These behaviors take advantage of the large amount of structure that characterizes many indoor, office-like environments.
IEEE 802.11 wireless local area networks (WLANs) have been successfully deployed in many indoor and outdoor environments.
Humans inhale viable and nonviable fungi or their components in many indoor and outdoor environments, and mold-related exposures can pose a significant concern to human health [ 2– 5].
To overcome these limitations of GPS in urban and indoor environments, many studies have been carried out with various radio sources, such as wireless local access network (Wi-Fi), cellular network, IEEE 802.15.4a (UWB), ultrasonic waves, Bluetooth, and DTV signals [2 16].
Structured-light sensors have successfully been used to solve many computer vision problems in indoor environments [1].
Does the trend that more and more house owners consult the Internet pose a risk, in the form of the indoor environments of many houses deteriorating?
The influence of the exponent of the path loss model on the optimal transmit power is investigated, but just as in[15, 16], isotropic (one-slope) path loss models are assumed, which are often far from realistic in indoor environments with many different walls and wall types.
Unfortunately many papers on microclimate studies of indoor environments, especially in the field of cultural heritage conservation, could be discussed critically, because they do not state the type, number or position of the sensors used.
