Affandi, Charisma Dimas
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Multi-hop Communication between LoRa End Devices Triwidyastuti, Yosefine; Musayyanah, Musayyanah; Ernawati, Fifin; Affandi, Charisma Dimas
Scientific Journal of Informatics Vol 7, No 1 (2020): May 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i1.21855

Abstract

Gateway elimination in a LoRa network could highly reduce the network installation cost. However, LoRa end devices could not overcome many obstacles with only a point-to-point communication. Thus, this research implemented a multi-hop communication in a LoRa network. One or more LoRa end devices are placed between the source node and the destination node to act as relay nodes. A simple routing based on the packet length is configured to determine the packet transmission path. As the results, the designed multi-hop communication could improve packet success rate until 2,47 times in indoor environment. Whereas, the optimum delay time for multi-hop communication is 100 ms for each hop to produce high PRR and lowest RTT.
Multi-hop Communication between LoRa End Devices Triwidyastuti, Yosefine; Musayyanah, Musayyanah; Ernawati, Fifin; Affandi, Charisma Dimas
Scientific Journal of Informatics Vol 7, No 1 (2020): May 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v7i1.21855

Abstract

Gateway elimination in a LoRa network could highly reduce the network installation cost. However, LoRa end devices could not overcome many obstacles with only a point-to-point communication. Thus, this research implemented a multi-hop communication in a LoRa network. One or more LoRa end devices are placed between the source node and the destination node to act as relay nodes. A simple routing based on the packet length is configured to determine the packet transmission path. As the results, the designed multi-hop communication could improve packet success rate until 2,47 times in indoor environment. Whereas, the optimum delay time for multi-hop communication is 100 ms for each hop to produce high PRR and lowest RTT.
Penerapan Filter Kalman untuk Estimasi Jarak dan Posisi pada Lokalisasi Outdoor berbasis RSSI dengan Komunikasi LoRa MUSAYYANAH, MUSAYYANAH; AFFANDI, CHARISMA DIMAS; LEBDANINGRUM, KRISTIN
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 4: Published October 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i4.849

Abstract

ABSTRAKWireless Sensor Networ (WSN) merupakan jaringan nirkabel terdiri dari kumpulan node sensor tersebar di lingkungan observasi, saling berkomunikasi sesuai dengan algoritma komunikasi. Salah satu penerapan WSN adalah lokalisasi berbasis RSSI. RSSI merupakan hasil lokalisasi yang bersifat fluktuatif disebabkan oleh fenomena multipath fading, sehingga berpengaruh terhadap hasil lokalisasi. Artikel ini menerapkan Filter Kalman (FK) untuk lokalisasi Outdoor berbasis RSSI dengan komunikasi LoRa untuk lima Node Diam (ND) dan empat Node Anchor (NA). Pengujiannya terdiri dari membandingkan FK dengan tanpa FK, dan FK dengan metode Normalisasi. FK dapat memperbaiki akurasi pada estimasi jarak dan posisi. FK memperbaiki akurasi estimasi jarak sebesar 0,57% untuk ND1; 0,19% untuk ND2; 4,59% untuk ND3; 0,73% untuk ND4 dan 20,11% untuk ND5. Pada estimasi posisi, FK dapat meningkatkan akurasi sebesar 2,45% untuk ND1; 11,19% untuk ND2; 6,03% untuk ND3; 7,64% untuk ND4; dan 5,42% untuk ND5. Selain itu, FK dapat memperbaiki akurasi 15,94% untuk ND1; 3,41% untuk ND 2 dan 15,76% untuk ND 4 terhadap metode Normalisasi.Kata kunci: Filter Kalman, Localization,LoRa, RSSI, Wireless Sensor Network ABSTRACTWireless Sensor Network (WSN) is a wireless network consisting of sensor nodes spread across an observation environment, communicating with others separately according to a communication algorithm. In addition, one of the WSN applications is RSSI-based localization. RSSI is the development of localization which fluctuates due to the multipath fading phenomenon, thus affecting the localization results. This article executes a Kalman Filter (KF) for RSSI-based Outdoor localization with LoRa communication for five Diam Nodes (ND) and four Anchor Nodes (NA). The experiment involves comparing KF with neither KF nor the Normalization method. KF can improve the accuracy of distance and location estimation. FK increases the distance estimation accuracy by 0,57% for ND1; 0,19% for ND2; 4,59% for ND3; 0,73% for ND4; and 20,11% for ND5. For ND1, ND2, ND3, ND4, and ND5, KF can improve position estimation accuracy by 2,45%, 11,19%, 6,03%, 7,64%, 5,42%, and 2,45%, respectively. In addition, KF can increase accuracy by 15,94% for ND1, 3,41% for ND2, and 15,76% for ND4 in comparison to the Normalization approach.Keywords: Kalman Filter, Localization, LoRa, RSSI, Wireless Sensor Network