Although Maxwell discovered the physical laws of electromagnetic waves 160 years ago, how to precisely model propagation an RF signal in electrically large and complex environment remains a long-standing problem. The difficulty is interactions between obstacles (e.g., reflection, diffraction, etc.). Inspired by great success using neural network describe optical field computer vision, we propose radio-frequency radiance field, NeRF2, which represents continuous volumetric scene function that...

An ultrasonic Positioning System (UPS) has outperformed RF-based systems in terms of its accuracy for years. However, few the developed solutions have been deployed practice to satisfy localization demand today's smart devices, which lack sensors and were considered as being "deaf'' ultrasound. A recent finding demonstrates that ultrasound may be audible devices under certain conditions due their microphone's nonlinearity. Inspired by this insight, work revisits positioning technique builds...

Modelling the movement uncertainty of crowdsourced human trajectories in complex urban areas is useful for various mobility analytics and applications. However, existing modelling approaches only consider largest distance or speed, fixed sampling measurement errors, resulting limited accuracy prediction. To fill this gap, paper presents a Bi-directional Long Short-Term Memory (Bi-LSTM) assisted framework under environments. The proposed adaptively integrates pedestrian motion detection...

Indoor positioning in environments where GPS cannot be used is a fundamental technology for robot navigation and human-robot interaction. However, existing vision-based localization systems work low-visibility environments, wireless or acoustic require specific transceivers, making them expensive power-intensive - particularly challenging microrobots. This paper proposes new metasurface-assisted ultrasound system. The key idea to use low-cost passive metasurface transfer any speaker into...

Recent advances in Cross-Technology Communication (CTC) have improved efficient cooperation among heterogeneous wireless devices. To date, however, even the most effective CTC systems require these devices to operate same ISM band (e.g., 2.4 GHz) because of conventional wisdom that transceivers with different (fundamental) frequencies cannot communicate one another. Our work, which is called TiFi, challenges this belief by allowing a GHz WiFi receiver smartphone) identify UHF RFID tags,...

Conventional vibration sensing systems, equipped with specific sensors (e.g., accelerometer) and communication modules, are either expensive or cumbersome in deployment. In recent years, the community revisits this classic topic by taking advantage of off-the-shelf RFIDs. However, limited lower reading rate larger wavelength, current RFID based solutions can only sense low-frequency (e.g. below 100Hz) mechanical vibrations amplitude (>) 5mm). To address issue, work presents TagSound, an...

Deployment of billions Commercial Off-The-Shelf (COTS) RFID tags has drawn much the attention research community because performance gaps current systems. In particular, hash-enabled protocol (HEP) is one most thoroughly studied topics in past decade. HEPs are designed for a wide spectrum notable applications (e.g., missing detection) without need to collect all tags. assume that each tag contains hash function, such can select random but predicable time slot reply with one-bit presence...

Conventional vibration sensing systems, equipped with specific sensors (e.g., accelerometer) and communication modules, are either expensive or cumbersome to deploy. Recently research community revisits this classic topic by taking advantage of off-the-shelf RFIDs. However, limited low reading rate long wavelength, current RFID based solutions can only sense low-frequency below 100 Hz) mechanical vibrations larger amplitude >5 mm). To address the issue, work presents TagSound, an RFID-based...

Physical-layer identification aims to identify wireless devices during RF communication by exploiting the imperfections of their radio circuitry, i.e., hardware fingerprint. Previous work proposed several fingerprints for RFIDs (e.g., TIE, ABD, PSD, etc). However, these suffer from either unscalability or acquisition inefficiency. This presents RF-DNA, a new fingerprint composed millions Dual Natural Attributes (DNA) organized in helical structure, where pair DNA represents tag's intrinsic...

Given the increasing number of building collapse tragedies nowadays (e.g., Florida condo collapse), people gradually recognize that long-term and persistent structural health monitoring (SHM) becomes indispensable for civilian buildings. However, current SHM techniques suffer from high cost deployment difficulty caused by wired connection. Traditional wireless sensor networks fail to serve in-concrete communication because complexity battery replacement concrete Faraday cage. In this work,...

Volunteered geographic information can be used to predict regional desirability. A common challenge regarding previous works is that intuitive empirical models, which are inaccurate and bring in perceptual bias, traditionally This results from the fact hidden interactions between user online check-ins desirability have not been revealed clearly modelled yet. To solve problem, a novel neural network model 'RegNet' proposed. The check-in history input into encoder structure firstly for...

In recent years, considerable effort has been recently exerted to explore the high-precision RF-tracking systems indoors satisfy various real-world demands. However, such are tailored for a particular type of device (e.g., RFID, WSN or Wi-Fi). With rapid development Internet Things (IoT), new wireless protocols LoRa, Sigfox, and NB-IoT) have proposed accommodate different The coexistence multiple types IoT devices forces users deploy tracking in warehouse smart home where running, which...

