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Energy-efficient device architecture and technologies for the internet of everything

University of British Columbia

Around the globe, integrating information and communication technologies with physical infrastructure is a top priority in pursuing smart, green living to improve energy efficiency, protect the environment, improve the quality of life, and bolster economy competitiveness. Internet-of-Everything (IoE) is a network of uniquely identifiable, accessible, and manageable smart things that are connected through a network of heterogeneous devices and people, usually consisting of battery-operated nodes, and mostly working at remote places, without human intervention. This leads us to issues concerning IoE Systems such as network lifetime, battery efficiency, carbon emissions, low-power security and efficient data transmission, which have been analysed in this thesis and solutions have been proposed for them. First, we investigate wireless energy harvesting (WEH), wake-up radio (WUR) scheme, and error control coding (ECC) as enabling solutions to enhance the performance of sensor networks-based IoE systems while reducing their carbon footprints. Specifically, a utility-lifetime maximization problem incorporating WEH, WUR, and ECC, is formulated and solved using a distributed dual sub gradient algorithm based on the Lagrange multiplier method. Discussion and verification through simulation results show how the proposed solutions improve network utility, prolong the lifetime, and pave the way for a greener IoE by reducing their carbon footprints. Next, we introduce active radio frequency identification tags based cluster head selection, data-awareness and energy harvesting in IoE systems. The results show that such IoE systems are better equipped to deal with energy efficiency and data delivery problems. Simulation results support our data aware energy saving approach and show significant improvement over state-of-the art techniques. To design an energy-efficient and low-resource consuming security solution for IoE systems, we propose a Physically Unclonable Function based security scheme that exploits variations of physical sensor characteristics through a prototype printed circuit board design and challengeresponse pair generation using the quadratic residue property. Through simulations and measurements, we show that our design scheme is better in terms of energy and computation requirements and provides a two-fold secure data transfer. Finally, we apply our solutions to a home energy management system and find an optimal model to save energy in a broad IoE system application.

Text

2019-01-10

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/68225

Electrical and Computer Engineering

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/