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Open AccessArticle

Challenges in Wireless System Integration as Enablers for Indoor Context Aware Environments

1
Electrical and Electronic Engineering Department, Public University of Navarre, Pamplona 31006, Spain
2
Institute of Smart Cities, Public University of Navarre, Pamplona 31006, Spain
3
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico
4
Mathematical Engineering and Computer Science Department, Public University of Navarre, Pamplona 31006, Spain
*
Author to whom correspondence should be addressed.
Sensors 2017, 17(7), 1616; https://doi.org/10.3390/s17071616
Received: 31 May 2017 / Revised: 8 July 2017 / Accepted: 10 July 2017 / Published: 12 July 2017
The advent of fully interactive environments within Smart Cities and Smart Regions requires the use of multiple wireless systems. In the case of user-device interaction, which finds multiple applications such as Ambient Assisted Living, Intelligent Transportation Systems or Smart Grids, among others, large amount of transceivers are employed in order to achieve anytime, anyplace and any device connectivity. The resulting combination of heterogeneous wireless network exhibits fundamental limitations derived from Coverage/Capacity relations, as a function of required Quality of Service parameters, required bit rate, energy restrictions and adaptive modulation and coding schemes. In this context, inherent transceiver density poses challenges in overall system operation, given by multiple node operation which increases overall interference levels. In this work, a deterministic based analysis applied to variable density wireless sensor network operation within complex indoor scenarios is presented, as a function of topological node distribution. The extensive analysis derives interference characterizations, both for conventional transceivers as well as wearables, which provide relevant information in terms of individual node configuration as well as complete network layout. View Full-Text
Keywords: smart cities; smart regions; context aware environments; wireless sensor networks (WSN); interference management smart cities; smart regions; context aware environments; wireless sensor networks (WSN); interference management
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López-Iturri, P.; Aguirre, E.; Azpilicueta, L.; Astrain, J.J.; Villandangos, J.; Falcone, F. Challenges in Wireless System Integration as Enablers for Indoor Context Aware Environments. Sensors 2017, 17, 1616.

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