Title :
Model of indoor signal propagation using log-normal shadowing
Author :
Desimone, Robert ; Brito, Betsy Mendieta ; Baston, John
Author_Institution :
Dept. of Electr. & Comput. Eng. Technol., Farmingdale State Coll., Farmingdale, NY, USA
Abstract :
Indoor signal propagation characteristics can be difficult to predict accurately. Factors such as building layout and building materials can have a major effect on signal propagation. In this paper we will model indoor signal propagation using lognormal shadowing characteristics. The benefit of this model over others is its simplicity. The accuracy of this model at predicting the relationship between received signal strength (RSS) and the distance from transmitter to receiver will be determined. The link that was tested and modeled uses the IEEE 802.11n standard. Both 2.4 GHz and 5 GHz Industrial Scientific and Medical (ISM) bands were tested and modeled.
Keywords :
building materials; indoor communication; log normal distribution; radiowave propagation; IEEE 802.11n standard; ISM bands; RSS; building layout; building materials; frequency 2.4 GHz; frequency 5 GHz; indoor signal propagation; industrial scientific and medical bands; log-normal shadowing; received signal strength; Accuracy; Data models; Fading; Loss measurement; Shadow mapping; Standards; Wireless communication;
Conference_Titel :
Systems, Applications and Technology Conference (LISAT), 2015 IEEE Long Island
Conference_Location :
Farmingdale, NY
DOI :
10.1109/LISAT.2015.7160217
