The Experts below are selected from a list of 20028 Experts worldwide ranked by ideXlab platform

Conor Brennan - One of the best experts on this subject based on the ideXlab platform.

  • An initial Path-Loss Model within vegetation in the THz band
    2015 9th European Conference on Antennas and Propagation (EuCAP), 2015
    Co-Authors: Armita Afsharinejad, Alan Davy, Brendan Jennings, Conor Brennan
    Abstract:

    As the first step to Model THz radiation through vegetation, we propose an initial Path-Loss Model. This Model considers the effect of the absorption and scattering Loss due to air molecules and leaves on THz radiations. The attenuation Loss of leaves can be derived by the means of THz time-domain spectroscopy for different types of leaves. Furthermore, by considering the effect of the leaf density on the total Path-Loss, this Model can be customized for a variety of plant species. The proposed Path-Loss Model can be deployed in plant monitoring applications of electromagnetic nano-sensor networks, which will be highly sensitive and will operate in the THz band.

  • GLOBECOM - A Path-Loss Model Incorporating Shadowing for THz Band Propagation in Vegetation
    2015 IEEE Global Communications Conference (GLOBECOM), 2015
    Co-Authors: Armita Afsharinejad, Alan Davy, Brendan Jennings, Sergio Rasmann, Conor Brennan
    Abstract:

    As a step towards the realization of wireless nanosensor networks in agricultural monitoring applications, a theoretical Path-Loss Model is proposed. This Model can predict the average attenuation of THz radiation in a channel composed of air and plant leaves, given the composition of air as well as attributes of leaves such as their permitivity. In addition, a Monte Carlo-based log-distance Path-Loss Model in the vicinity of a plant is proposed, which takes the shadow fading nature of such a channel into account. The latter Model, which is based on the transmission distance, can approximate variations of THz Path-Loss from its mean value. Through simulation results, it is shown that the proposed log-distance/Monte Carlo- based Model is in good agreement with the theoretical Model.

Abdulaziz Alsayyari - One of the best experts on this subject based on the ideXlab platform.

  • an empirical Path Loss Model for wireless sensor network deployment in a dense tree environment
    Static Analysis Symposium, 2017
    Co-Authors: Abdulaziz Alsayyari, Ivica Kostanic, Carlos E. Otero, Abdallah Aldosary
    Abstract:

    This paper presents a Model for predicting radio frequency (RF) propagation for Wireless Sensor Network (WSN) deployment in a dense tree environment. To create the Model, data from a physical deployment are collected and an empirical Path Loss prediction Model is derived from the actual measurements. Furthermore, the presented measurements and empirical Path Loss Model are compared with measurements and Models obtained from WSN deployments in other terrains, such as one characterized by long-grass and another by sparse-tree environments. The results from the comparison of these different terrains show significant differences in Path Loss and empirical Models' parameters. In addition, the proposed Model is compared with Free Space Path Loss (FSPL) and Two-Ray Models to demonstrate the inaccuracy of these theoretical Models in predicting Path Loss between wireless sensor nodes deployed in dense tree environment.

  • An empirical Path Loss Model for Wireless Sensor Network deployment in a concrete surface environment
    2015 IEEE 16th Annual Wireless and Microwave Technology Conference (WAMICON), 2015
    Co-Authors: Abdulaziz Alsayyari, Ivica Kostanic, Carlos E. Otero
    Abstract:

    This paper presents a Path Loss Model for predicting signal propagation of wireless sensor nodes deployed in concrete surface environments. To create the Model, radio frequency (RF) measurements were collected through Wireless Sensor Network (WSN) deployment in such environment. From the actual measurements, the parameters of the log-normal shadowing Model are fine-tuned to develop an accurate Path Loss Model. In addition, the presented RF measurements and empirical Path Loss Model are compared with measurements and Models obtained from long-grass and sparse-tree environments, which were presented in a previous work. The results from the comparison of such different environments show significant differences in Path Loss and empirical Models' parameters. Furthermore, the comparison between the proposed Model and largely used Path Loss Models such as free space Path Loss (FSPL) and Two-Ray demonstrate the inaccuracy of these Models in predicting Path Loss between wireless sensor nodes deployed in concrete surface environments.

  • an empirical Path Loss Model for wireless sensor network deployment in an artificial turf environment
    International Conference on Networking Sensing and Control, 2014
    Co-Authors: Abdulaziz Alsayyari, Ivica Kostanic, Carlos E. Otero
    Abstract:

    This paper presents a Model for predicting Radio Frequency (RF) propagation for Wireless Sensor Network (WSN) deployment in an artificial turf environment. To create the Model, data from a physical deployment are collected and an empirical Path Loss prediction Model is derived from the actual measurements. Furthermore, the presented measurements and empirical Path Loss Model are compared with measurements and Models obtained from WSN deployments in other terrains, such as one characterized by long-grass and another by sparse-tree environments. The results from the comparison of these different terrains show significant differences in Path Loss and empirical Models' parameters. In addition, the proposed Model is compared with Free Space Path Loss (FSPL) and Two-Ray Models to demonstrate the inaccuracy of these theoretical Models in predicting Path Loss between wireless sensor nodes deployed in artificial turf environments.

Carlos E. Otero - One of the best experts on this subject based on the ideXlab platform.

