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ITS » Master Theses » Telekomunikasi Multimedia S2
Posted by fandikaaqsa@yahoo.co.id at 31/12/2014 21:27:00  •  1569 Views


DESAIN TOPOLOGI KOMUNIKASI WIRELESS SENSOR NETWORK WSN PADA APLIKASI SISTEM STRUCTURAL HEALTH MONITORING SHM JEMBATAN

COMMUNICATION TOPOLOGY DESIGN OF WIRELESS SENSOR NETWORK WSN FOR BRIDGE STRUCTURAL HEALTH MONITORING SHM SYSTEM APPLICATION

Author :
AMALINA, EVY NUR ( 2212203016 )




ABSTRAK

Peristiwa runtuhnya Jembatan Kutai Kertanegara pada tanggal 26 November 2011 yang panjangnya 720 meter memberikan pelajaran bahwa pentingnya monitoring jembatan sehingga dapat diketahui bagaimana perilaku jembatan tersebut agar dapat diantisipasi kerusakannya. Pemantauan jembatan dapat dilakukan dengan mengimplementasikan sistem SHM Structural Health Monitoring berbasis WSN Wireless Sensor Network. SHM yang berbasis WSN memiliki banyak kelebihan dibandingkan dengan berbasis kabel karena selain biaya instalasi pemeliharaan dan perbaikan murah WSN memiliki dimensi yang kecil sehingga dapat ditaruh di lingkungan yang tak terjangkau. Selain itu komunikasi data WSN lebih praktis dengan menggunakan komunikasi Ad Hoc dan multihop. Namun WSN memiliki kekurangan yaitu kapasitas dan daya baterai WSN kecil sehingga diperlukan topologi yang dapat menghemat komunikasi dan energi agar WSN dapat digunakan dengan jangka waktu yang lama. Mendesain topologi yang sesuai dengan lingkungan merupakan salah satu cara untuk menghemat energi. Pada penelitian ini dilakukan simulasi dengan menggunakan simulatort NS-2 berdasarkan karakteristik Xbee Pro v1.xCx dengan dua asumsi. Asumsi yang pertama adalah dimana sepuluh node sensor akan bergantian mengirimkan paket data menuju sink secara bergantian. Sedangkan asumsi yang kedua adalah jika terdapat sebuah kendaraan yang melintasi jembatan dari kiri ke kanan sehingga node sensor akan mengirimkan paket data menuju sink mengikuti gerakan kendaraan. Pada topologi star asumsi pertama didapatkan nilai dari parameter kinerja jaringan seperti packet loss delay end-to-end rata-rata throughput energi end-toend rata-rata yang dihasilkan masing-masing adalah 8999 6597 ms 089 kbps dan 5512 Joule. Sedangkan pada asumsi yang kedua didapatkan nilai dari parameter kinerja jaringan seperti packet loss delay end-to-end rata-rata throughput energi end-to-end rata-rata yang dihasilkan masing-masing adalah 9002 675 ms 160 kbps dan 0318 Joule. Berdasarkan parameter kinerja jaringan maka topologi star tidak dapat diimplementasikan pada sistem SHM jembatan. Pada topologi mesh asumsi pertama didapatkan nilai dari parameter kinerja jaringan seperti packet loss delay end-to-end rata-rata throughput energi end-toii end rata-rata yang dihasilkan masing-masing adalah 00027 230265 ms 800 kbps dan 22238 Joule. Sedangkan pada asumsi kedua didapatkan nilai dari parameter kinerja jaringan seperti packet loss delay end-to-end rata-rata throughput energi end-to-end rata-rata yang dihasilkan masing-masing adalah 055 3443 ms 1598 kbps dan 601 Joule. Berdasarkan parameter kinerja jaringan maka topologi mesh dapat diimplementasikan pada sistem SHM jembatan. Pada topologi half tree asumsi pertama didapatkan nilai dari parameter kinerja jaringan seperti packet loss delay end-to-end rata-rata throughput energi end-to-end rata-rata yang dihasilkan masing-masing adalah 00027 230273 ms 800 kbps dan 21971 Joule. Sedangkan asumsi kedua didapatkan nilai dari parameter kinerja jaringan seperti packet loss delay end-to-end rata-rata throughput energi end-to-end rata-rata yang dihasilkan masing-masing adalah 443 3348 ms 1535 kbps dan 623 Joule. Berdasarkan parameter kinerja jaringan maka topologi half tree dapat diimplementasikan pada sistem SHM jembatan. Dari penelitian yang dilakukan topologi mesh merupakan topologi yang terbaik untuk diimplementasikan pada Sistem SHM Jembatan.


