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Simulasi Coverage Pada Wireless Sensor Network Dengan Menggunakan Algoritma Genetika Pareto Umi Fitria P, ; Tri Budi Santoso, ; Prima Kristalina,
Teknika Vol 10, No 2 (2009)
Publisher : Teknika

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Abstract

Wireless Sensor Network (WSN) adalah suatu jaringan wireless yang tediri dari beberapa sensor node yang saling berkomunikasi dan bekerja sama untuk mengumpulkan data- data dari lingkungan sekitar. Salah satu masalah yang dihadapi dalam merancang suatu sistem WSN ini adalah masalah coverage area. Pada paper ini akan disajikan suatu simulasi coverage area suatu WSN dengan menggunakan metode algoritma genetika yang dikombinasikan dengan pareto. Dengan menggunakan metode ini, akan diobservasi bagaimana kinerja coverage area suatu WSN pada suatu service area, dengan jumlah sensor yang terbatas harus dapat mengcover area secara optimum dan tentunya dengan biaya yang minimal. Hasil dari paper ini adalah bahwa  suatu algoritma genetika sudah mampu menunjukkan kinerja pencapaian coverage terbaik dari keempat individu sebesar 92.69 % dengan biaya sebesar $ 3150. Wireless Sensor Network (WSN) was a wireless network consisting of several sensor nodes that communicate with each other and work together to collect data from neighborhood. One of the problems encountered in designing a WSN system is the problem of coverage area. In this paper will be presented a simulation of the coverage area of a WSN by using the method genetic algorithms combined with the pareto. Using this method, will be observed how the performance of coverage area an WSN in a service area, with a limited number of sensors must be able cover the area optimally and certainly with a a minimal cost.The result of this paper was a genetic algorithm has been able to demonstrate achievement of the performance of the best coverage from the four individuals of 92.69% at a cost of $ 3150.
An Adaptive Connectivity-based Centroid Algorithm for Node Positioning in Wireless Sensor Networks Pratiarso, Aries; Kristalina, Prima
EMITTER International Journal of Engineering Technology Vol 3, No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

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Abstract

In wireless sensor network applications, the position of nodes is randomly distributed following the contour of the observation area. A simple solution without any measurement tools is provided by range-free method. However, this method yields the coarse estimating position of the nodes. In this paper, we propose Adaptive Connectivity-based (ACC) algorithm. This algorithm is a combination of Centroid as range-free based algorithm, and hop-based connectivity algorithm. Nodes have a possibility to estimate their own position based on the connectivity level between them and their reference nodes. Each node divides its communication range into several regions where each of them has a certain weight depends on the received signal strength. The weighted value is used to obtain the estimated position of nodes. Simulation result shows that the proposed algorithm has up to 3 meter error of estimated position on 100x100 square meter observation area, and up to 3 hop counts for 80 meters communication range. The proposed algorithm performs an average error positioning up to 10 meters better than Weighted Centroid algorithm.Keywords: adaptive, connectivity, centroid, range-free.
An Adaptive Connectivity-based Centroid Algorithm for Node Positioning in Wireless Sensor Networks Pratiarso, Aries; Kristalina, Prima
EMITTER International Journal of Engineering Technology Vol 3, No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.39

Abstract

In wireless sensor network applications, the position of nodes is randomly distributed following the contour of the observation area. A simple solution without any measurement tools is provided by range-free method. However, this method yields the coarse estimating position of the nodes. In this paper, we propose Adaptive Connectivity-based (ACC) algorithm. This algorithm is a combination of Centroid as range-free based algorithm, and hop-based connectivity algorithm. Nodes have a possibility to estimate their own position based on the connectivity level between them and their reference nodes. Each node divides its communication range into several regions where each of them has a certain weight depends on the received signal strength. The weighted value is used to obtain the estimated position of nodes. Simulation result shows that the proposed algorithm has up to 3 meter error of estimated position on 100x100 square meter observation area, and up to 3 hop counts for 80 meters communication range. The proposed algorithm performs an average error positioning up to 10 meters better than Weighted Centroid algorithm.Keywords: adaptive, connectivity, centroid, range-free.
Performance Evaluation of Distribution Node in Case of LEACH Implementation on Wireless Sensor Network Prakoso, Bagas Mardiasyah; Zainudin, Ahmad; Kristalina, Prima; Azhar, Rizqi Fauzil
Jurnal Elektronika dan Telekomunikasi Vol 18, No 2 (2018)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v18.67-74

