The vast demand for diverse applications raises new networking challenges, which have encouraged the development of a paradigm Internet Things (IoT), e.g., LoRa. LoRa is proprietary spread spectrum modulation technique that provides solution long-range and ultra-low power-consumption transmission. Due to promising prospects LoRa, significant effort has been made on this compelling technology since its emergence. In article, we provide comprehensive survey from systematic perspective:...

ECG classification is a key technology in intelligent electrocardiogram (ECG) monitoring. In the past, traditional machine learning methods such as support vector (SVM) and K-nearest neighbor (KNN) have been used for classification, but with limited accuracy. Recently, end-to-end neural network has shows high However, large computational complexity including number of parameters operations. Although dedicated hardware field-programmable gate array (FPGA) application-specific integrated...

LoRa has emerged as one of the promising long-range and low-power wireless communication technologies for Internet Things (IoT). With massive deployment networks, ability to perform Firmware Update Over-The-Air (FUOTA) is becoming a necessity unattended devices. Alliance recently dedicated specification FUOTA, but existing solution several drawbacks, such low energy efficiency, poor transmission reliability, biased multicast grouping. In this paper, we propose novel energy-efficient,...

Recent years have witnessed the remarkable growth of Internet Vehicles (IoV). Due to high dynamics and ad-hoc nature IoV communication, lack effective secret key establishment in remains a security bottleneck. Physical layer generation has emerged as promising technology establish pair cryptographic keys lightweight information-theoretic secure way. However, prior works mainly focus on legacy communication technologies such Wi-Fi, ZigBee, 5G which can only achieve short range communications....

This paper presents EMGSense, a low-effort self-supervised domain adaptation framework for sensing applications based on Electromyography (EMG). EMGSense addresses one of the fundamental challenges in EMG cross-user sensing—the significant performance degradation caused by time-varying biological heterogeneity—in (data-efficient and label-free) manner. To alleviate burden data collection avoid labor-intensive annotation, we propose two EMG-specific augmentation methods to simulate signals...

Physical-layer key generation is promising in establishing a pair of cryptographic keys for emerging LoRa networks. However, existing systems may perform poorly since the channel reciprocity critically impaired due to low data rate and long range To bridge this gap, paper proposes novel system networks, named ChirpKey. We reveal that underlying limitations are coarse-grained measurement inefficient quantization process. enable fine-grained information, we propose LoRa-specific method...

Radio Frequency (RF)-based gait recognition has emerged as a promising technology to authenticate individuals in pervasive and unobtrusive way. However, fundamental challenge remains collecting extensive data of the same user environment. To address this challenge, paper introduces XGait, cross-modal framework that does not require prior deployment RF devices or explicit collection. The key idea is leverage signals Inertial Measurement Unit (IMU), which widely available modern mobile...

Handwritten signature verification has become one of the most important document authentication methods that are widely used in financial, legal, and administrative sectors. Compared with offline based on static images, online handwritten more reliable because temporary dynamic information (e.g., signing velocity, writing force, stroke order) alleviates risk being forged. However, existing solutions reliant specific devices customized pens or pads) require extensive data collection during...

The widespread deployment of unattended LoRa networks poses a growing need to perform Firmware Updates Over-The-Air (FUOTA). However, the FUOTA specifications dedicated by Alliance fall short several deficiencies with respect energy efficiency, transmission reliability, multicast fairness, and security. This article proposes FLoRa+ , energy-efficient, reliable, beamforming-assisted, secure for networks, which is featured techniques, including delta scripting, channel coding, beamforming,...

Solar cell-based gesture recognition is emerging as an innovative approach to facilitate seamless human-machine interactions. However, the primary challenge scarcity of datasets for solar-based recognition. To address this issue, we introduce XSolar, cross-modal framework that utilizes Inertial Measurement Unit (IMU) data generate equivalent solar photocurrent signals corresponding gestures. The core concept harness readily available IMU from modern wearable devices create response signals....

In recent years, the deployment of unmanned vehicle delivery services has increased unprecedentedly, leading to a need for enhanced security due risk leaving high-value packages an unauthorized third party during pickup or delivery. Existing authentication methods such as QR code and one-time password are inadequate, they susceptible attacks provide only one-way authentication. This paper, first time our best knowledge, proposes Wave-for-Safe (W4S) --- novel mutual system that utilizes...

The outbreak of COVID-19 has greatly changed everyone's lifestyle all over the world. One best ways to prevent spread infections is by washing hands properly. Although a number hand hygiene monitoring systems have been proposed, they either cannot achieve high accuracy in practice or work only limited environments such as hospitals. Therefore, ubiquitous, energy-efficient and highly accurate system still lacking. In this paper, we present <italic...

The incorporation of Large Language Models (LLMs) into smart transportation systems has paved the way for improving data management and operational efficiency. This study introduces TransCompressor, a novel framework that leverages LLMs efficient compression decompression multimodal sensor data. TransCompressor undergone thorough evaluation with diverse types, including barometer, speed, altitude measurements, across various modes like buses, taxis, Mass Transit Railways (MTRs)....

The rapid growth of the Internet Vehicles (IoV) has highlighted need for effective secret key establishment, as dynamic and ad-hoc nature IoV communication remains a security challenge. Physical layer generation offers lightweight, information-theoretic secure solution. However, existing research primarily focuses on short-range technologies like Wi-Fi, ZigBee, 5G. Long-range (LoRa) technology, featuring long-range, low power, data rate, introduces new challenges in long-range scenarios. In...

Embedded IoT system development is crucial for enabling seamless connectivity and functionality across a wide range of applications. However, such complex process requires cross-domain knowledge hardware software hence often necessitates direct developer involvement, making it labor-intensive, time-consuming, error-prone. To address this challenge, paper introduces EmbedGenius, the first fully automated platform general-purpose embedded systems. The key idea to leverage reasoning ability...

Millimeter-wave (mmWave) radar-based gesture recognition is gaining attention as a key technology to enable intuitive human-machine interaction. Nevertheless, the significant challenge lies in obtaining large-scale, high-quality mmWave datasets. To tackle this problem, we present iRadar, novel cross-modal framework that employs Inertial Measurement Unit (IMU) data synthesize radar signals generated by corresponding gestures. The idea exploit IMU signals, which are commonly available...