The emerging real-time and computation-intensive services driven by the Internet of Things, augmented reality, automatic driving, so on, have tight quality service experience requirements, which can hardly be supported conventional cloud computing. Fog computing, migrates features computing to network edge, guarantees low latency for location-aware services. However, due locality feature fog maintaining continuity when mobile users travel across different access networks has become a...

ROS (Robot Operating System) is currently the most popular robotic software development framework. Robotic in safe-critical domain are usually subject to hard real-time constraints, so designers must formally model and analyze their timing behaviors guarantee that constraints always honored at runtime. This paper studies scheduling analysis of processing chains ROS2, second-generation with a major consideration capability. First, we study response time on ROS2 executors. We show only...

Pedestrian detection is a crucial task in intelligent transportation systems, which can be applied autonomous vehicles and traffic scene video surveillance systems. The past few years have witnessed much progress on the research of pedestrian methods, especially through successful use deep learning based techniques. However, occlusion large scale variation remain challenging issues for detection. In this work, we propose Part-Aware Multi-Scale Fully Convolutional Network (PAMS-FCN) to tackle...

With the fast growth of civil drones, their security problems meet significant challenges. A commercial drone may be hijacked by a GPS-spoofing attack for illegal activities, such as terrorist attacks. The target this article is to develop technique that only uses onboard gyroscopes determine whether has been hijacked. Ideally, GPS data and angular velocities measured can used estimate acceleration drone, which further compared with measurement accelerometer detect However, detection results...

Time-Sensitive Networking (TSN) has become the most popular technique in modern safety-critical Automotive and Industrial Automation Networks by providing deterministic transmission policies. However, data of TSN messages may be affected transient faults. IEEE 802.1CB, a reliability standard TSN, protects against such faults disjoint redundant routes for each stream. unique assumption present new challenge, i.e., an inadequate number that negatively impact stream scheduling. This paper...

As communication systems transition from symbol transmission to conveying meaningful information, sixth-generation (6G) networks emphasize semantic communication. This approach prioritizes high-level improving robustness and reducing redundancy across modalities like text, speech, images. However, traditional faces limitations, including static coding strategies, poor generalization, reliance on task-specific knowledge bases that hinder adaptability. To overcome these challenges, we propose...

Wireless sensor networks (WSNs) have been widely deployed and it is crucial to properly control the energy consumption of nodes achieve maximum WSNs' operation time (i.e., lifetime) as they are normally battery powered. In this paper, for that utilized monitor oil pipelines, we study linear placement problem with goal maximizing their lifetime. For a simple equal-distance scheme, first illustrate result based on used ideal power model can be misleading adding more improve WSN's when compared...

While much work has addressed the energy-efficient scheduling problem for uniprocessor or multiprocessor systems, little been done multicore systems. We study architecture with a fixed number of cores partitioned into clusters (or islands), on each which all operate at common frequency. develop algorithms to determine schedule real-time tasks minimize energy consumption under timing and operating frequency constraints. As technical contributions, we first show that optimal frequencies...

The fast growth of civil drones raises significant security challenges. A legitimate drone may be hijacked by GPS spoofing for illegal activities, such as terrorist attacks. target this paper is to develop techniques let detect whether they have been using onboard motion sensors (accelerometers and gyroscopes). Ideally, the linear acceleration angular velocity measured can used estimate position a drone, which compared with reported has hijacked. However, estimation very inaccurate due error...

A smart factory generates vast amounts of data that require transmission via large-scale wireless networks. Thus, the reliability and real-time performance networks are essential for industrial production. distributed scheme is suitable networks, but incapable optimizing performance. By contrast, a centralized relies on knowledge global information hindered by scalability issues. To overcome these limitations, hybrid needed. We propose hierarchical framework integrates advantages schemes...

Construction sites are dangerous due to the complex interaction of workers with equipment, building materials, vehicles, etc. As a kind protective gear, hardhats crucial for safety people on construction sites. Therefore, it is necessary administrators identify that do not wear and send out alarms them. manual inspection labor-intensive expensive, ideal handle this issue by real-time automatic detector. such, in paper, we present an end-to-end convolutional neural network solve problem...

We study the schedulability analysis problem for nonpreemptive scheduling algorithms on multiprocessors. To our best knowledge, only known work this is test condition proposed by Baruah non-preemptive EDF scheduling, which will reject a task set with arbitrarily low utilization if it contains whose execution time equal or greater than minimal relative deadline among all tasks. In paper, we firstly derive linear-time avoids mentioned above, building upon previous preemptive multiprocessor...

Real-time wireless networks (RTWNs) are fundamental to many Internet-of-Things (IoT) applications. Packet scheduling in an RTWN plays a critical role for achieving desired performance but is challenging problem especially when the large and subject unexpected disturbances from environment. Few solutions exist tackle this challenge they suffer serious limitations. This paper introduces novel distributed dynamic packet framework, D2-PaS. D2-PaS aims minimize number of dropped packets while...

As a key technology in smart healthcare monitoring systems, wireless body area networks (WBANs) can pre-embed sensors and sinks on surface or inside bodies for collecting different vital signs parameters, such as human Electrocardiograph (ECG), Electroencephalograph (EEG), Electromyogram (EMG), temperature, blood pressure, sugar, oxygen, etc. Using real-time online healthcare, patients be tracked monitored normal emergency conditions at their homes, hospital rooms, Intensive Care Units...

Heterogenerous multi-cores utilize the strength of different architectures for executing particular types workload, and usually offer higher performance energy efficiency. In this paper, we study worst-case response time (WCRT) analysis typed scheduling parallel DAG tasks on heterogeneous multi-cores, where workload each vertex in is only allowed to execute a type cores. The known WCRT bound problem grossly pessimistic suffers non-self-sustainability problem. propose two new bounds. first...

Timing correctness of hard real-time systems is guaranteed by schedulability analysis and worst-case execution time (WCET) programs. Traditional WCET mainly deals with application programs has achieved success in industry. along cannot guarantee complete consisting RTOS. tools designed for program have been applied to analyze RTOS routines several research groups, but poor estimations reported. considering both applications not fully studied. So we intend give a survey related work on By...

While much work has addressed energy minimizing problem of real-time sequential tasks, little been done for the parallel task case. In this paper, based on level-packing, we study minimization systems with discrete operation modes and under timing constraints. For tasks fixed (variable) degrees, first formulate as a 0-1 Integer Linear Program (0-1 ILP), then propose polynomial-time complexity two-step (three-step) heuristic to determine schedule frequency assignment (and degree). Our...