Abstract

Wireless sensor networks consisting of sensor nodes can be used as an effective tool for collecting data in various situations. Nodes are usually placed randomly in an area to perform sensing and monitor various parameters related to environmental conditions in various locations. One of the major problems in wireless sensor networks is developing energy-efficient routing protocols that have a significant impact on the overall life of sensor networks so it is important to make energy savings in these limited energy sources to extend network life. This paper proposes a hardware design and Low-Energy Adaptive Clustering Hierarchy (LEACH) routing protocol configuration for power saving by utilizing cluster head selection mechanism. The cluster head selection process is performed periodically based on LEACH algorithm enables the node to have the best lifetime responsible for communication between the nodes and the server as well as the effort to save energy consumption of limited energy sources to extend network life. So that makes the process of sending information more effective and optimal. The system has been able to display data information along with the position of nodes in the web server with an average of 42 seconds of computing time in a rotation of the system so that it can be done 85 times in 1 hour. The system is able to provide real-time information with a throughput of more than 1.052 Kbps and packet loss of no more than 6.7%. In addition, energy savings can up to 6.5% of the existing energy in a lithium battery.
An Implementation of Grouping Nodes in Wireless Sensor Network Based on Distance by Using k-Means Clustering Azhar, Rizqi Fauzil; Zainudin, Ahmad; Kristalina, Prima; Prakoso, Bagas Mardiasyah; Tamami, Niam
CommIT (Communication and Information Technology) Journal Vol 12, No 2 (2018): CommIT Vol. 12 No. 2 Tahun 2018
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v12i2.4714

Abstract

Wireless Sensor Network (WSN) is a network consisting of several sensor nodes that communicate with each other and work together to collect data from the surrounding environment. One of the WSN problems is the limited available power. Therefore, nodes on WSN need to communicate by using a cluster-based routing protocol. To solve this, the researchers propose a node grouping based on distance by using k-means clustering with a hardware implementation. Cluster formation and member node selection are performed based on the nearest device of the sensor node to the cluster head. The k-means algorithm utilizes Euclidean distance as the main grouping nodes parameter obtained from the conversion of the Received Signal Strength Indication (RSSI) into the distance estimation between nodes. RSSI as the parameter of nearest neighbor nodes uses lognormal shadowing channel modeling method that can be used to get the path loss exponent in an observation area. The estimated distance in the observation area has 27.9% error. The average time required for grouping is 58.54 s. Meanwhile, the average time used to retrieve coordinate data on each cluster to the database is 45.54 s. In the system, the most time-consuming process is the PAN ID change process with an average time of 14.20 s for each change of PAN ID. The grouping nodes in WSN using k-means clustering algorithm can improve the power efficiency by 6.5%.
MIMO-OFDM System For Single RF Antenna Schemes with Convolutional Coding I Gede Puja Astawa, Amang Sudarsono, Tri Budi Santoso, Prima Kristalina, Nihayatus Saadah
International Conference on Industrial Revolution for Polytechnic Education Vol. 2 No. 2 (2020): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

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Abstract

Multiple Input Multiple Output (MIMO) system use multiple transmit and receive antennas to increase data rate without expanding bandwidth. The combination of MIMO system with Orthogonal Frequency Division Multiplexing (OFDM) can provide greater throughput and provide the quality of high-speed information in real time. Multi antenna in MIMO system cause large power consumption. The latest technology in antenna system to overcome high power consumption is antenna based on single Radio Frequency (RF). The antenna system with single RF energy that can minimize lower cost. In this research, the MIMO-OFDM system uses channel coding that can avoid noise is convolutional coding. We evaluate the performance of MIMO-OFDM system for single RF antennas by creating a simulation program computers. The simulation demonstrate that MIMO-OFDM system using single RF antenna and using convolutional coding with rate ¼ is better 7 dB than without convolutional coding. The result of this paper is performance of the system is expressed in the form of the curve of BER as a function of SNR.
Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System Rafina Destiarti Ainul; Prima Kristalina; Amang Sudarsono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.10162

