Status : Verified
| Personal Name | Lacerna, Jesus Victor G. |
|---|---|
| Resource Title | A heuristic approach to classifying different multiple urban settings for ambient RF energy harvesting potential |
| Date Issued | May 2021 |
| Abstract | This paper aims to develop a Graphical Footprint Model (GFM) that will validate radio frequency (RF) energy harvesting capabilities of radio frequency (RF) energy sources, such as frequency modulation (FM), television (TV), and cellular technology (Cell) for validation of RF at different classified multiple urban settings. The GFM is composed of scoring scheme for energy capabilities, which is based on a -20dBm and up of Power Received Levels (PRL) at different classified multiple urban settings, which includes Line of Sight (LOS), Rural (R), Suburban (S), Urban High (UH), Urban Very High (UVH), and Non-Line of Sight (NLOS) settings. The Communications Engineering Formula Budget link was used to get the PRL for RF potentials in dBm, to determine the classified multi-settings together with the RF sources for RF harvesting capabilities. In establishing a benchmark for the GFM, a review of twenty one research studies was undertaken for data analytics. The result of the exercise showed a percentage acceptabili |
| Degree Course | PhD Energy Engineering |
| Language | English |
| Keyword | model energy harvesting; RF harvesting; scavenging |
| Material Type | Thesis/Dissertation |
Preliminary Pages
3.69 Mb
Category : F - Regular work, i.e., it has no patentable invention or creation, the author does not wish for personal publication, there is no confidential information.
Access Permission : Limited Access