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An Improved Hybrid Framework for Evaluating a Mobile Device Location in a Wireless Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 174 - Number 23 |
| Year of Publication: 2021 |
| Authors: Adekunle A. Adeyelu, Onaji J. Onah, Iwuese J. Orban |
10.5120/ijca2021920868
|
Adekunle A. Adeyelu, Onaji J. Onah, Iwuese J. Orban . An Improved Hybrid Framework for Evaluating a Mobile Device Location in a Wireless Network. International Journal of Computer Applications. 174, 23 ( Mar 2021), 7-14. DOI=10.5120/ijca2021920868
Abstract
Studies on techniques to track an object from a remote location have been ongoing for several years. Existing outdoor solutions to locate a Mobile Station (MS) within a cellular network require optimization in terms of accuracy and latency. In this study, an Enhanced Mobile Station Positioning (EMSP) architecture for a Wireless Sensor Network was developed and its performance was appraised using accuracy and latency metrics. The model is a fusion of the Received Signal Strength (RSS) and Time Difference of Arrival (TDOA) techniques. The RSS used the strength of the signal received at four Base Stations (BS) positioned within the neighborhood of the MS to locate it while the TDOA paradigm utilized the difference in arrival time of the signals to locate the MS. The RSS forms a circle on which the MS can be traced while the TDOA offers a hyperbola on which the MS can be located. The mathematical model was derived by solving both the circles and the hyperbolas with Taylor’s series expansion formula. The estimated position of the MS was determined using Linear Least Square (LLS) solution in a repetitive manner. The performance of the simulated model was evaluated using accuracy and latency metrics. The result showed that a MS was located within error distances of 115m for 67% and 152m for 95% of the time it was deployed. This result outclassed the same technique using three BS (as benchmark) which located the MS within 128m at 67% deployment and 175m at 95% of the time, an 11.6% improvement in accuracy. The results also revealed that the latency experienced when the BSs were increased from three to four increased by 22.67%. It can be concluded that increasing the number of BSs from three to four gave a significant improvement in accuracy in locating a MS within the BSs.
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