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http://localhost:8081/xmlui/handle/123456789/15657
Title: | NON LINEAR AND EFFICIENT RF ENERGY HARVESTING FOR BACKSCATTER SENSOR NETWORK WITH EXTENDED COMMUNICATION RANGE |
Authors: | Malik, Mandeep |
Keywords: | Wireless Sensor Networks;Radio Frequency;Radio Frequency Identi cation;Cumulative Distribution Function |
Issue Date: | Jun-2019 |
Publisher: | I I T ROORKEE |
Abstract: | This work provides an insight into all Non linear energy harvesting models and there comparison under different fading environments to substantiate the work carried out in previous semester where non linear energy harvesting was proposed along with sensitivity and saturation effects. It is the building block for IoT which works on a giant network of sensors and devices, all these billions of ultra low power devices can be powered by means of energy harvesting and also give boost to green communication. Different rectenna congurations are also compared to nd a suitable one which gives high conversion effciency for a below zero dBm input power also. study is carried out on Passive RFID with non linear energy harvesting for a plethora of IoT applications. In addition to the work carried out in last semester on aa single passive RFID, here comparison and analysis of a number of RFID topologies have been carried out. Multi-static and Mono-static RFID architecture is studied and there placement schemes are veri ed for successful reception and minimum information outage. Passive RFID also called back-scatter radio or communication by means of scattering is a building technology which works on energy harvesting and can be used in a number of application, like tracking, logistics management and precision agriculture where a network of tags are placed in a geographical area and the data is shared by means of reflection with a software defi ned radio called a reader. |
URI: | http://localhost:8081/xmlui/handle/123456789/15657 |
metadata.dc.type: | Other |
Appears in Collections: | MASTERS' THESES (E & C) |
Files in This Item:
File | Description | Size | Format | |
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G29235.pdf | 1.19 MB | Adobe PDF | View/Open |
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