- Mobile Ad Hoc Networks
- Energy Efficient Wireless Sensor Networks
- Opportunistic and Delay-Tolerant Networks
- Wireless Networks and Protocols
- Energy Harvesting in Wireless Networks
- Distributed Control Multi-Agent Systems
- Power Systems Fault Detection
- Electrical Fault Detection and Protection
- Neural Networks Stability and Synchronization
- Multilevel Inverters and Converters
- Cryptographic Implementations and Security
- Advanced Multi-Objective Optimization Algorithms
- Semantic Web and Ontologies
- Satellite Communication Systems
- Induction Heating and Inverter Technology
- Radiomics and Machine Learning in Medical Imaging
- Space Satellite Systems and Control
- UAV Applications and Optimization
- Power Systems and Technologies
- Magnetic Field Sensors Techniques
- Age of Information Optimization
- Graph Theory and Algorithms
- Advanced Authentication Protocols Security
- Adaptive Control of Nonlinear Systems
- Engineering and Test Systems
Northwestern Polytechnical University
2023-2024
Shanghai Electric (China)
2024
Rutgers Cancer Institute of New Jersey
2024
State Grid Corporation of China (China)
2024
Rutgers, The State University of New Jersey
2024
Beijing Jingshida Electromechanical Equipment Research Institute
2024
Fuzhou University
2023
China Southern Power Grid (China)
2023
China Academy of Railway Sciences
2023
Energy Foundation
2023
Wireless ad hoc networks have played an increasingly important role in a wide range of applications. A key challenge such is to achieve maximum lifetime for battery-powered mobile devices with dynamic energy-efficient algorithms. Recent studies battery technology revealed that the behavior discharging more complex than we used know. Battery-powered might waste huge amount energy if their not carefully scheduled and budgeted. In this paper, introduce novel model batteries study effect on...
This paper studies the problem of time-varying formation control with finite-time prescribed performance for non-strict feedback second-order multi-agent systems unmeasured states and unknown nonlinearities. To eliminate nonlinearities, neural networks are applied to approximate inherent dynamics system. In addition, due limitations actual working conditions, each follower agent can only obtain locally measurable partial state information leader agent. address this problem, a network...
Introduction Young cervical cancer patients who require ovarian transposition usually have their ovaries moved away from the pelvic radiotherapy (RT) field before radiotherapy. The dose of during is closely related to location ovaries. To protect function and avoid exceeding limits, a safe transposed ovary must be determined prior surgery. Methods For this purpose, we input patient's preoperative CT into neural network model predict distribution. Surgeons were able quickly locate low-dose...
As an extremely challenging spatial-temporal sequence prediction task, satellite image has various and significant applications in real-world scenarios. Although lots of deep learning models are developed for prediction, the methods still deliver unsatisfactory performance terms keeping consistency, which leads to inaccurate blurry predictions. To maintain consistency achieve high-quality we propose a novel effective network (STCNet). In STCNet, multi-level motion memory-based predictor is...
InSAR (Interferometric Synthetic Aperture Radar) is widely recognized as a crucial remote sensing tool for monitoring various geological disasters because it provides all-day and all-weather monitoring. Nevertheless, the current interpretation methods heavily depend on interpreter’s experience, which hinders efficiency fails to meet requirements timely detection of geologic hazards. Furthermore, results obtained through processing carry inherent noise interference, further complicating...
Wireless mesh networks recently emerge as a flexible, low- cost and multi-functional networking platform with wired infrastructure connected to the Internet. A critical issue in is maintain long time network coverage. Recent study reveals that batteries tend discharge more power than needed, reimburse over-discharged later if they have sufficiently recovery time. To take advantage of battery property, this paper we propose cross-layer client driven aware (CDBA) scheme efficiently schedule...
A critical issue in wireless sensor networks is to construct energy efficient virtual backbones for routing, broadcasting and data propagating. The minimum connected dominating set (MCDS) has been proposed as a backbone reduce power dissipation prolong network lifetime. However, we find that an MCDS cannot guarantee maximum lifetime it does not consider the battery discharging behavior. Recent study technology reveals of linear. Batteries tend discharge more than needed, reimburse...
