Improved fingerprinting performance in indoor positioning by reducing duration of the training phase process

Andika Muharam, Abdi Wahab, Mudrik Alaydrus

Abstract


Wireless Sensor Network (WSN) can be used as a solution to find out the position of an object that cannot be reached by GPS (Global Positioning System), for example to find out the position of objects in a room known as Indoor Positioning. One method in indoor positioning that can be used is fingerprinting. Inside there are two main work phases, namely training and positioning. In the training phase is the process of collecting RSSI (Received Signal Strength Indication) data levels from each sensor node reference that will be used as a reference value for the positioning phase. The more sensor nodes used, the longer the processing time needed in the training phase. This research focuses on the duration of the training phase, the implementation of which uses 4 sensor nodes, namely Zigbee (IEEE 802.15.4 protocol) arranged according to mesh network topology, one as Node X (Positioning Target) and 3 as reference nodes. There are two methods used in the training phase, namely Fixed Target Parameter (FTP) and Moving Target Parameter (MTP). MTP takes 5 seconds faster than FTP in terms of the duration of RSSI data collection from each reference node.

Keywords


Fingerprinting; Indoor positioning; RSSI; Training phase; Wireless sensor network; Zigbee;



DOI: http://doi.org/10.11591/ijeecs.v24.i1.pp%25p

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