Abstract
Proliferation of indoor sensor infrastructure has created a new niche for mobile communications, yet research in indoor radio propagation still has not generated a definite model that is able to 1) precisely capture radio signatures in 3-D environments and 2) effectively apply to radios at a wide range of frequency bands. This paper first introduces the impact of wall obstructions on indoor radio propagation by experimental results through a full cycle of an indoor construction process; it then exploits a dynamic 3-D indoor radio propagation model in a two-story building using radio technologies at both 433 MHz and 2.4 GHz. Experimental measurements and evaluation results show that the proposed 3-D model generates accurate signal strength values at all data evaluation positions. Comparing the two radio technologies, this study also indicates that low frequency radios (such as 433 MHz) might not be attractive for indoor mobile computing applications because of larger experimental errors or constant absence of measurement data.
Highlights
When Mark Weiser first coined the phrase “ubiquitous computing” around 1988 [1,2], the idea of “information available at our fingertips during a walk” was stilla dream
For the WiFi radio, we considered the building as a single unit and evaluated both models, i.e., Equation (5) using the empirical method given in [88]
We first demonstrated the essential impact of wall obstructions on indoor radio propagation by experimental results through a full cycle of an indoor construction process
Summary
When Mark Weiser first coined the phrase “ubiquitous computing” around 1988 [1,2], the idea of “information available at our fingertips during a walk” was stilla dream. Through relentless pursuit of innovations in wireless communication and energy efficient hardware technology, we are gradually turning this dream into reality. Smart phones and tablets, enabled with adaptive software, have generated lucrative revenues for business and have inspired numerous waves of research efforts in mobile computing. In this context, location-based services have attracted considerable attention because of their potential to empower mobile computing with highly personalized and context-aware services [3,4]. This paper continue sour previous research [6,7,8,9,10,11,12] and develops and evaluates a 3Dindoor radio propagation model that will help understand radio propagation in complex indoor environment and contribute a set of genuinely applications that depend on real-time radio propagation signatures for a wide range of radio frequencies
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Communications, Network and System Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