Abstract

The precise indoor tracking system using Xbee signal strength protocol has become a potential research to the WSN applications. The main aspects for the success tracking system is accuracy performance based on location estimation. The improvement of location estimation is complicated issue, especially using RSSI with low accuracy due to the signal attenuation from multipath effect at indoor propagation. Hence, many existing research typically focused on specific methods for providing improvement schemes at tracking system area. Then, we propose hybrid filter schemes, including extended gradient filter (EGF) for filtering noise signal based distance modification, and modified extended Kalman filter (MIEKF) will be combined with trilateration for filtering the error position estimation. Using mobile cooperative tracking scenario refers to our previous work, the proposed hybrid filter scheme which is called modified iterated extended gradient Kalman filter (MIEGKF) can optimize the error estimation around 41.28% reduction with 0.63 meters MSE (mean square error) value.
Analisa Tingkat Inteligibilitas Suara pada Layanan Interactive Voice Response dengan Perekaman Berbasis Metode Companding PCM dan ADPCM Prima Kristalina
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2007
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Hal yang penting dalam penyiapan layanan Interactive Voice Response adalah pembuatan file databasesuara yang selalu dibunyikan saat sistim ini diakses. Dua teknik companding yang digunakan pada penelitian iniadalah Linear PCM dan ADPCM. Kedua teknik ini diaplikasikan pada proses perekaman suara dengan duajenis alat perekam yang berbeda, yaitu carbon microphone dan ribbon microphone. Kualitas hasil perekamandiukur dengan dua cara, yaitu Mean Opinion Score (MOS) untuk mengukur tingkat kejernihan suara dan ukuranfile hasil companding. Dari hasil survey terhadap 20 responden didapatkan bahwa tingkat kejernihan hasilperekaman tertinggi adalah menggunakan metode companding A-law dan mu-law dengan frekuensi sampling 11kHz, dengan nilai MOS 4 dan 3.89 (untuk perekaman dengan ribbon microphone) serta 3.33 dan 3.66 (untukperekaman dengan carbon microphone). Persentasi kompresi tertinggi adalah dengan metode ADPCM 6 kHz19,34 %) sedangkan penyusutan terendah dibuat dengan metode A-law dan mu-law 11 kHz (rata-rata 68,16%).Metode A-law dan mu-law mempunyai hasil yang sama karena masih dalam satu kelas Linear PCM, hanyadibedakan pada proses kuantisasinya saja. Hasil perekaman suara semakin jernih jika menggunakan frekuensisampling tinggi, namun ukuran file hasil companding yang dihasilkan juga semakin besar.Kata kunci: companding, ADPCM, Linear PCM
Aplikasi Indoor Secured-Localization System Menggunakan Jaringan Sensor Nirkabel untuk Koordinasi Pasukan PMK pada Kondisi Darurat Kebakaran di dalam Gedung Adam Surya Putra; Prima Kristalina; Amang Sudarsono
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2016
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Abstrak—Informasi lokasi suatu object penginderaan adalah salah satu hal yang penting dan menjadi tantangan dalam implementasi jaringan sensor nirkabel. Saat ini jaringan sensor nirkabel dapat digunakan dalam aplikasi pemantuan suatu object, pelacakan sasaran, koordinasi, dan masih banyak lagi. Karena jaringan sensor dapat berinteraksi dengan data sensitif dan / atau beroperasi di lingkungan tanpa pengawasan, maka sangat penting bahwa masalah sistem keamanan diperhatikan dari awal men-design system. Dalam makalah ini, kami mengusulkan suatu sistem lokalisasi node secara terdistribusi di lingkungan indoor dengan skema penentuan lokasi node dilakukan di setiap node dengan bantuan dari node refrensi. Setiap pengiriman paket data dalam jaringan sensor dilengkapi dengan sistem keamanan. Teknik lokalisasi node menggunakan metode trilaterasi dengan memanfaatkan 3 node refrensi. Sistem keamanan data terdiri dari AES (Advanced Encryption Standard) sebagai confidentiality dan Fungsi Hash MD5 sebagai authentication. Kami mengevaluasi kinerja secara komprehensif meliputi estimasi jarak antar node, kalkulasi posisi node, waktu dan keamanan pengiriman paket data. Hasil evaluasi sistem yang diusulkan menggunakan platform jaringan sensor perangkat waspmote. Hasil penelitian pada lingkungan indoor menunjukkan bahwa sistem yang diusulkan menghasilkan kinerja yang baik, meliputi penentuan posisi node, waktu komunikasi dan keamanan pengiriman paket data. Secara keseluruhan sistem yang di usulkan memiliki keandalan yang cukup baik dalam aplikasi real time tracking node.
Local positioning system for autonomous vertical take-off and landing using ultra-wide band measurement ranging system Niam Tamami; Bambang Sumantri; Prima Kristalina
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 12, No 1 (2021)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2021.v12.18-27

Abstract

An autonomous vertical take-off and landing (VTOL) must be supported with an accurate positioning system, especially for autonomous take-off, landing, and other tasks in small area. This paper presents a novel method of small local outdoor positioning system for localizing the area of dropping and landing of autonomous VTOL by utilizing the low-cost precision ultra-wide band (UWB) ranging system. We compared symmetrical single sided-two way ranging (SSS-TWR), symmetrical double sided-two way ranging (SDS-TWR), and asymmetrical double sided-two way ranging (ADS-TWR) methods to get precision ranging measurement on UWB radio module. ADS-TWR was superior to others by resulting in minimum distance error. The ADS-TWR average error was 1.38 % (35.88 cm), SDS-TWR average error was 1.83 % (47.58 cm), and SSS-TWR average error was 2.73 % (70.98 cm). Furthermore, the trilateration method was utilized to obtain the local position of the autonomous VTOL. The trilateration method successfully implemented autonomous VTOL quadcopter positioning in a small local outdoor area (20 m x 30 m). Autonomous VTOL has been able to drop seven payloads in seven areas (2 m x 2 m) and landed in the home position (3 m x 3 m) successfully.