An effective approach for energy conservation in wireless sensor networks is scheduling sleep intervals extraneous nodes, while the remaining nodes stay active to provide continuous service. For network operate successfully, must maintain both sensing coverage and connectivity. Furthermore, be able configure itself any feasible degrees of connectivity order support different applications environments with diverse requirements. This paper presents design analysis novel protocols that can...

An effective approach for energy conservation in wireless sensor networks is scheduling sleep intervals extraneous nodes while the remaining stay active to provide continuous service. For network operate successfully, must maintain both sensing coverage and connectivity. Furthermore, be able configure itself any feasible degree of connectivity order support different applications environments with diverse requirements. This article presents design analysis novel protocols that can...

Wireless rechargeable sensor networks (WRSNs) have emerged as an alternative to solving the challenges of size and operation time posed by traditional battery-powered systems. In this paper, we study a WRSN built from industrial wireless identification sensing platform (WISP) commercial off-the-shelf RFID readers. The paper-thin WISP tags serve sensors can harvest energy RF signals transmitted This kind WRSNs is highly desirable for indoor activity recognition gaining attention in research...

Many wireless sensor network applications must resolve the inherent conflict between energy efficient communication and need to achieve desired quality of service such as end-to-end delay. To address this challenge, we propose Real-time Power-Aware Routing (RPAR) protocol, which achieves application-specified delays at low cost by dynamically adapting transmission power routing decisions. RPAR features a power-aware forwarding policy an neighborhood manager that are optimized for...

Recent research shows that significant energy saving can be achieved in wireless sensor networks with a mobile base station collects data from nodes via short-range communications. However, major performance bottleneck of such WSNs is the significantly increased latency collection due to low movement speed stations. To address this issue, we propose rendezvous-based approach which subset serve as rendezvous points buffer and aggregate originated sources transfer when it arrives. This...

Recent years have witnessed the increasing adoption of ZigBee technology for performance-sensitive applications such as wireless patient monitoring in hospitals. However, operating unlicensed ISM bands, devices often yield unpredictable throughput and packet delivery ratio due to interference from ever WiFi hotspots 2.4 GHz band. Our empirical results show that, although traffic contains abundant white space, existing coexistence mechanisms CSMA are surprisingly inadequate exploiting it. In...

The quality of sleep is an important factor in maintaining a healthy life style. To date, technology has not enabled personalized, in-place monitoring and analysis. Current systems are often difficult to use hence limited clinics, or invasive users, e.g., requiring users wear device during sleep. This paper presents iSleep -- practical system monitor individual's using off-the-shelf smartphone. uses the built-in microphone smartphone detect events that closely related quality, including body...

Federated Learning (FL) has recently received significant interests thanks to its capability of protecting data privacy. However, existing FL paradigms yield unsatisfactory performance for a wide class human activity recognition (HAR) applications since they are oblivious the intrinsic relationship between different users. We propose ClusterFL, similarity-aware federated learning system that can provide high model accuracy and low communication overhead HAR applications. ClusterFL features...

Recent research shows that significant energy saving can be achieved in wireless sensor networks by using mobile elements (MEs) capable of carrying data mechanically. However, the low movement speed MEs hinders their use data-intensive sensing applications with temporal constraints. To address this issue, we propose a rendezvous-based approach which subset nodes serve as rendezvous points (RPs) buffer originated from sources and transfer to when they arrive. RPs enable collect large volume...

This paper presents COBRA - a visible light communication (VLC) system for off-the-shelf smartphones. encodes information into specially designed 2D color barcodes and streams them between screen camera of Due to the directionality short range light, can preserve user privacy security in many near field scenarios such as opportunistic data exchange We develop new barcode that is optimized streaming small-size low-speed adapts size layout code blocks streamed deal with significant image blur...

WiFi networks have enjoyed an unprecedent penetration rate in recent years. However, due to the limited coverage, existing infrastructure only provides intermittent connectivity for mobile users. Once leaving current network clients must actively discover new access points (APs), which wastes precious energy of devices. Although several solutions been proposed address this issue, they either require significant modifications infrastructures or rely on context information that is not...

The vast array of small wireless sensors is a boon to body sensor network applications, especially in the context awareness and activity recognition arena. However, most deployments applications are challenged provide personal control practical functionality for everyday use. We argue that mobile devices must meet several goals order solution: user friendly hardware software, accurate efficient classification, reduced reliance on ground truth. To these challenges, we present PBN: Practical...

Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. An important performance measure of is sensing coverage that characterizes how well a field monitored by network. Although advanced collaborative signal processing algorithms adopted many existing WSNs, most previous analytical studies on are conducted based overly simplistic models (e.g., the disc model) do not capture stochastic nature...

