TY - GEN
T1 - Path Loss Results for Wireless Sensor Network Deployment in a Long Grass Environment
AU - Alsayyari, Abdulaziz
AU - Aldosary, Abdallh
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In this paper, a full set of radio frequency (RF) propagation measurements is provided for wireless sensor nodes deployed in a long grass environment. The measurements were made to evaluate signal attenuation in open space environments where long grasses are present. Empirical RF models are often derived from such measurements, which for the case of this paper has already been presented in previous work. In this paper, however, more details on model derivation are provided as well as the variations of received signal strength (RSS) for eight different distances. In addition, the empirical path loss model of the investigated environment is compared with models previously presented in other outdoor environments. These environments are sand terrain, concrete terrain, dense tree, sparse tree, and artificial turf. Comparing these different environments together shows major differences in the prediction of path loss values, path loss exponent (PLE), and variation elements. Furthermore, the empirical model is compared with popular theoretical models (i.e., free space path loss and two ray path loss). The comparison results show an inaccuracy of RSS values predicted by these theoretical models for WSN deployment in long grass environments.
AB - In this paper, a full set of radio frequency (RF) propagation measurements is provided for wireless sensor nodes deployed in a long grass environment. The measurements were made to evaluate signal attenuation in open space environments where long grasses are present. Empirical RF models are often derived from such measurements, which for the case of this paper has already been presented in previous work. In this paper, however, more details on model derivation are provided as well as the variations of received signal strength (RSS) for eight different distances. In addition, the empirical path loss model of the investigated environment is compared with models previously presented in other outdoor environments. These environments are sand terrain, concrete terrain, dense tree, sparse tree, and artificial turf. Comparing these different environments together shows major differences in the prediction of path loss values, path loss exponent (PLE), and variation elements. Furthermore, the empirical model is compared with popular theoretical models (i.e., free space path loss and two ray path loss). The comparison results show an inaccuracy of RSS values predicted by these theoretical models for WSN deployment in long grass environments.
KW - Channel Modeling
KW - Localization
KW - Path Loss
KW - Radio Frequency Propagation Models
KW - Wireless Sensor Networks
KW - WSN Deployment
UR - http://www.scopus.com/inward/record.url?scp=85050792780&partnerID=8YFLogxK
U2 - 10.1109/ICWISE.2018.8633280
DO - 10.1109/ICWISE.2018.8633280
M3 - Conference contribution
AN - SCOPUS:85050792780
T3 - 2018 IEEE Conference on Wireless Sensors, ICWiSe 2018
SP - 50
EP - 55
BT - 2018 IEEE Conference on Wireless Sensors, ICWiSe 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Conference on Wireless Sensors, ICWiSe 2018
Y2 - 21 November 2018 through 22 November 2018
ER -