  • an empirical Path Loss Model for wireless sensor network deployment in a dense tree environment
    Static Analysis Symposium, 2017
    Co-Authors: Abdulaziz Alsayyari, Ivica Kostanic, Carlos E. Otero, Abdallah Aldosary
    Abstract:

    This paper presents a Model for predicting radio frequency (RF) propagation for Wireless Sensor Network (WSN) deployment in a dense tree environment. To create the Model, data from a physical deployment are collected and an empirical Path Loss prediction Model is derived from the actual measurements. Furthermore, the presented measurements and empirical Path Loss Model are compared with measurements and Models obtained from WSN deployments in other terrains, such as one characterized by long-grass and another by sparse-tree environments. The results from the comparison of these different terrains show significant differences in Path Loss and empirical Models' parameters. In addition, the proposed Model is compared with Free Space Path Loss (FSPL) and Two-Ray Models to demonstrate the inaccuracy of these theoretical Models in predicting Path Loss between wireless sensor nodes deployed in dense tree environment.

  • An empirical Path Loss Model for Wireless Sensor Network deployment in a concrete surface environment
    2015 IEEE 16th Annual Wireless and Microwave Technology Conference (WAMICON), 2015
    Co-Authors: Abdulaziz Alsayyari, Ivica Kostanic, Carlos E. Otero
    Abstract:

    This paper presents a Path Loss Model for predicting signal propagation of wireless sensor nodes deployed in concrete surface environments. To create the Model, radio frequency (RF) measurements were collected through Wireless Sensor Network (WSN) deployment in such environment. From the actual measurements, the parameters of the log-normal shadowing Model are fine-tuned to develop an accurate Path Loss Model. In addition, the presented RF measurements and empirical Path Loss Model are compared with measurements and Models obtained from long-grass and sparse-tree environments, which were presented in a previous work. The results from the comparison of such different environments show significant differences in Path Loss and empirical Models' parameters. Furthermore, the comparison between the proposed Model and largely used Path Loss Models such as free space Path Loss (FSPL) and Two-Ray demonstrate the inaccuracy of these Models in predicting Path Loss between wireless sensor nodes deployed in concrete surface environments.

  • an empirical Path Loss Model for wireless sensor network deployment in an artificial turf environment
    International Conference on Networking Sensing and Control, 2014
    Co-Authors: Abdulaziz Alsayyari, Ivica Kostanic, Carlos E. Otero
    Abstract:

    This paper presents a Model for predicting Radio Frequency (RF) propagation for Wireless Sensor Network (WSN) deployment in an artificial turf environment. To create the Model, data from a physical deployment are collected and an empirical Path Loss prediction Model is derived from the actual measurements. Furthermore, the presented measurements and empirical Path Loss Model are compared with measurements and Models obtained from WSN deployments in other terrains, such as one characterized by long-grass and another by sparse-tree environments. The results from the comparison of these different terrains show significant differences in Path Loss and empirical Models' parameters. In addition, the proposed Model is compared with Free Space Path Loss (FSPL) and Two-Ray Models to demonstrate the inaccuracy of these theoretical Models in predicting Path Loss between wireless sensor nodes deployed in artificial turf environments.

Abdallah Aldosary - One of the best experts on this subject based on the ideXlab platform.

  • an empirical Path Loss Model for wireless sensor network deployment in a dense tree environment
    Static Analysis Symposium, 2017
    Co-Authors: Abdulaziz Alsayyari, Ivica Kostanic, Carlos E. Otero, Abdallah Aldosary
    Abstract:

    This paper presents a Model for predicting radio frequency (RF) propagation for Wireless Sensor Network (WSN) deployment in a dense tree environment. To create the Model, data from a physical deployment are collected and an empirical Path Loss prediction Model is derived from the actual measurements. Furthermore, the presented measurements and empirical Path Loss Model are compared with measurements and Models obtained from WSN deployments in other terrains, such as one characterized by long-grass and another by sparse-tree environments. The results from the comparison of these different terrains show significant differences in Path Loss and empirical Models' parameters. In addition, the proposed Model is compared with Free Space Path Loss (FSPL) and Two-Ray Models to demonstrate the inaccuracy of these theoretical Models in predicting Path Loss between wireless sensor nodes deployed in dense tree environment.

Fredrik Harrysson - One of the best experts on this subject based on the ideXlab platform.

  • a simple directional Path Loss Model for a terminal inside a car
    1 pp 119-122 (2003), 2003
    Co-Authors: Fredrik Harrysson
    Abstract:

    Measurements of the radiation from a dipole lambda/2-dipole antenna inside a common car was compared to calculations at 1.9 GHz, to establish a principal knowledge of the radiation mechanism related to a vehicle such as a car. Based on this a new simple directional Path Loss Model is proposed, that uses minimal knowledge of the vehicle's geometry. This Model may be well suited for simulations of mobile communication systems when the terminal is placed inside cars or other similar vehicles.

  • a simple directional Path Loss Model for a terminal inside a car
    Vehicular Technology Conference, 2003
    Co-Authors: Fredrik Harrysson
    Abstract:

    Measurements of the radiation from a /spl lambda//2-dipole antenna inside a common car was compared to calculations at 1.9 GHz, to establish a principal knowledge of the radiation mechanism related to a vehicle such as a car. Based on this a new simple directional Path Loss Model is proposed, that uses minimal knowledge of the vehicle's geometry. This Model may be well suited for simulations of mobile communication systems when the terminal is placed inside cars or other similar vehicles.