An ultrasonic positioning system (UPS) has demonstrated its high accuracy for years. However, few of the developed solutions have been deployed in practice to satisfy localization demand today's smart devices, which lack sensors and were considered as being "deaf" ultrasound. A recent finding demonstrates that ultrasound may be audible devices under certain conditions due their microphone's nonlinearity. Inspired by this insight, work revisits technique builds a practical UPS, called UPS+,...

Recent works demonstrated that speech recognition systems or voice assistants can be manipulated by malicious commands, which are injected through various inaudible media, such as ultrasound, laser, and electromagnetic interference (EMI). In this work, we explore a new kind of attack the magnetic induced wireless charger. Essentially, show microphone components smart devices suffer from severe when they enjoying charging, due to absence effective protection against EMI at low frequencies...

Mobile payment has achieved explosive growth in recent years due to its contactless feature, which lowers the infection risk of COVID-19. In market, near-field communication (NFC) and barcodes have become de facto standard technologies for mobile payment. The NFC-based outperforms barcode-based terms security, usability, convenience. It is especially more user-friendly amblyopia group. Unfortunately, NFC functionality unavailable nearly half smartphones market nowadays shortage modules or...

With the prevalence of various sensors and smart devices in people's daily lives, numerous types information are being sensed. While using such provides critical convenient services, we gradually exposing every piece our behavior activities. Researchers aware privacy risks have been working on preserving while sensing human This survey reviews existing studies privacy-preserving activity sensing. We first introduce captured private related to then propose a taxonomy structure methods for...

Within the burgeoning 6G wireless network landscape, there is an intensified push toward achieving all-encompassing accessibility through integrated solutions spanning a multitude of domains. Notwithstanding recent advancements, conventional relay-centric communication paradigms grapple with scalability and optimal performance issues. In this paper, we introduce MeAnt ---a versatile IoT platform uniquely architected to foster seamless cross-medium by leveraging compact design...

Deployment of billions commercial off-the-shelf (COTS) radio frequency identification (RFID) tags has drawn much the attention research community because performance gaps current systems. In particular, hash-enabled protocol (HEP) is one most thoroughly studied topics in past decade. HEPs are designed for a wide spectrum notable applications (e.g., missing detection) without need to collect all tags. assume that each tag contains hash function, such can select random but predictable time...

Recent advances in Cross-Technology Communication (CTC) have improved efficient cooperation among heterogeneous wireless devices. To date, however, even the most effective CTC systems require these devices to operate same ISM band (eg. 2.4GHz) because of conventional wisdom that transceivers with different (fundamental) frequencies cannot communicate one another. In this demo, we present a practical application, called øursystem, allowing 2.4GHz WiFi receiver smartphone) identify UHF RFID...

Embedding Radio-Frequency IDentification (RFID) into everyday objects to construct ubiquitous networks has been a long-standing goal. However, major problem that hinders the attainment of this goal is current inefficient reading RFID tags. To address issue, research community introduces technique Bloom Filter (BF) systems. This work presents TagMap, practical solution acquires BFs across commercial off-the-shelf (COTS) tags in physical layer, enabling upper applications boost their...

Embedding Radio-Frequency IDentification (RFID) into everyday objects to construct ubiquitous networks has been a long-standing goal. However, major problem that hinders the attainment of this goal is current inefficient reading RFID tags. To address issue, research community introduces technique Bloom Filter (BF) systems. This work presents TagMap, practical solution acquires BFs across commercial off-the-shelf (COTS) tags in physical layer, enabling upper applications boost their...

Barcodes and NFC have become the de facto standards in field of automatic identification data capture. These been widely adopted for many applications, such as mobile payments, advertisements, social sharing, admission control, so on. Recently, considerable demands require integration these two codes (barcode code) into a single tag functional complementation. To achieve goal "one tag, codes" (OTTC), this work proposes CoilCode, which takes advantage printed electronics to fuse an coil...

Backscatter networks are becoming a promising solution for embedded sensing. In these networks, backscatter sensors deeply implanted inside objects or living beings and form deep network (DBN). The fundamental challenges in DBNs the significant attenuation of wireless signal caused by environmental materials (e.g., water bodily tissues) miniature antennas implantable sensors, which prevent existing from powering beyond superficial depths. This study presents RiCharge, turbocharging that...

Recent advances in Cross-Technology Communication (CTC) have improved efficient cooperation among heterogeneous wireless devices. To date, however, even the most effective CTC systems require these devices to operate same ISM band (e.g., 2.4GHz) because of conventional wisdom that transceivers with different (fundamental) frequencies cannot communicate one another. Our work, which is called TiFi, challenges this belief by allowing a 2.4GHz WiFi receiver smartphone) identify UHF RFID tags, at...