Time Recovery pada saat router mati dan berhasil menemukan rute lain hanya menunggu 8,75 detik, hal ini berkaitan dengan parameter delay, dan fault tolerance. Sedangkan pada hasil penelitian penggunaan rule non-balancing system mampu memberikan hasil pengukuran delay sebesar 9,3 detik, dan paket yang loss rata-rata sebesar 37% dalam sekali pengiriman, sedangkan hasil pengujian performa jaringan yang menerapkan system balancing mampu memberikan delay lebih kecil yaitu 6,8 detik, dan packet loss yang dihasilkan rata-rata lebih kecil 20%. Artinya system WSN dengan menerapakan balancing mampu meningkatkan performa QoS sebesar 12 % dan terbukti lebih efektif, dalam perhitungannya angka 17 % ini ditunjangan dari dua aspek pengukuran berdasarkan QoS packet loss dan throughput, hal ini membuktikan bahwa system dynamic routing berhasil meningkatkan kualitas reliability jaringan WSN.
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In general, research in the field of Wireless Sensor Network (WSN) has never discussed the reliability aspect of network routing with router devices that can find new routes when damage occurs. To date, overloaded routers will be ignored without any response that gives control which can reduce the quality of network performance. Therefore, we propose research using the AODV routing, and Mesh routing algorithm to find other routes as an alternative when problems occur and using the Round Robbin based XBee algorithm on providing load balance control carried out by the router. With this proposed thesis, researchers used the AODV routing algorithm, and Mesh routing to look for alternative other routes when problems occur. This balance control regulates the amount of load received by the Router by dividing the load in turns and sequentially from one router to another. Data package distribution can be said to be of quality, if the data sent has a service quality standard or called Quality of Service (QoS). The system test is divided into two scenarios, first testing network performance without applying balancing, and second, testing network performance by applying balancing. From the two experiments, QoS parameters were used as collateral for performance to be more effective and as expected. Measurements were made by testing the parameters of packet loss, delay, throughput, RSSI (Receive Signal Strength Indicator), and fault Tolerance by sending 100 packets of a number of characters 235 bytes from end device to Coordinator via Router based on distance variations from 0 to 100 meters. The experiments on the performance of non-balancing networks and balancing were conducted. Both trials used Quality of Service (QoS) parameters as a guarantee of performance to be more effective and in line with expectations. Measurements performed by testing the parameters of packet loss, delay, throughput, Receive Signal Strength Indicator (RSSI) and fault tolerance. The experimental results prove network performance in finding alternative new routes that have been successfully carried out. Time Recovery when the router is off and has managed to find another route that only waits for 8.75 seconds, this is related to the parameter delay, and fault tolerance. While the results of the study using non-balancing system rules are able to provide measurement results of 9.3 seconds delay, and packages that lose an average of 37% in one shipment, while the results of network performance testing using a balancing system provide a smaller delay such as 6, 8 seconds, and the resulting packet loss is on average 20%. This means that the WSN system applies balancing that can improve QoS performance by 12% and proves to be more effective, in its calculation of 17% this is supported by two aspects calculated based on QoS packet loss and throughput, this proves a dynamic routing system that increases reliability of WSN.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTMT 004.62 Ard m-1 2019 |
| Uncontrolled Keywords: | wireless sensor, routing, QoS, balancing, monitoring, controlling, mesh |
| Subjects: | T Technology > T Technology (General) > T58.6 Management information systems |
| Divisions: | Faculty of Creative Design and Digital Business (CREABIZ) > Technology Management > 61101-(S2) Master Thesis |
| Depositing User: | Ahmad Ardiansyah |
| Date Deposited: | 30 Sep 2024 08:12 |
| Last Modified: | 30 Sep 2024 08:12 |
| URI: | http://repository.its.ac.id/id/eprint/66841 |
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