Abstract
This study aims to identify mathematical models tha t 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 identi fied: The first one relates uplink RSSI and objects ; the second one relates downlink RSSI and objects; the t hird 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.
Highlights
Nowadays, Wireless Sensor Networks (WSNs) are widely applied in residential, commercial and industrial monitoring (Doherty et al, 2001; HevinRajesh and Paramasivan, 2012)
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)
There is a great concern about the reliability of the sensor node and the base node is by analysing the Received Signal Strenght Indication (RSSI), since it has been proven that small values of RSSI have a negative impact on the WSN reliability (Camilo et al, 2006)
Summary
Wireless Sensor Networks (WSNs) are widely applied in residential, commercial and industrial monitoring (Doherty et al, 2001; HevinRajesh and Paramasivan, 2012). An WSN is an ad-hoc network composed by nodes with the capacity of collecting, processing and transmitting, in an autonomous way, data related to the area they are placed (Qian and Zhang, 2009). These networks are formed by sensor nodes,that are responsible for collecting information and for sending these data to the base node, which is connected to a computer. There is a great concern about the reliability of the sensor node and the base node is by analysing the Received Signal Strenght Indication (RSSI), since it has been proven that small values of RSSI have a negative impact on the WSN reliability (Camilo et al, 2006)
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