RESOURCE AWARE DATA STREAM CLUSTERING DAN FREQUENT ITEM DENGAN DISTANCE VECTOR ROUTING PADA WIRELESS SENSOR NETWORKS

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ITS » Master Theses » Teknik Informatika - S2
Posted by zamrud@its.ac.id at 17/03/2012 12:39:15 • 237 Views

RESOURCE AWARE DATA STREAM CLUSTERING DAN FREQUENT ITEM DENGAN DISTANCE VECTOR ROUTING PADA WIRELESS SENSOR NETWORKS

RESOURCE AWARE DATA STREAM CLUSTERING AND FREQUENT ITEM WITH DISTANCE VECTOR ROUTING ON WIRELESS SENSOR NETWORKS

Created by :
SYARIF, MUHAMMAD ILYAS ( 5109201040 )

Subject:	Instrumen Optik
Alt. Subject :	Wireless sensor networks Cluster analysis--computer programs Algorithms
Keyword:	AGS LWC LWF Resource-Aware Distance Vector RA-CluFIDV.

Description:

Komunikasi data pada perangkat jaringan wireless sensor saat ini telah banyak dilakukan secara streaming dengan kecepatan tinggi, sehingga banyak peneliti melakukan penelitian dalam bidang ini. Salah satunya adalah algoritma Granularity Setting atau disebut juga Resource-Aware (RA). RA melibatkan proses input yang berhubungan dengan baterai, proses output yang berhubungan dengan memori, dan proses pengolahan data yang berhubungan dengan CPU. Algoritma ini sangat efektif untuk meningkatkan efisiensi energi dan bersifat adaptive. Proses streaming mining data menggunakan algoritma Light-Weight Clustering (LWC) dan Light-Weight Frequent Item (LWF), sedangkan proses pengiriman data dari sensor node ke base station menggunakan algoritma Distance Vector Routing Protocol. Semua algoritma tersebut digunakan untuk meningkatkan efisiensi energi pada jaringan WSNs. Sebelumnya penelitian dilakukan secara terpisah, sehingga pada penelitian ini akan menggabungkan antara clusterisasi data menggunakan algoritma RA-Cluster dan streaming mining data mengunakan algoritma RA-Frequent Items dengan Distance Vector Routing. Proses tersebut akan melibatkan monitoring terhadap Resource-Aware dari peralatan jaringan wireless sensor sehingga penulis menyebutnya sebagai RA-CluFIDV (Resource-Aware Clustering and Frequent Item with Distance Vector). Pada pengujian diperoleh hasil bahwa dengan melibatkan adaptasi Resource Aware maka lifetime wireless sensor networks dapat ditingkatkan sampai �17% untuk single node dan �16% untuk pengujian secara multi node.

Alt. Description

Data communications on wireless sensor network devices is now done for streaming at high speed data rate. This trend opens to conduct opoortunities for this particular area. One of developing area in Wireless Sensor Networks (WSNs) is to preserve WSNs device to make it run as long as possible. An approach for doing this is called Resource-Aware (RA) that manage Algorithm Granularity Setting (AGS) of WSNs. RA observes battery, memory and CPU of WSNs and perform adjustment on sampling interval, radius threshold, and randomization factor. The algorithm is very effective for improving energy efficiency and is adaptive. The mining data streaming process uses Light-Weight Clustering (LWC) and Light Weight Frequent Item (LWF), whilst the process of sending data from sensor nodes to base station uses Distance Vector Routing Protocol. The algorithms are used to increase energy efficiency in WSNs network in terms of resource efficiency and the effectiveness of data collection from WSNs. This study combines data clustering using RA-Cluster algorithms and RA-Frequent Items, both combined with Distance Vector Routing. This technique is called RA-CluFIDV (Resource-Aware Clustering and Frequent Item with Distance Vector). Results obtained that involves adaptation of Resource-Aware in terms of lifetime of wireless sensor networks shows improvement of up to � 17% for single node and � 16% for multinode.

Contributor	:	PROF. Ir. SUPENO DJANALI, M.Sc, Ph.D ARY MAZHARUDDIN SHIDDIQI, S.Kom, M.Comp.Sc
Date Create	:	25/07/2011
Type	:	Text
Format	:	pdf
Language	:	Indonesian
Identifier	:	ITS-Master-3100012045712
Collection ID	:	3100012045712
Call Number	:	RTIf 681 Sya r

Source :
Theses Informatics Engineering, RTIf 681 Sya r, 2011

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ITS Community

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Copyright @2011 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

Publication URL :
http://digilib.its.ac.id/resource-aware-data-stream-clustering-dan-frequent-item-dengan-distance-vector-routing-pada-wireless-sensor-networks-18224.html

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