Internet of THings Area Coverage Analyzer (ITHACA) for Complex Topographical Scenarios

Parada, Raùl; Cárdenes-Tacoronte, Daniel; Monzo, Carlos; Melià-Seguí, Joan

doi:10.3390/sym9100237

Cited by 13 publications

(10 citation statements)

References 15 publications

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“…Thereafter, this coverage study is validated by comparing its predictions with the outcomes attained in an experimental sampling campaign. Previous works have demonstrated the need of contrasting the predictions of IoT network planning tools with the results extracted from real experiments [ 9 ]. Therefore, in the following sections, a comprehensive exploration of LoRaWAN is conducted by examining its performance under different configurations in different mobile scenarios, namely, urban, suburban, and rural.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of LoRa Considering Scenario Conditions

Sánchez-Iborra

Sánchez-Gómez

Ballesta-Viñas

et al. 2018

Sensors

230

130

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New verticals within the Internet of Things (IoT) paradigm such as smart cities, smart farming, or goods monitoring, among many others, are demanding strong requirements to the Radio Access Network (RAN) in terms of coverage, end-node’s power consumption, and scalability. The technologies employed so far to provide IoT scenarios with connectivity, e.g., wireless sensor network and cellular technologies, are not able to simultaneously cope with these three requirements. Thus, a novel solution known as Low Power - Wide Area Network (LP-WAN) has emerged as a promising alternative to provide with low-cost and low-power-consumption connectivity to end-nodes spread in a wide area. Concretely, the Long-Range Wide Area Network (LoRaWAN) technology is one of the LP-WAN platforms that is receiving greater attention from both the industry and the academia. For that reason, in this work, a comprehensive performance evaluation of LoRaWAN under different environmental conditions is presented. The results are obtained from three real scenarios, namely, urban, suburban, and rural, considering both dynamic and static conditions, hence a discussion about the most proper LoRaWAN physical-layer configuration for each scenario is provided. Besides, a theoretical coverage study is also conducted by the use of a radio planning tool considering topographic maps and a precise propagation model. From the attained results, it can be concluded that it is necessary to evaluate the propagation conditions of the deployment scenario prior to the system implantation in order to reach a compromise between the robustness of the network and the transmission data-rate.

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Section: Introductionmentioning

confidence: 99%

Performance Evaluation of LoRa Considering Scenario Conditions

Sánchez-Iborra

Sánchez-Gómez

Ballesta-Viñas

et al. 2018

Sensors

230

130

View full text Add to dashboard Cite

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“…Four papers on sensing techniques and applications are as follows: (1) "Reliability of improved cooperative communication over wireless sensor networks", by Chen et al [41]; (2) "User classification in crowdsourcing-based cooperative spectrum sensing", by Zhai and Wang [42]; (3) "IoT's tiny steps towards 5G: Telco's perspective", by Cero et al [43]; and (4) "Internet of things area coverage analyzer (ITHACA) for complex topographical scenarios", by Parada et al [44].…”

Section: Communication Techniques and Applicationsmentioning

confidence: 99%

“…In experimental environments, the practical geo-coordinates and network signals of 400 spots on the Gran Canaria Island in Spain were collected and analyzed. The results showed that the average successful transmission is 97%, and signal coverage maps were drawn for smart city developers [44].…”

Section: Communication Techniques and Applicationsmentioning

confidence: 99%

Introduction to the Special Issue: Applications of Internet of Things

et al. 2018

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This editorial introduces the special issue, entitled “Applications of Internet of Things”, of Symmetry. The topics covered in this issue fall under four main parts: (I) communication techniques and applications, (II) data science techniques and applications, (III) smart transportation, and (IV) smart homes. Four papers on sensing techniques and applications are included as follows: (1) “Reliability of improved cooperative communication over wireless sensor networks”, by Chen et al.; (2) “User classification in crowdsourcing-based cooperative spectrum sensing”, by Zhai and Wang; (3) “IoT’s tiny steps towards 5G: Telco’s perspective”, by Cero et al.; and (4) “An Internet of things area coverage analyzer (ITHACA) for complex topographical scenarios”, by Parada et al. One paper on data science techniques and applications is as follows: “Internet of things: a scientometric review”, by Ruiz-Rosero et al. Two papers on smart transportation are as follows: (1) “An Internet of things approach for extracting featured data using an AIS database: an application based on the viewpoint of connected ships”, by He et al.; and (2) “The development of key technologies in applications of vessels connected to the Internet”, by Tian et al. Two papers on smart home are as follows: (1) “A novel approach based on time cluster for activity recognition of daily living in smart homes”, by Liu et al.; and (2) “IoT-based image recognition system for smart home-delivered meal services”, by Tseng et al.

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“…5G networks are also envisaged to use resource sharing for both heavily bandwidth thirsty video applications and for handling data traffic from large cluster of sensors i.e., the so-called Internet of Things (IOT) [5,6]. The new IoT applications are enabling smart city initiatives worldwide [7]. Using IOT applications, the mobile users are able to monitor and control devices with high stream of real-time information.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

et al. 2019

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It has been widely speculated that the performance of the next generation based wireless network should meet a transmission speed on the order of 1000 times more than the current cellular communication systems. The frequency bands above 6 GHz have received significant attention lately as a prospective band for next generation 5G systems. The propagation characteristics for 5G networks need to be fully understood for the 5G system design. This paper presents the channel propagation characteristics for a 5G system in line of sight (LOS) and non-LOS (NLOS) scenarios. The diffraction loss (DL) and frequency drop (FD) are investigated based on collected measurement data. Indoor measurement results obtained using a high-resolution channel sounder equipped with directional horn antennas at 3.5 GHz and 28 GHz as a comparative study of the two bands below and above 6 GHz. The parameters for path loss using different path loss models of single and multi-frequencies have been estimated. The excess delay, root mean square (RMS) delay spread and the power delay profile of received paths are analyzed. The results of the path loss models show that the path loss exponent (PLE) in this indoor environment is less than the free space path loss exponent for LOS scenario at both frequencies. Moreover, the PLE is not frequency dependent. The 3GPP path loss models for single and multi-frequency in LOS scenarios have good performance in terms of PLE that is as reliable as the physically-based models. Based on the proposed models, the diffraction loss at 28 GHz is approximately twice the diffraction loss at 3.5 GHz. The findings of the power delay profile and RMS delay spread indicate that these parameters are comparable for frequency bands below and above 6 GHz.

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Internet of THings Area Coverage Analyzer (ITHACA) for Complex Topographical Scenarios

Cited by 13 publications

References 15 publications

Performance Evaluation of LoRa Considering Scenario Conditions

Performance Evaluation of LoRa Considering Scenario Conditions

Introduction to the Special Issue: Applications of Internet of Things

Comparative Study of Indoor Propagation Model Below and Above 6 GHz for 5G Wireless Networks

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