Analysis of RSSI-based DFL for human detection in indoor environment using IRIS mote

Abstract

IoT technology has improved the quality of life as well as provides intelligence and comforts to the user. A Wireless Sensor Networks (WSN) technology is one of the powerful technologies that enable IoT objects to communicate with each other. Device-Free Localization (DFL) system exploits changes in radio signals across different environments aims to detect and track entities without requiring them to carry any additional RF devices or to be cooperatively participating with the localization process. This paper proposes a received signal strength indicator (RSSI) - based DFL system that can be used to detect human presence in an area of interest (AoI) using changes in signal strength measurements. The main objective of this paper is to design a DFL system that can be easily deployed and configured using IRIS mote from MEMSIC based on `plug and play' concept and operates in real time. The system is deployed in CEASTech's Research Room by using the IRIS mote as the communication module in the network. The principle behind this is that the human body and motion have strong impact on the signal strength of indoor wireless links being transmitted from a transmitter to one or more base stations by either shadowing or diffraction, or by scattering. Result shows that signal strength fluctuate by 3.97dBm and from 10 to 15dBm with the presence of stationary human and moving human respectively.