2019
DOI: 10.1007/978-3-030-20055-8_9
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Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks

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Cited by 7 publications
(2 citation statements)
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“…We selected LoRa as an appropiate LPWAN technology due to its low-power and long-range properties [ 52 , 53 , 54 , 55 ], which are suitable for many applications [ 56 ]. Thus, we propose a LoRa H-WSN that makes use of the LoRaWAN protocol using class A devices, which is the lowest power consumption way of generating traffic [ 57 , 58 ], suitable for soft real-time applications [ 59 ]. Moreover, LoRa technology enables geolocation techniques without GPS by fingerprinting [ 60 ], Kalman filtering [ 61 ], or multilateration algorithms using concentrator-nodes timestamps from the received packets [ 62 ].…”
Section: Implementation Of X-ioca For Sar Missions: Sar-iocamentioning
confidence: 99%
“…We selected LoRa as an appropiate LPWAN technology due to its low-power and long-range properties [ 52 , 53 , 54 , 55 ], which are suitable for many applications [ 56 ]. Thus, we propose a LoRa H-WSN that makes use of the LoRaWAN protocol using class A devices, which is the lowest power consumption way of generating traffic [ 57 , 58 ], suitable for soft real-time applications [ 59 ]. Moreover, LoRa technology enables geolocation techniques without GPS by fingerprinting [ 60 ], Kalman filtering [ 61 ], or multilateration algorithms using concentrator-nodes timestamps from the received packets [ 62 ].…”
Section: Implementation Of X-ioca For Sar Missions: Sar-iocamentioning
confidence: 99%
“…Except application areas we must mention, that application of IoT is closely connected with other negative factors, for example IoT security challenges (Jain and Singh, 2019;Nouichi et al, 2019;Moin et al, 2019), data security (Sittón-Candanedo, 2019), real-time data analytics (Fernández et al, 2019), energy consumption of IoT devices (Gunturi and Reddy, 2018;Liu et al, 2019), service innovation (Lee, Kao and Yang, 2014).…”
Section: Introductionmentioning
confidence: 99%