Abstract
This paper presents the research of an intelligent local search method for dynamic indoor path tracking over a low-cost, simple connected wireless sensor network (WSN) in the applications of the tour guidance in the theme exhibition, large-scale market and shopping center, etc. The enhanced heuristic-based path tracking algorithm (EHPTA) incorporates the weighted vertex-in-the-intersection method for wireless triangulation and explores three searching steps for dynamic path tracking while considering the effects of received signal deterioration through a RSSI (received signal strength indication) vs. distance curve which have been plotted by experimental measurements. Four kinds of scenarios of total 13 simulated paths and 2 real paths, an 8-meter-perimeter square path and a 16-meter zigzag-like path, have been designed and tracked to evaluate the proposed algorithm’s performance on tracking optimality. The numerical results show that the EHPTA achieves an outstanding performance among the developed techniques.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