Barrier coverage is a critical issue in wireless sensor networks for various battlefield and homeland security applications. The goal to effectively detect intruders that attempt penetrate the region of interest. A barrier formed by connected cluster across entire deployed region, acting as "trip wire" any crossing intruders. In this paper we study how efficiently improve using mobile sensors with limited mobility. After initial deployment, can move desired locations connect other order...

Infrastructure-assisted autonomous driving is an emerging paradigm that expects to significantly improve the safety of vehicles. The key enabling technology for this vision fuse LiDAR results from roadside infrastructure and vehicle vehicle's perception in real time. In work, we propose VIPS, a novel lightweight system can achieve decimeter-level real-time (up 100 ms) fusion between vehicles infrastructure. idea VIPS exploit highly efficient matching graph structures encode objects' lean...

Federated Learning (FL) has recently received significant interest, thanks to its capability of protecting data privacy. However, existing FL paradigms yield unsatisfactory performance for a wide class human activity recognition (HAR) applications, since they are oblivious the intrinsic relationship between different users. We propose ClusterFL, clustering-based federated learning system that can provide high model accuracy and low communication overhead HAR applications. ClusterFL features...

Human activity recognition (HAR) is a key enabling technology for wide range of emerging applications. Although multimodal sensing systems are essential capturing complex and dynamic human activities in real-world settings, they bring several new challenges including limited labeled data. In this paper, we propose Cosmo, system contrastive fusion learning with small data HAR Cosmo features novel two-stage training strategy that leverages both unlabeled on the cloud edge. By integrating...

Greedy geographic routing is attractive in wireless sensor networks due to its efficiency and scalability. However, greedy may incur long paths or even fail voids on random network topologies. We study an important class of that provide sensing coverage over a area (e.g., surveillance object tracking systems). Our geometric analysis simulation results demonstrate existing algorithms can successfully find short based local states sensing-covered networks. In particular, we derive theoretical...

Recent research shows that significant energy saving can be achieved in mobility-enabled wireless sensor networks (WSNs) visit nodes and collect data from them via short-range communications. However, a major performance bottleneck of such WSNs is the significantly increased latency collection due to low movement speed mobile base stations. To address this issue, we propose rendezvous-based approach which subset serve as rendezvous points buffer aggregate originated sources transfer station...

Wireless rechargeable sensor networks (WRSNs) have emerged as an alternative to solving the challenges of size and operation time posed by traditional battery-powered systems. In this paper, we study a WRSN built from industrial wireless identification sensing platform (WISP) commercial off-the-shelf RFID readers. The paper-thin WISP tags serve sensors can harvest energy RF signals transmitted This kind WRSNs is highly desirable for indoor activity recognition, gaining attention in research...

This paper presents C-MAC, a new MAC protocol designed to achieve high-throughput bulk communication for data-intensive sensing applications. C-MAC exploits concurrent wireless channel access based on empirical power control and physical interference models. Nodes running estimate the level of signal-to-interference-plus-noise-ratio (SINR) model adjust transmission accordingly access. employs block-based mode that not only amortizes overhead assessment, but also improves probability multiple...

Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. An important performance measure of is sensing coverage that characterizes how well a field monitored by network. Although advanced collaborative signal processing algorithms adopted many existing WSNs, most previous analytical studies on are conducted based overly simplistic models (e.g., the disc model) do not capture stochastic nature...

In wireless sensor networks (WSNs), one major challenge is how to prolong the network lifetime while maintaining a certain data collection rate for resource-limited static sensors. To achieve this goal, many mobility-assisted (MADC) schemes have been proposed in literature. However, there lack of systematic analysis on behaviors MADC models terms both throughput capacity, which defined as maximal rate, and lifetime, will be associated with specific rate. paper, we address issue large-scale...

2D barcodes have enjoyed a significant penetration rate in mobile applications. This is largely due to the extremely low barrier adoption-almost every camera-enabled smartphone can scan barcodes. As an alternative NFC technology, been increasingly used for security-sensitive applications including payments and personal identification. However, security of barcode-based communication has not systematically studied. Due visual nature, are subject eavesdropping when they displayed on screens....

Deep learning has been increasingly applied to improve human activity recognition (HAR) accuracy and reduce the efforts of handcrafted feature extractions. Federated Learning (FL) is an emerging paradigm that enables collaborative a global model without exposing users' raw data. However, existing FL approaches yield unsatisfactory HAR performance as they fail dynamically aggregate models according statistical diversity In this paper, we propose FedDL, novel federated system for can capture...