Abstract
A novel Device-free Passive (DfP) Localisation technique that monitors wireless communications and location dependent signal characteristics is presented in this paper. The human body contains more than 70% water which is causing variances in the Received Signal Strength Indicator (RSSI) measurements. DfP is a technique to detect a person without the need for any physical devices i.e. tags or sensors. This paper focuses on communicationprotocols such as Radiogram Protocol, Transmission Control Protocol (TCP), and User Datagram Protocol (UDP), outlining the possibility of using these protocols in WirelessSensor Networks (WSNs). Histograms and historical data are new concepts in a DfP scenario which can improve the accuracy of location estimation in DfP Localisation.
| Original language | English |
|---|---|
| Pages (from-to) | 21-30 |
| Journal | Image Processing and Communications |
| Volume | 16 |
| Issue number | 4 |
| Publication status | Published (in print/issue) - 1 Mar 2012 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure
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