TY  - JOUR
AU  - Procopio, Edson Taira 
AU  - Mota, Alexandre Assis 
AU  - Mota, Lia Toledo Moreira 
AU  - Silva, Luiz Rodolfo Barreto da 
PY  - 2013
TI  - Received Signal Strength Indication Modeling in Indoor Wireless Sensor Networks
JF  - American Journal of Applied Sciences
VL  - 10
IS  - 9
DO  - 10.3844/ajassp.2013.1043.1049
UR  - https://thescipub.com/abstract/ajassp.2013.1043.1049
AB  - This study aims to identify mathematical models that represent the relation between Received Signal Strength Indication (RSSI) and objects in an indoor Wireless Sensor Network (WSN). Using the Least Squares Method, four linear models have been identified: The first one relates uplink RSSI and objects; the second one relates downlink RSSI and objects; the third one relates uplink RSSI and obstacles and the fourth one relates downlink RSSI and obstacles. The obtained results, characterized by small residual values, attest the validation of all four models.