Human Positioning Estimation Method Using Received Signal Strength Indicator (RSSI) in a Wireless Sensor Network

AbstractWireless sensor networks continue to advance due to the recent dramatic progress in sensor devices. The innovative use of the received signal strength indicator (RSSI) will yield new applications in human position estimation, an important function in safe and secure services, especially for the elderly, and energy efficiency in small areas or homes. This paper proposes a simple method for estimating human position, together with a new signal processing procedure that uses RSSI. This method is simple and has the exciting benefit of compatibility with existing devices and existing wireless sensor networks, the current RSSI function is employed more effectively. Two experiments verify the performance of the proposed method. An experiment in a laboratory building showed good performance with 100% accuracy. However, in an actual field trial in a library hosting several wireless sensor devices its accuracy fell to 75%. Estimation performance is expected to improve with the use of multiple paths