In this paper, we present a new position-based routing algorithm for mobile wireless networks, such as ad hoc networks and sensor networks. The proposed minimises the effect of inaccurate location information on routing, which is caused by periodical updates node in network. achieves low communication complexity O(√n), compared to other existing algorithms with O(n) complexity, where n number nodes addition, unlike some algorithms, insensitive mobility consistently performs well...
Wireless MIMO (multiple input multiple output) mesh networks recently emerge as a flexible, low-cost and multi-functional networking platform with wired infrastructure connected to the Internet. Mesh routers are equipped radio transceivers that can work simultaneously. This feature greatly improves data throughput of routers. A critical issue in is maintain network coverage routing for long lifetime high energy efficiency. As more outdoor applications require long-lasting, efficient...
It is a challenge area in the field of ad hoc networks to support prioritized routing for time sensitive applications, such as multimedia communications, IP telephony and interactive games. However existing protocols did not consider special battery discharging behavior wireless devices. The limited power supply on devices becomes bottleneck networks. Recent study technology reveals that more complex than we used think. Battery powered might waste huge amount energy if do carefully schedule...
Wireless mesh networks recently emerge as a flexible, low-cost and multipurpose networking platform with wired infrastructure connected to the Internet. A critical issue in is maintain network activities for long lifetime high energy efficiency. As more outdoor applications require long-lasting, efficient continuously-working batterypowered routers, it important optimize performance of from battery-aware point view. Recent study battery technology reveals that discharging nonlinear....
this paper, we introduce a peer-to-peer sensor network (P2PWSNDAS) architecture with pipelined time division scheduling for data acquisition from an ad hoc wireless (WSN). P2PWSNDAS takes service-oriented, data-centric view of the deployed WSN. The sensors that constitute WSN measure physical attributes environment they are in such as temperature, pressure, vibration, toxic chemical, biological agents, etc. In our architecture, assume entire can be divided into sets 'sensor-clusters'. Each...
A critical issue in battery-powered sensor networks is to construct energy efficient virtual backbones for network routing. Recent study battery technology reveals that batteries tend discharge more power than needed and reimburse the over-discharged if they are recovered. In this paper we first provide a mathematical model suitable implementation networks. We then introduce concept of battery-aware connected dominating set (BACDS) show general minimum BACDS (MBACDS) can achieve longer...
Wireless mesh networks emerge as a flexible, low-cost and multipurpose networking platform with wired infrastructure connected to the Internet. A critical issue in is maintain network activities for long lifetime high energy efficiency. As more outdoor applications require long-lasting, efficient continuously-working battery-powered routers, it important optimize performance of from battery-aware point view. Study battery technology reveals that discharging nonlinear. Batteries tend...
With the rapid development of technologies such as wireless communications and Internet Things (IoT), proliferation IoT devices will intensify competition for spectrum resources. The introduction cognitive radio technology in can minimize shortage However, open environment may involve free-riding problems. Due to selfishness participants, there are usually a large number free-riders system who opportunistically gain more rewards by stealing sensing results from other participants accessing...
Under the trend of increasingly mature wind power generation technology in China, capacity turbines is getting larger and larger. In this paper, we will study cost composition from perspective whole life cycle to help promote reduction efficiency; at same time, by calculating LCOE evaluate economics farms, taking into account impact wake flow between turbines, project, propose a genetic algorithm based on optimal design unit scheduling scheme farms.
This research investigates the semi-global practical finite-time prescribed performance consensus control issue for a class of second-order multi-agent systems with unknown nonlinear functions. Unlike previous set by function, we give constraining terminal sliding manifold in function. In addition, an adaptive neural network scheme is designed, which simplifies controller and avoids chattering existing traditional mode control. Eventually, novel strategy ensures that all system variables are...
In this paper, a contention-free polling protocol and load-balancing algorithm, for two-layered heterogeneous sensor networks were proposed, based on the energy consumption features of physical layer, MAC layer network layer. By introducing some powerful nodes, sensors can be organized into clusters. Each node works as local data sink gathers from in cluster. The power model IEEE 802.15.4-based transceivers was first analyzed. Based such low-power, low-rate transceivers, inner-cluster...