Grant: Discovery Grants Program - Individual
Carleton University
$46,000.00
Enabling Low-Power Long-Range Backscatter Communication Networks
FY 2022-23
Summary
The proliferation of connected and embedded devices has played a critical role in the development of the next-generation Internet of Things (IoT) and, consequently, the diffusion of low power devices. The sustainability of such networks entails energy-aware devices that are capable of self-sustainable operations by harvesting and recycling energy from various sources. Accordingly, backscatter communication (BackCom), in which a backscatter transmitter sends data to a destination by backscattering ambient signals, e.g., Wi-Fi signals, has recently emerged as a promising key technology for the post-5G era. Due to its low power consumption, BackCom is envisioned as a strong candidate for the generation of battery-free IoT, massive machine-type communication, and device-to-device communications. Nonetheless, BackCom systems still suffer from several drawbacks, including low data rate, short-range communications, and dependence on the dynamics of ambient signals. In this research, we envisage the integration of long range (LoRa), which is one of the prominent low power wide area networks (LPWAN) technologies, wireless-powered networks (WPN), and BackCom in a single network as a new paradigm for addressing some of the challenges above. However, these technologies are not optimized and/or designed for large-scale wireless networks and a massive number of IoT devices. Also, such systems are different from human-centric communications, with diverse and unique traffic characteristics as well as Quality-of-Service (QoS) requirements, which require the development of efficient physical (PHY)-layer and media access control (MAC) schemes to prevent access congestions. The proposed research will realize the vision of battery-free IoT devices and provides non-incremental advances in backscatter communications and RF energy harvesting. This will be achieved by designing physical/MAC protocols that can support a large number of IoT devices with distinct QoS requirements, smart power management schemes, and ultra-low power transceiver architectures. This novel research will be highly beneficial to those in the scientific community, industry, and standardization bodies who are at the cutting edge of wireless systems, and IoT. Most importantly, the proposed research will train highly qualified personnel, who will pioneer rather than trail international initiatives in the future of IoT.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2022-05230
Name nom
Muhaidat, Sami
Department département
Systems and Computer Engineering - Systems and Computer Engineering
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
46000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Installment
inst:1
Partie
1
Nb partie
5
Application title
Enabling Low-Power Long-Range Backscatter Communication Networks
Application summary
The proliferation of connected and embedded devices has played a critical role in the development of the next-generation Internet of Things (IoT) and, consequently, the diffusion of low power devices. The sustainability of such networks entails energy-aware devices that are capable of self-sustainable operations by harvesting and recycling energy from various sources. Accordingly, backscatter communication (BackCom), in which a backscatter transmitter sends data to a destination by backscattering ambient signals, e.g., Wi-Fi signals, has recently emerged as a promising key technology for the post-5G era. Due to its low power consumption, BackCom is envisioned as a strong candidate for the generation of battery-free IoT, massive machine-type communication, and device-to-device communications. Nonetheless, BackCom systems still suffer from several drawbacks, including low data rate, short-range communications, and dependence on the dynamics of ambient signals. In this research, we envisage the integration of long range (LoRa), which is one of the prominent low power wide area networks (LPWAN) technologies, wireless-powered networks (WPN), and BackCom in a single network as a new paradigm for addressing some of the challenges above. However, these technologies are not optimized and/or designed for large-scale wireless networks and a massive number of IoT devices. Also, such systems are different from human-centric communications, with diverse and unique traffic characteristics as well as Quality-of-Service (QoS) requirements, which require the development of efficient physical (PHY)-layer and media access control (MAC) schemes to prevent access congestions. The proposed research will realize the vision of battery-free IoT devices and provides non-incremental advances in backscatter communications and RF energy harvesting. This will be achieved by designing physical/MAC protocols that can support a large number of IoT devices with distinct QoS requirements, smart power management schemes, and ultra-low power transceiver architectures. This novel research will be highly beneficial to those in the scientific community, industry, and standardization bodies who are at the cutting edge of wireless systems, and IoT. Most importantly, the proposed research will train highly qualified personnel, who will pioneer rather than trail international initiatives in the future of IoT.