Received Signal Strength Distribution Approximation for IEEE 802.15.4 Zigbee Smart Grid Networks

2018 ◽  
Author(s):  
Natthanan Tangsunantham ◽  
Chaiyod Pirak
Keyword(s):  
Smart Grid ◽  
Ieee 802.15.4 ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Strength Distribution ◽  
Grid Networks

Location optimization for data concentrator unit in IEEE 802.15.4 smart grid networks

2017 ◽  
Author(s):  
Songserm Tanakornpintong ◽  
Natthanan Tangsunantham ◽  
Tanayoot Sangsuwan ◽  
Chaiyod Pirak
Keyword(s):  
Smart Grid ◽  
Ieee 802.15.4 ◽  
Location Optimization ◽  
Grid Networks

scholarly journals Estimation of Received Signal Strength Distribution for Smart Meters with Biased Measurement Data Set

2016 ◽  
pp. 1-1 ◽  
Author(s):  
Mathias R. Kielgast ◽  
Anders C. Rasmussen ◽  
Mathias H. Laursen ◽  
Jimmy J. Nielsen ◽  
Petar Popovski ◽  
...  
Keyword(s):  
Measurement Data ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Strength Distribution ◽  
Smart Meters ◽  
Data Set

scholarly journals Genetic Algorithm Optimized Node Deployment in IEEE 802.15.4 Potato and Wheat Crop Monitoring Infrastructure

2020 ◽  
Author(s):  
Pankaj Pal ◽  
Rashmi Sharma ◽  
Sachin Tripathi ◽  
Chiranjeev Kumar ◽  
Dharavath Ramesh
Keyword(s):  
Ieee 802.15.4 ◽  
Path Loss ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Wheat Crop ◽  
Growth Stages ◽  
Node Deployment ◽  
Initial Node ◽  
Crop Monitoring ◽  
Vegetation Height

Abstract This proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agriculture monitoring infrastructure, measurement campaigns were carried out in different growing stages of potato and wheat crops. Experimental observations indicate that initial node deployment in the wheat crop experiences network dis-connectivity due to increased signal attenuation, which is due to the growth of wheat vegetation height and density in the grain-filling and physical-maturity periods. An empirical measurement-based path loss model is formulated to identify the received signal strength in different crop growth stages. Further, a NSGA-II multi-objective evolutionary computation is performed to generate initial node deployment and is optimized over increased coverage, reduced over-coverage, and received signal strength. The results show the development of a reliable wireless sensor network infrastructure for wheat crop monitoring.

Spoofing detection in IEEE 802.15.4 networks based on received signal strength

2013 ◽  
Vol 11 (8) ◽  
pp. 2648-2660 ◽  
Author(s):  
Paria Jokar ◽  
Nasim Arianpoo ◽  
Victor C.M. Leung
Keyword(s):  
Ieee 802.15.4 ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Spoofing Detection

scholarly journals Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pankaj Pal ◽  
Rashmi Priya Sharma ◽  
Sachin Tripathi ◽  
Chiranjeev Kumar ◽  
Dharavath Ramesh
Keyword(s):  
Ieee 802.15.4 ◽  
Path Loss ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Wheat Crop ◽  
Growth Stages ◽  
Node Deployment ◽  
Initial Node ◽  
Crop Monitoring ◽  
Vegetation Height

AbstractThis proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agriculture monitoring infrastructure, measurement campaigns were carried out in different growing stages of potato and wheat crops. Experimental observations indicate that initial node deployment in the wheat crop experiences network dis-connectivity due to increased signal attenuation, which is due to the growth of wheat vegetation height and density in the grain-filling and physical-maturity periods. An empirical measurement-based path loss model is formulated to identify the received signal strength in different crop growth stages. Further, a NSGA-II multi-objective evolutionary computation is performed to generate initial node deployment and is optimized over increased coverage, reduced over-coverage, and received signal strength. The results show the development of a reliable wireless sensor network infrastructure for wheat crop monitoring.

scholarly journals Studi Jarak Jangkauan X-Bee Pro S3b 900 untuk Aplikasi Node Wireless Sensor Network pada Daerah Gunung Api Berbasis Received Signal Strength Indicator (RSSI)

2019 ◽  
Vol 5 (2) ◽  
pp. 93-102
Author(s):  
Rakhmad Gusta Putra ◽  
Dirvi Eko Juliando Sudirman ◽  
Hanifah Nur Kumala Ningrum ◽  
Nur Asyik Hidayatullah
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Ieee 802.15.4 ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Wireless Sensor ◽  
Received Signal Strength Indicator ◽  
Monitoring Area

Indonesia saat ini memiliki 129 gunung berapi yang aktif dan hanya 69 diantaranya yang baru bisa termonitoring dengan baik. Bencana gunung api dapat dihindari dengan melakukan monitoring yang baik terhadap kondisi gunung api secara menyeluruh sebagai mekanisme peringatan dini bencana. Monitoring area gunung api yang cukup luas menjadi kendala tersendiri dikarenakan titik pemantauan yang banyak. Wireless Sensor Network (WSN) merupakan salah satu sistem yang sesuai untuk melakukan pemantauan dengan jumlah titik sensor yang terdistribusi, fleksibel dan terintegrasi. Secara garis besar, sistem WSN terdiri dari receiver dan node sebagai transmiter. Komunikasi dari node menuju receiver dapat dilakukan langsung ataupun melalui node yang lainnya. Standar komunikasi nirkabel dari WSN untuk desain dan aplikasi mengacu pada IEEE 802.15.4. Perangkat yang mendukung standar ini salah satunya adalah X-Bee. X-Bee memiliki keunggulan dalam hal kemudahan penggunaan, relatif murah dan berdaya rendah. Salah satu hal yang menjadi poin penting dalam aplikasi WSN pada gunung api adalah jarak jangkauan. Dalam penelitian ini akan dilakukan studi jarak jangkauan Xbee Pro S3 900 pada area gunung api Kelud menggunakan RSSI. Dalam penelitian ini digunakan tiga buah node dan satu receiver sebagai perangkat pengambilan data. Tiga node transmitter tersebut di tempatkan pada tempat yang sesuai untuk mengamati kondisi gunung api Kelud. Jarak jangkauan XBee Pro S3B 900 LoS dengan konfigurasi yang dilakukan, didapatkan jarak jangkauan 79,2 m, sedangkan pada eksperimen mencapai 3,78 km pada nilai RSSI -60dBm. Jarak jangkauan rata-rata tiga node kondisi non LoS berdasarkan nilai RSSI -80 dBm adalah 50 m sedangkan dalam eksperimen didapatkan 441 m. Nilai RSSI hasil eksperimen didapatkan hasil lebih baik daripada hasil simulasi.

Deployment of Electricity-theft Detection Infrastructure in Chadian Smart Grid Networks

2020 ◽  
Author(s):  
Cherifa Boucetta ◽  
Olivier Flauzac ◽  
Bachar Salim Haggar ◽  
Abdel-Nassir Mahamat Nassour ◽  
Florent Nolot
Keyword(s):  
Smart Grid ◽  
Grid Networks ◽  
Electricity Theft
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