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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

Wireless Sensor Network over High Altitude Platform Veronica Windha Mahyastuty; Iskandar Iskandar; Hendrawan Hendrawan; M. Sigit Arifianto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 1: February 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i1.8391

Abstract

One of Machine Type Communication (MTC) applications is Wireless Sensor Network (WSN). WSN is an intelligent network application system to collect, integrate, and transmit data autonomously. Sensor nodes in WSN, communicate over short distance via a wireless medium and collaborate to accomplish a common task, such as enviroment monitoring, military surveillance and industrial process control. The constraining aspect of WSN usage is the limited power of each sensor node, so energy efficiency becomes an important issue in WSN. Routing is a function in WSN, which consumes a substantial amount of energy. One of the routing protocols that can increase the energy efficiency of WSN is Low Energy Adaptive Clustering Hierarchy (LEACH). In this paper, High Altitude Platform (HAP) is used to replace Base Station (BS) as sink node in WSN. HAP is designed at altitudes of 17, 20 and 22 km. Then WSN over HAP using the LEACH routing protocol evaluated its performance. Performance indicators that we evaluated are engergy consumption, number of dead nodes and total average packets which is sent to HAP. From a series of simulations conducted, the results obtained that the higher the laying of HAP, then the coverage area will be greater. So that the energy consumption will be smaller, the number of dead node less and the avarage of total packet delivered to the HAP will be greater.
Sparsity Properties of Compressive Video Sampling Generated by Coefficient Thresholding Ida Wahidah Hamzah; Tati Latifah R. Mengko; Andriyan B. Suksmono; Hendrawan Hendrawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 12, No 4: December 2014
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v12i4.296

Abstract

We study the compressive sampling (CS) and its application in video encoding framework. The video input is firstly transformed into suitable domain in order to achieve sparser configuration of coefficients. Then, we apply coefficient thresholding to classify which frames to be sampled compressively or conventionally. For frames chosen to undergo compressive sampling, the coefficient vectors will be projected into smaller vectors using random measurement matrix. As CS requires two main conditions, i.e. sparsity and matrix incoherence, this research is emphasized on the enhancement of sparsity property of the input signal. It was empirically proven that the sparsity enhancement could be reached by applying motion compensation and thresholding to the non-significant coefficient count. At the decoder side, the reconstruction algorithm can employ basis pursuit or L1 minimization algorithm.
Co-Authors Achmad Achmad Adillah, Rifda Adit Kurniawan Afiat, M Agung Harsoyo, Agung Agus Setiabudi Ahmad Sofan Ansor, Ahmad Sofan Ahyani, Ahyani Amir Husaini Karim Amrullah Andriyan B. Suksmono Anggita, Nanda Anggraini, Dila Riski Annifah, Riri Uswatun Ardelia, Aya Sofia ARDIANSYAH ARDIANSYAH Arief Syaichu-Rohman Arief Syaichu-Rohman Asep Kadarohman Asep Najmurrokhman Ashfiya, Putri Sayyida Ayu Rosyida Zain Aziz, Hafiz Aji Azwan, Ahmad Bambang Riyanto T. Bambang Riyanto T. Barkah, M. Riana Barnawi, Barnawi Basuki Y. Iskandar Basyaruddin, Muh Budi Rahardjo Budiman Anwar Bustanul Arifin Carenina, Babel Tio Carmadi Machbub Christoporus, Christoporus Cipta Endyana Dasril Dasril Debi Yustisia, Wa Ode Dewanto, I Joko Eli Hendrik Sanjaya Errissya Rasywir Estralita Trisnawati Febri Hirnawan Firna, Firna Fitri Khoerunnisa Fitri, Andi Fitri Florentina Maria Titin Supriyanti Gantini, Tuti Harahap, Ahmad Saleh Hariyanto, Andi Heri Sulistiyono, Heri Husain , Husain Iasha, Yurin Karunia Apsha Albaina Iasya, Yurin Karunia Apsha Albaina Ida Hamidah Ida Wahidah Hamzah Ijang Rohman Iqbal Musthapa Iskandar Iskandar Ismail Ismail Isnaeni Isnaeni Istikmal Istikomah Istikomah itriyani, Nur Juhaedi, Edi Kamaruddin, Harni Sartika Khumaedilah, Thakfif KUSPRIYANTO Lathifah, Siti Maulani Latukau, Fikry Lisdayanti, Nur M. Sigit Arifianto Maemonah, Maemonah Maharani, Brigitta Stacia Mahmudah, Eneng Mariamah Mariamah Muhallim, Muhlis Muhammad Dani MUHAMMAD HARIS Muhammad Sajidin Muhiran, Muhiran Muntako, Muntako Nadila, Gesti Nasiruddin, Nurfadilah Noviana, Tia Nurasih, Siti Nurhayati, Mita Nurhidayatulloh, Nurhidayatulloh Nursaid Rizalullael, Muh. Pareza Alam Jusia, Pareza Alam PRACOYO, ATAS Pradjoko , Eko Pranoto Rusmin, Pranoto Prastio, M. Adam Ragil Qiansantang, Lalu Rahmatullah Rahmatullah Rahmiati Rahmiati Rofi’i, Imam Rosdiana Rosdiana Rosi Oktiani Rusmin, Pranoto Hidaya Saepurrohman9, Riki Salasa, Danie Salehudin, Salehudin Samun Haris Satiadharmanto, Deddi Fasmadhy Selasdini, Vidya Shatrya, Maulana Siregar, Lidya Marsaulina Siti Aisyah Sofia Naning Hertiana Soja Siti Fatimah Sri Lestari Sri Mulyani Suciyati Suciyati Suhardin Suhardin, Suhardin Suhono H. Supangkat Sulisetijono Sulisetijono Suratno, Eddy Syihabuddin Taufiq, Muhammad Syuhada, Rahmad Tati Latifah R. Mengko Tri Cahyadi Triwulan, Novy Ubaydillah, Ragil Udjianna Sekteria Pasaribu Undang Mardiana Veronica Windha Mahyastuty Wahyu Agung Sakti, Lalu Wahyudi Wahyudi Wahyudi, Muh.Diki Warnoto Warnoto Widiyanti, Silvia Widodo, Yuda Yaya Sonjaya Yovi Pratama Yudha Purwanto Yudiana, Pina Yuliana Yuliana Yuliani, Galuh Yunita Rakhmawati Zain, Ayu Rosyida Zaskya Wati, Wa Ode