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Indoor wireless sensor network localization using RSSI based weighting algorithm method
Author(s)
Date Issued
July 1, 2020
Type
Conference Paper
Abstract
Now a day, appropriate and correct indoor positioning in wireless networks could provide interesting services and applications. However, there are more factors of the indoor environment caused to reduce the precise localization and also increase the error of distance. This paper presents a new method to evaluate the wireless sensor network (WSN) technology for the indoor localization. The weighting algorithms: the weight range localizer (WRL) and relative span exponential weight range localizer (RS-WRL) are using based on received signal strength indicator (RSSI) to estimate the position of target node. As the results, the cumulative distribution function (CDF) probability indicates the error of distance as properly, and this method can help to increase the precision of range based localization method in an application of indoor environment.
Citation
Proceedings 2020 6th International Conference on Engineering Applied Sciences and Technology Iceast 2020, 2020