IoT‐Based Management Platform for Real‐Time Spectrum and Energy Optimization of Broadcasting Networks

Alonso, Rodney Martínez; David, Paul A.; Pupo, Ernesto Fontes; Deruyck, Margot; Martens, Luc; Nieto, Glauco Guillén; Joseph, Wout

doi:10.1155/2018/7287641

Cited by 7 publications

(12 citation statements)

References 28 publications

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“…Batteries in IoT wireless sensors are intended to last up to ten years [28], mainly if the site of the sensor is unknown or if it is placed in a difficult-to-reach spot. Two primary technologies could be used to deploy the WUSN aided by UABS, which is Narrow Band IoT (NB-IoT) and Long Range Radio (LoRa) [29]- [31].…”

Section: B Low-power Wide-area Network Technologiesmentioning

confidence: 99%

“…LoRa is a physical layer technology patented by Semtech that uses a novel spread spectrum modulation based in the Chirp Spread Spectrum (CSS) [31]. LoRa, in association with the LoRaWAN (Long-Range Wide Area Network) which is the open MAC protocol defined by the LoRa Alliance, allows engineers to develop a case-specific protocol according to the specific needs of the network [36].…”

Section: B Low-power Wide-area Network Technologiesmentioning

confidence: 99%

“…The access NB-IoT network consists of 36 sub-channels, each with a bandwidth of 5 kHz, for a total of 180 kHz [31]. The system uses three bitrates of 900 bps, 1.8 kbps and 3.6 kbps for an SNR of 0.5 dB, 2.6 dB and 4.9 dB, respectively [35].…”

Section: A Network Descriptionmentioning

confidence: 99%

“…The novelty of the evaluation tool is the inclusion of a simultaneous radio allocation for access and backhaul links for UABSs, and the usage of hybrid path loss models for links between the UABS, the underground sensors and the facility antenna. The standard coded in the tool is following the most realistic scenario possible to integrate the aforementioned technologies in the frequency bands used [31], [78]- [80]. This tool has been experimentally validated in various research works, with results from mobile operators [76] to comparison between simulations [31] and measurement campaigns [80].…”

Section: System Evaluation Toolmentioning

confidence: 99%

“…The standard coded in the tool is following the most realistic scenario possible to integrate the aforementioned technologies in the frequency bands used [31], [78]- [80]. This tool has been experimentally validated in various research works, with results from mobile operators [76] to comparison between simulations [31] and measurement campaigns [80]. To the best of author's knowledge, there are no commercial network simulation tools that include UAV and WUSN.…”

Section: System Evaluation Toolmentioning

confidence: 99%

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System Assessment of WUSN Using NB-IoT UAV-Aided Networks in Potato Crops

et al. 2020

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Unmanned Aerial Vehicles (UAV) are part of precision agriculture; also, their impact on fast deployable wireless communication is offering new solutions and systems never envisioned before such as collecting information from underground sensors by using low power Internet of Things (IoT) technologies. In this paper, we propose a (Narrow Band IoT) NB-IoT system for collecting underground soil parameters in potato crops using a UAV-aided network. To this end, a simulation tool implementing a gateway mounted on a UAV using NB-IoT based access network and LTE based backhaul network is developed. This tool evaluates the performance of a realistic scenario in a potato field near Bogota, Colombia, accounting for real size packets in a complete IoT application. While computing the wireless link quality, it allocates access and backhaul resources simultaneously based on the technologies used. We compare the performance of wireless underground sensors buried in dry and wet soils at four different depths. Results show that a single drone with 50 seconds of flight time could satisfy more than 2000 sensors deployed in a 20 hectares field, depending on the buried depth and soil characteristics. We found that an optimal flight altitude is located between 60 m and 80 m for buried sensors. Moreover, we establish that the water content reduces the maximum reachable buried depth from 70 cm in dry soils, down to 30 cm in wet ones. Besides, we found that in the proposed scenario, sensors' battery life could last up to 82 months for above ground sensors and 77 months for the deepest buried ones. Finally, we discuss the influence of the sensor's density and buried depth, the flight service time and altitude in power-constrained conditions and we propose optimal configuration to improve system performance. INDEX TERMS Precision agriculture, NB-IoT, unmanned aerial vehicles, wireless underground sensor networks.

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Section: B Low-power Wide-area Network Technologiesmentioning

confidence: 99%

Section: B Low-power Wide-area Network Technologiesmentioning

confidence: 99%

Section: A Network Descriptionmentioning

confidence: 99%

Section: System Evaluation Toolmentioning

confidence: 99%

Section: System Evaluation Toolmentioning

confidence: 99%

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System Assessment of WUSN Using NB-IoT UAV-Aided Networks in Potato Crops

et al. 2020

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Mathematical Tools for the Internet of Things Analysis

Mamonova

Maidaniuk

2020

Cybern Syst Anal

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Assessment of White Spaces Quality in Rural Areas: a large-scale spectrum survey

Alonso

Guerra²,

Pupo³

et al. 2020

2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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Spectrum is a valuable resource for broadcasting and wireless communications. Despite the fact that most of the sub-1-GHz spectrum is granted, spectrum surveys in suburban areas reveal a poor usage efficiency (less than 20% on average). Cognitive Radio for 5G next generation radio is a potential technology for dynamically exploit the spectrum white spaces, particularly in low populated rural areas. However, not all the empty spectrum is useful for providing broadband wireless connectivity guaranteeing a certain Quality of Service (QoS) or without causing harmful interference to the primary licensed services. In this paper we perform a large scale-spectrum survey and measurement campaign in two rural areas. We also quantify the white spaces and its real potential for secondary services. Our research reveals that, on average, less than 11% of the spectrum is in use in the surveyed rural areas. However, in one area only 60% of the white spaces can be used for a commercial service.

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IoT‐Based Management Platform for Real‐Time Spectrum and Energy Optimization of Broadcasting Networks

Cited by 7 publications

References 28 publications

System Assessment of WUSN Using NB-IoT UAV-Aided Networks in Potato Crops

System Assessment of WUSN Using NB-IoT UAV-Aided Networks in Potato Crops

Mathematical Tools for the Internet of Things Analysis

Assessment of White Spaces Quality in Rural Areas: a large-scale spectrum survey

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