ABSTRACT

Kertanegara Kutai bridge which has 720 meters in length collapsed on November 26 2011. From this accident has shown that monitoring the bridge is very important. The monitoring can be seen how the behavior of the bridge so that the damage can be anticipated. Bridge monitoring system can be done by implementing SHM Structural Health Monitoring based on WSN Wireless Sensor Network. WSN-based in SHM has many advantages over cable because it has no addition in cost of installing raising and repairing and WSN has small dimensions so that it can be placed in an environment that is not affordable. In addition data communication with WSN more practical to use with Ad Hoc and multihop communication. However WSN has disadvantage such as has small battery and capacity. Because of that it required topology to conserve energy of communication and can be used with longer lifetime. In addition the topology should be implemented on WSN-based SHM bridge. Topology design is the one way to save the energy. In this research is simulate with NS-2 simulator based on XBee Pro v1.xCx with two assumptions. The first assumption is ten sensor nodes will send data packets to the sink alternately. The second assumption is if there is a vehicle crosses the bridge from left to right so that the sensor nodes will send data packets to the sink follow movement of vehicles. In the star topology of the first assumption we get the value of network performance parameter such as packet loss average end-to-end delay throughput and average end-to-end energy are 89.99 6.597 ms 0.89 kbps and 5.512 Joule. Meanwhile in the second assumption we get the value of network performance parameter such as packet loss average end-to-end delay throughput and average end-to-end energy are 90.02 6.75 ms 1.60 kbps and 0.318 Joule. Based on the performance parameter star topology can not be implemented in Bridge SHM system. In the mesh topology of the first assumption we get the value of network performance parameter such as packet loss average end-to-end delay throughput and average end-to-end energy are 0.0027 23.0265 ms 8.00 kbps and 222.38 Joule. Meanwhile in the second assumption we get the value of network performance parameter such as packet loss average end-to-end delay throughput and average end-to-end energy are 0.55 34.43 ms 15.98 kbps and 6.01 Joule. Based on the parameter values above so that mesh topology can be implemented in Bridge SHM system. In the half tree topology of the first assumption we get the value of network performance parameter such as packet loss average end-to-end delay throughput and average end-to-end energy are 0.0027 23.0273 ms 8.00 kbps and 219.71 Joule. Meanwhile in the second assumption we get the value of network performance parameter such as packet loss average end-to-end delay throughput and average end-to-end energy are 4.43 33.48 ms 15.35 kbps and 6.23 Joule. Based on the parameter values above so that half tree topology can be implemented in Bridge SHM system. Based on this research mesh topology is the best topology to be implemented in Bridge SHM System.



Keywordsefisiensi energi ; SHM ; topologi ; WSN
 
Subject:  Komunikasi Digital
Contributor
  1. Eko Setijadi, ST., MT., PhD
Date Create: 31/12/2014
Type: Text
Format: PDF
Language: Indonesian
Identifier: ITS-Master-22103140001108
Collection ID: 22103140001108
Call Number: RTE 621.384 11 Ama k


Source
Master Thesis of Electrical Engineering RTE 621.384 11 Ama k, 2014

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Copyright @2014 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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  3.  ITS-Master-35187-2212203016-conclusion.pdf - 282 KB




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