Yanqiu Huang

University of Twente | UT · Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)

This book series, “Chronicle of Computing,” aims to facilitate increased opportunities for cross-fertilization across the disciplines and topics in Computing. Book proposals are solicited for consideration in all disciplines of Computing and including, but not limited to, Artificial Intelligence, Computer Science & Engineering, Information Systems...

Indoor Positioning Systems (IPS) gained importance in many industrial applications. State-of-the-art solutions heavily rely on external infrastructures and are subject to potential privacy compromises, external information requirements, and assumptions, that make it unfavorable for environments demanding privacy and prolonged functionality. In cert...

WiFi, a widely used technology in IoT, provides QoS through IEEE 802.11e EDCA Access Categories (AC) which have fixed configuration with strict priorities. This makes WiFi QoS unsuitable to the rising QoS diversity, changing wireless conditions and network dynamics. QoS slicing, where network resources are divided into chinks for diverse QoS requir...

Wireless sensor networks (WSNs) is a promising solution for disaster management because of its scalability and low cost operations. However, testing the effectiveness of WSNs in real-world disasters is time consuming, costly and in some cases even infeasible. In this paper, we propose a Disaster in Network Simulations (DiNS) framework based on OMNe...

Deep learning has achieved significant advances in the fault diagnosis of rotating machinery. However, it still suffers many challenges such as various working conditions, large environmental noise interference and insufficient effective data samples. Signal time-frequency analysis and feature transfer learning methods can help solve these problems...

Drones are not fully trusted yet. Their reliance on radios and cameras for navigation raises safety and privacy concerns. These systems can fail, causing accidents, or be misused for unauthorized recordings. Considering recent regulations allowing commercial drones to operate only at night, we propose a radically new approach where drones obtain na...

Achieving energy efficiency is always a primary concern for fog architecture based Internet of Things (IoT) applications. As the IoT devices are typically of small sizes and powered by battery energy, it is essential to address the energy consumption at all levels from circuit to system. Two of the promising solutions at circuit and system levels a...

Ultra-low-power operation, as required by Internet of Things (IoT) systems, requires to address energy consumption at all levels from circuit to system. Two of the promising solutions at circuit and system levels are approximate computing and energy aware task allocation, respectively. However, the existing task allocation approaches are designed w...

Complex wireless sensor network applications as those in Internet of Things or in-network processing are pushing the requirements for energy efficiency and data processing drastically. Executing the tasks of such complex applications in a single node may lead it to die soon, since the nodes in WSNs are usually with limited and generally irreplaceab...

In recent years, multihop wireless networks have been playing a key role in many Internet of things applications. Due to the limited resources of wireless nodes, extending the network lifetime is one of the most crucial issues that needs to be concerned. This work aims to maximize the network lifetime by appropriately distributing the tasks of the...

Many event-triggered state estimation methods have been proposed to estimate the system state while reducing the communication rate of sensor nodes. Almost all of them measure the performance by how much transmission ratio can be compressed under a given reconstruction quality. This is too simplistic: the computation cost of the technique and the e...

The Internet of Things (IoT) has been recognized as the next technological revolution. It faces two challenges: how to achieve energy efficient communication for the battery constrained devices and how to connect a very large number of devices to the Internet with low latency, high efficiency and reliability. To address these problems, this work pr...

In order to reduce the communication cost of wireless sensor nodes, many methods have been proposed to reduce the transmission rate and reconstruct the signal based on incomplete information. Among them, Kalman filter (KF) based methods provide the optimal reconstruction for the monitoring of linear systems with Gaussian noise. They require sensor...

In order to enhance the performance of bearing fault diagnosis and classification, features extraction and features dimensionality reduction have become more important. The original statistical feature set was calculated from single branch reconstruction vibration signals obtained by using maximal overlap discrete wavelet packet transform (MODWPT)....

Complex wireless sensor network (WSN) applications as those in Internet-of-Things or in-network processing are pushing the requirements for energy efficiency and data processing drastically. Energy-aware task allocation becomes crucial to efficiently distribute the tasks of the applications for the nodes to extend the network lifetime. In this pape...

Wireless sensor networks (WSNs) composed of spatially distributed autonomous sensor nodes have been applied to a wide variety of applications. Due to the limited energy budget of the sensor nodes and long-term operation requirement of the network, energy efficiency is a primary concern in almost any application. Radio communication, known as one of...

Energy-aware workload distribution becomes crucial for extending the lifetime of wireless sensor networks (WSNs) in complex applications as those in Internet-of-Things or in-network DSP processing scenarios. Today static workload schedules are well understood, while dynamic schedules (i.e., with multiple partitions) remain unexplored. This paper mo...

One of the most energy-intensive processes in wireless sensor networks (WSNs) is radio communication, which can be minimized with data compression techniques by using the inherent existence of spatial and temporal correlations in the physical phenomena. Exploiting the two correlation types with low algorithmic overhead in a distributed scenario is...

One of the most energy-intensive processes in wireless sensor networks (WSNs) is radio communication, which can be minimized with data compression techniques by using the inherent existence of spatial and temporal correlations in the physical phenomena. Exploiting the two correlation types with low algorithmic overhead in a distributed scenario is...

Data compression using temporal and/or spatial correlations has been extensively studied to prolong the lifetime of wireless sensor networks (WSNs). In order to maximize the gain of these techniques, this work proposes an off-line altruistic compression-scheduling (ACS) scheme for cluster-based WSNs. It schedules when and how (i.e. without compress...

Wireless Sensor Networks (WSNs) have gained a lot of attention from the research and industrial communities. In almost any application involving WSNs, energy efficiency is a primary concern. As the complexity of the motes and the applications increases (e.g., in-network DSP processing, internet-of-the-things), the energy of communication and comput...

According to characteristics of hydraulic support under coal mine working face, a linear-hierarchy of wireless sensor network (WSN) is proposed including its topology generation algorithm as well as how to maintain the network topology in the event of topology changes. Establishing bottom infrastructures of WSN, cluster headers will be selected to...