Experimental exploration of RSSI model for the vehicle intelligent position system
| العنوان: | Experimental exploration of RSSI model for the vehicle intelligent position system |
|---|---|
| المؤلفون: | Cao, Zhichao, Yuan, Zhenzhou, Zhang, Silin |
| المصدر: | Journal of Industrial Engineering and Management; 2015: Vol.: 8 Núm.: 1 UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Journal of Industrial Engineering and Management, Vol 8, Iss 1, Pp 51-71 (2015) |
| بيانات النشر: | Universitat Politècnica de Catalunya, 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | RSSI model, Engineering, lcsh:T55.4-60.8, Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors [Àrees temàtiques de la UPC], Strategy and Management, Reliability (computer networking), Economia i organització d'empreses::Direcció d’operacions::Modelització de transports i logística [Àrees temàtiques de la UPC], lcsh:Business, Interference (wave propagation), shadowing factor n, Industrial and Manufacturing Engineering, lcsh:Social Sciences, Sistema de posicionament global, Position (vector), Global Positioning System, ddc:650, Calibration, lcsh:Industrial engineering. Management engineering, shadowing factor ?, Simulation, Shadowing factor η, lcsh:Commerce, Experimental performance, business.industry, intelligent position, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Regression analysis, Environmental factor n, Wireless sensor networks, Power (physics), lcsh:H, lcsh:HF1-6182, experimental performance, environmental factor n, Intelligent position, Routing (electronic design automation), lcsh:HF5001-6182, business, Wireless sensor network |
| الوصف: | Purpose: Vehicle intelligent position systems based on Received Signal Strength Indicator (RSSI) in Wireless Sensor Networks (WSNs) are efficiently utilized. The vehicle's position accuracy is of great importance for transportation behaviors, such as dynamic vehicle routing problems and multiple pedestrian routing choice behaviors and so on. Therefore, a precise position and available optimization is necessary for total parameters of conventional RSSI model. Design/methodology/approach: In this paper, we investigate the experimental performance of translating the power measurements to the corresponding distance between each pair of nodes. The priori knowledge about the environment interference could impact the accuracy of vehicles' position and the reliability of parameters greatly. Based on the real-world outdoor experiments, we compare different regression analysis of the RSSI model, in order to establish a calibration scheme on RSSI model. Findings: Empirical experimentation shows that the average errors of RSSI model are able to decrease throughout the rules of environmental factor n and shadowing factor n respectively. Moreover, the calculation complexity is reduced, as an innovative approach. Since variation tendency of environmental factor n, shadowing factor n with distance and signal strength could be simulated respectively, RSSI model fulfills the precision of the vehicle intelligent position system. Research limitations/implications: In this research, it is not evident to find the variation trend between the environmental factor n, shadowing factor n and the signal strength in view of our proposed approach. Originality/value: In our study, a methodology to calibrate the parameters of RSSI model is proposed with smaller errors. At the same time, three primary conventional model is evaluated based on the fitted regression. |
| وصف الملف: | text/html; application/pdf |
| اللغة: | Catalan; Valencian |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1ded830ccd5cae94d12e7aa64a9468dTest http://www.raco.cat/index.php/JIEM/article/view/293177Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....a1ded830ccd5cae94d12e7aa64a9468d |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |