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Information Based Smart RF Energy Ha...

Tripathi, Asheesh.

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Information Based Smart RF Energy Harvesting in Wireless Sensor Networks.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Information Based Smart RF Energy Harvesting in Wireless Sensor Networks./
作者:	Tripathi, Asheesh.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	73 p.
附註:	Source: Masters Abstracts International, Volume: 82-03.
Contained By:	Masters Abstracts International82-03.
標題:	Electrical engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28086114
ISBN:	9798664705225

Information Based Smart RF Energy Harvesting in Wireless Sensor Networks.
Tripathi, Asheesh.

Information Based Smart RF Energy Harvesting in Wireless Sensor Networks. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 73 p.

Source: Masters Abstracts International, Volume: 82-03.

Thesis (M.S.)--The University of North Carolina at Charlotte, 2020.

This item must not be sold to any third party vendors.

A major constraint for long term sustainability of wireless sensor networks (WSN) and the Internet of Things (IoT) is the limitation of their energy resources. Most wireless sensors are low energy consuming devices which are, in general, designed to transmit sporadically, and various energy saving techniques have been proposed to reduce the power consumption. However, battery replacement in sensor nodes can be a prohibitively expensive exercise because of their abundance. Dedicated RF energy harvesting (R-EH) has emerged as a promising technique to improve the lifespan, reliability, and capacity of WSN and IoT networks. This work evaluates the potential benefit of using a combination of an omnidirectional RF energy transmitter for getting periodic information updates, and then beam steering, by physically rotating a directional RF energy transmitter, to achieve higher sampling rates from the areas of need. An information based scheme for steering directional RF energy transmitter is presented that is based on the number of alarms (an indication of abnormal events) received from the network. An energy harvesting development kit for wireless sensor network manufactured by Powercast Corporation is used for developing the proof of concept. This work is supported by extensive MATLAB simulations to analyze the proposed scheme performance in different network scenarios. The simulation results show that the proposed maximum alarm based directional transmitter rotation scheme performs significantly better than the sequential transmitter rotation in terms of total abnormal events detected and alarms received per abnormal event occurred.

ISBN: 9798664705225Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Beam steering

Information Based Smart RF Energy Harvesting in Wireless Sensor Networks.
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520 $a A major constraint for long term sustainability of wireless sensor networks (WSN) and the Internet of Things (IoT) is the limitation of their energy resources. Most wireless sensors are low energy consuming devices which are, in general, designed to transmit sporadically, and various energy saving techniques have been proposed to reduce the power consumption. However, battery replacement in sensor nodes can be a prohibitively expensive exercise because of their abundance. Dedicated RF energy harvesting (R-EH) has emerged as a promising technique to improve the lifespan, reliability, and capacity of WSN and IoT networks. This work evaluates the potential benefit of using a combination of an omnidirectional RF energy transmitter for getting periodic information updates, and then beam steering, by physically rotating a directional RF energy transmitter, to achieve higher sampling rates from the areas of need. An information based scheme for steering directional RF energy transmitter is presented that is based on the number of alarms (an indication of abnormal events) received from the network. An energy harvesting development kit for wireless sensor network manufactured by Powercast Corporation is used for developing the proof of concept. This work is supported by extensive MATLAB simulations to analyze the proposed scheme performance in different network scenarios. The simulation results show that the proposed maximum alarm based directional transmitter rotation scheme performs significantly better than the sequential transmitter rotation in terms of total abnormal events detected and alarms received per abnormal event occurred.
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653 $a RF energy harvesting
653 $a Smart
653 $a Wireless sensor networks
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