Abstract
The influence of topology as well as morphology of complex indoor scenarios in the deployment of wireless sensor networks and wireless systems applied to home and building automation systems is analyzed. The existence of loss mechanisms such as material absorption (walls, furniture, etc.) and strong multipath components as well as the increase in the number of wireless sensors within indoor scenarios increases the relevance in the configuration of the heterogeneous wireless systems. Simulation results by means of empirical-based models are compared with an in-house 3D ray launching code as well as measurement results from wireless sensor networks illustrate the strong influence of the indoor scenario in the overall performance. The use of adequate radioplanning strategies lead to optimal wireless network deployments in terms of capacity, quality of service, and reduced power consumption.
Highlights
IntroductionThe use of wireless sensor networks (WSNs) is growing rapidly into a large number of fields of application [1,2,3], such as building automation systems (BAS), industrial monitoring [4, 5], farming and agriculture [6,7,8,9], structural monitoring [10], civil infrastructure state monitoring [11,12,13], healthcare monitoring [14, 15], location and guiding [16], or security and defense, among others
In order to analyze the impact of the topology and morphology of the indoor scenario, in wireless system behavior, initial results can be obtained by simulation
An in-house deterministic code based on 3D ray launching has been developed to analyze the effect of the indoor topology and morphology in the operation of wireless links within two different realistic scenarios
Summary
The use of wireless sensor networks (WSNs) is growing rapidly into a large number of fields of application [1,2,3], such as building automation systems (BAS), industrial monitoring [4, 5], farming and agriculture [6,7,8,9], structural monitoring [10], civil infrastructure state monitoring [11,12,13], healthcare monitoring [14, 15], location and guiding [16], or security and defense, among others. In the case of home and building automation systems, the foreseen scenario is indoor, with high complexity related to the topology as well as the morphology. This leads to increased losses, in terms of material absorption as well as to strong multipath propagation. Future systems will tend to use a large number of sensors, in which energy consumption as well as capacity are key issues to be considered
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