Receiver Selectivity Limits on Bistatic Backscatter Range

Katanbaf, Mohamad; Saffari, Ali; Smith, Joshua R.

doi:10.1109/rfid49298.2020.9244826

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…In addition to harvesting energy from the incident signal, energy could be harvested from solar energy, kinetic energy or other available ambient sources of energy. Massive IoT [30], Multi-antenna Ease of deployment High cost of reader RFID [31], Multi-tag RFID [32] Bistatic Extended IoT operation Enhanced range Interference at the receiver range [33], [34] between tag and reader Ambient Mobile edge computing [12], Low cost of Non-stability of ambient Indoor localization [35], deployment signals Distributed IoT network [36] The harvested energy is used to power a switch that can change between various states of load depending on the value of the sensed signal. Also, the switching mechanism is combined with the antenna to modulate the sensed data unto the incident carrier signal.…”

Section: A Description Of Backcom Types Of Backcom and Architecture O...mentioning

confidence: 99%

Backscatter Wireless Communications and Sensing in Green Internet of Things

Toro

Leung

2022

IEEE Trans. on Green Commun. Netw.

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Internet of Things (IoT) is a key technology for enabling ubiquitous applications that interconnect with cyberphysical systems in various environments. However, its large scale adoption is strongly impeded by the limited energy available for most IoT devices that are battery-powered, and further challenged by the growing demands to pack increasing functionalities into IoT devices while shrinking their sizes. To address these problems, researchers have developed techniques for energy harvesting, wireless power transfer, and minimizing power consumption in the sensing, communication and computation components of IoT nodes, as found in many surveys. In contrast, this paper surveys Backscatter Communication (BackCom), a recently emerged technique that enables green IoT through joint wireless communication and sensing and potentially allows IoT devices to operate without batteries. The operating principle of BackCom-based green IoT, its architecture and evolution are presented. Also state-of-the-art applications such as healthcare, agriculture, human activity recognition, transportation and mobile IoT are reviewed together with the operational and security challenges faced by these applications and potential solution techniques to address these challenges while ensuring a high energy efficiency. Lastly, some future applications of BackCombased green IoT are discussed.

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Section: A Description Of Backcom Types Of Backcom and Architecture O...mentioning

confidence: 99%

Backscatter Wireless Communications and Sensing in Green Internet of Things

Toro

Leung

2022

IEEE Trans. on Green Commun. Netw.

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“…Recent advances in ultra-low-power wireless systems have enabled battery-free image capture and even video streaming using backscatter communication [70]. In backscatter communication, the sensor node transfers its data by reflecting the high-frequency signals generated by another device instead of generating the high-frequency signal locally [71][72][73][74]. This significantly reduces the energy required for wireless communication and allows the sensor node to operate solely on the energy harvested from a small solar PV cell.…”

Section: Backscatter Communicationmentioning

confidence: 99%

WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction

Jacoby

Tan

Katanbaf

et al. 2021

JSAN

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Many regions of the world benefit from heating, ventilating, and air-conditioning (HVAC) systems to provide productive, comfortable, and healthy indoor environments, which are enabled by automatic building controls. Due to climate change, population growth, and industrialization, HVAC use is globally on the rise. Unfortunately, these systems often operate in a continuous fashion without regard to actual human presence, leading to unnecessary energy consumption. As a result, the heating, ventilation, and cooling of unoccupied building spaces makes a substantial contribution to the harmful environmental impacts associated with carbon-based electric power generation, which is important to remedy. For our modern electric power system, transitioning to low-carbon renewable energy is facilitated by integration with distributed energy resources. Automatic engagement between the grid and consumers will be necessary to enable a clean yet stable electric grid, when integrating these variable and uncertain renewable energy sources. We present the WHISPER (Wireless Home Identification and Sensing Platform for Energy Reduction) system to address the energy and power demand triggered by human presence in homes. The presented system includes a maintenance-free and privacy-preserving human occupancy detection system wherein a local wireless network of battery-free environmental, acoustic energy, and image sensors are deployed to monitor homes, record empirical data for a range of monitored modalities, and transmit it to a base station. Several machine learning algorithms are implemented at the base station to infer human presence based on the received data, harnessing a hierarchical sensor fusion algorithm. Results from the prototype system demonstrate an accuracy in human presence detection in excess of 95%; ongoing commercialization efforts suggest approximately 99% accuracy. Using machine learning, WHISPER enables various applications based on its binary occupancy prediction, allowing situation-specific controls targeted at both personalized smart home and electric grid modernization opportunities.

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“…As we discuss in this paper, therefore the placement and strength of the carrier generator have a strong impact on the performance of the tag-to-tag networks. As Katanbaf et al discuss, the sensitivity threshold also needs to be considered in bistatic backscatter systems [7] even though its impact is more profound in tag-to-tag backscatter networks.…”

Section: Is Simple Flooding Reliable?mentioning

confidence: 99%

Reliable Flooding in Dense Backscatter-based Tag-to-Tag Networks

Piumwardane

Rohner

Voigt

2021

2021 IEEE International Conference on RFID (RFID)

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RFID and backscatter allow for extremely lowpower or battery-free tags by outsourcing the generation of the radio carrier wave to an external device such as an RFID reader. Recent advances in backscatter communication enables tags to both transmit and receive standards-compliant packets with submilliwatt power consumption. The ability to receive packets makes multi-hop tag-to-tag networking possible, a task that current backscatter networks provide only for limited topologies. Tag-to-tag networks further allow for novel applications such as wireless robotic materials that inherently require dense networks of such tags. In contrast to conventional networks, the tags' communication range in such networks depends heavily on the signal strength of the carrier wave at the transmitter and the receiver. In this paper, we demonstrate for the first time on real hardware multi-hop in backscatter-based networks using standards-based protocols. We present analytical and simulation results that show that both the output power and the position of the carrier generator impact the reliability of the network. We finally demonstrate that simple flooding with a random forwarding delay is an efficient solution for transfering data in such networks.

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Receiver Selectivity Limits on Bistatic Backscatter Range

Cited by 10 publications

References 28 publications

Backscatter Wireless Communications and Sensing in Green Internet of Things

Backscatter Wireless Communications and Sensing in Green Internet of Things

WHISPER: Wireless Home Identification and Sensing Platform for Energy Reduction

Reliable Flooding in Dense Backscatter-based Tag-to-Tag Networks

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