Generic empiric propagation model for low power wireless networks operating at the 868 MHz band in smart cities

Angles-Vazquez, Albert; Vilajosana-Guillèn, Xavier; López-Vicario, José; Morell, Antoni; Tuset-Peiró, Pere; Vilajosana-Guillèn, Ignasi

doi:10.1049/iet-map.2013.0566

Cited by 8 publications

(4 citation statements)

References 29 publications

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“…In addition to the previously mentioned models, there are many other empirical or semi-empirical path loss models, such as the COST231-Hata model and the COST231–Walfish–Ikegami model [23]. However, these models require the antenna to be placed higher than 1 m or even 10 m above the ground.…”

Section: Wsn Propagation Modelsmentioning

confidence: 99%

Measurement and Analysis of Near-Ground Propagation Models under Different Terrains for Wireless Sensor Networks

Tang

Wei

et al. 2019

Sensors

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The propagation model is an essential component in the design and deployment of a wireless sensor network (WSN). Although much attention has been given to near-ground propagation models, few studies place the transceiver directly on the ground with the height of antennas at the level of a few centimeters, which is a more realistic deployment scenario for WSNs. We measured the Received Signal Strength Indication (RSSI) of these truly near-ground WSNs at 470 MHz under four different terrains, namely flat concrete road, flat grass and two derived scenarios, and obtained the corresponding path loss models. By comprehensive analysis of the influence of different antenna heights and terrain factors, we showed the limit of existing theoretical models and proposed a propagation model selection strategy to more accurately reflect the true characteristics of the near-ground wireless channels for WSNs. In addition, we implemented these models on Cooja simulator and showed that simplistic theoretical models would induce great inaccuracy of network connectivity estimation.

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Section: Wsn Propagation Modelsmentioning

confidence: 99%

Measurement and Analysis of Near-Ground Propagation Models under Different Terrains for Wireless Sensor Networks

Tang

Wei

et al. 2019

Sensors

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“…Vazquez et al [73] considered rather a smart city scenario, using the 868MHz band, and estimated the path loss in different situations, depending on the location of the antenna (on top of a building vs. in the street).…”

Section: ) Experimental Measures To Calibrate the Modelsmentioning

confidence: 99%

A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks

Kritsis

Papadopoulos

Gallais

et al. 2018

IEEE Commun. Surv. Tutorials

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Envisioned communication densities in Internet of Things (IoT) applications are increasing continuously. Because these wireless devices are often battery powered, we need specific energy efficient (low-power) solutions. Moreover, these smart objects use low-cost hardware with possibly weak links, leading to a lossy network. Once deployed, these Low-power Lossy Networks (LLNs) are intended to collect the expected measurements, handle transient faults and topology changes, etc. Consequently, validation and verification during the protocol development are a matter of prime importance. A large range of theoretical or practical tools are available for performance evaluation. A theoretical analysis may demonstrate that the performance guarantees are respected, while simulations or experiments aim on estimating the behaviour of a set of protocols within real-world scenarios. In this article, we review the various parameters that should be taken into account during such a performance evaluation. Our primary purpose is to provide a tutorial that specifies guidelines for conducting performance evaluation campaigns of network protocols in LLNs. We detail the general approach adopted in order to evaluate the performance of layer 2 and 3 protocols in LLNs. Furthermore, we also specify the methodology that should be adopted during the performance evaluation, while reviewing the numerous models and tools that are available to the research community.

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“…One of the potential solutions is embracing the MM-Wave band for wireless connectivity. In addition, low power consumption and miniaturization are the utmost requirements for the smart city based wireless communication systems [306], [325], [327]. With the AoCs, the use of antenna arrays [328] for this application is an attractive choice.…”

Section: K Smart City: Potentials and Challengesmentioning

confidence: 99%

The Potentials, Challenges, and Future Directions of On-Chip-Antennas for Emerging Wireless Applications—A Comprehensive Survey

et al. 2019

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The ever-growing demand for low power, high performance, cost-effective, low-profile, and highly integrated wireless systems for emerging applications has triggered the need for the enormous innovations in wireless transceiver systems, components, architectures and technologies. This is especially valid for the antenna which is an integral component of the wireless transceiver systems and contributes significantly in determining their overall performance. Antenna-on-Chip (AoC) is an alternative antenna technology, which has drawn a substantial attention in recent days because of its various benefits over off-chip antenna technology. A few of these benefits include miniaturization, low power, low cost, and high integration of the wireless modules. Motivated by these valuable advantages and to unveil the true potential of the AoCs, this article presents, for the first time, a comprehensive survey of the suitability, advantages, and challenges of the AoCs for the emerging wireless applications such as 5th generation (5G) Wireless Systems, Internet-of-Things (IoT) Wireless Devices and Systems, Wireless Sensor Networks (WSNs), Wireless Interconnects, Wireless Energy Transfer, Radio Frequency (RF) Energy Harvesting, Biomedical Implants, Unmanned Aerial Vehicles (UAVs), Autonomous vehicles, Innovative characterization methods for Integrated Circuits (ICs) and Antennas, and Smart City. In addition, this article presents the current stateof-the-art of the AoC's applications by classifying their applications in Millimeter-Wave (MM-Wave) band, Terahertz (THz) band, and low-frequency bands. The article also investigates and describes some useful methods for the mitigation of the challenges and issues posed by the emerging applications for the realization of the AoCs in a systematic manner. A concise description of the future directions of the AoCs with respect to each emerging application is also a part of this article. It is expected that this well-structured and organized survey will not only act as an excellent source of scholarship for the relevant research community, but also open up a world of novel research opportunities.

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Generic empiric propagation model for low power wireless networks operating at the 868 MHz band in smart cities

Cited by 8 publications

References 29 publications

Measurement and Analysis of Near-Ground Propagation Models under Different Terrains for Wireless Sensor Networks

Measurement and Analysis of Near-Ground Propagation Models under Different Terrains for Wireless Sensor Networks

A Tutorial on Performance Evaluation and Validation Methodology for Low-Power and Lossy Networks

The Potentials, Challenges, and Future Directions of On-Chip-Antennas for Emerging Wireless Applications—A Comprehensive Survey

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