A5073250151- Energy Efficient Wireless Sensor Networks
- UAV Applications and Optimization
- Software-Defined Networks and 5G
- Energy Harvesting in Wireless Networks
- Robotic Path Planning Algorithms
- Metaheuristic Optimization Algorithms Research
- Indoor and Outdoor Localization Technologies
- Opportunistic and Delay-Tolerant Networks
- IoT and Edge/Fog Computing
- Advanced Multi-Objective Optimization Algorithms
- Wireless Power Transfer Systems
- IoT Networks and Protocols
- Advanced Data and IoT Technologies
- Mobile Crowdsensing and Crowdsourcing
- Mobile Ad Hoc Networks
- Wireless Networks and Protocols
- Power Line Communications and Noise
- Advanced Image and Video Retrieval Techniques
- Evolutionary Algorithms and Applications
- Advanced Optical Network Technologies
- Vehicular Ad Hoc Networks (VANETs)
- Video Surveillance and Tracking Methods
University of Electronic Science and Technology of China
2022-2025
Shenyang Aerospace University
2019-2022
Drones can be used for many assistance roles in complex communication scenarios and play as the aerial relays to support terrestrial communications. Although a great deal of emphasis has been placed on drone-assisted networks, existing work focuses routing protocols without fully exploiting drones superiority flexibility. To fill this gap, paper proposes collaborative scheme multiple assist urban vehicular ad-hoc networks (VANETs). In scheme, are distributed regarding predicted traffic...
Benefiting from the large-scale commercial use of 5G, smart campuses have attracted increasing research attention in recent years and are expected to revolutionize traditional campus activities. However, there some obstacles that hinder practical deployment MEC (multi-access edge computing). First, information infrastructures on cannot support latency-sensitive computing-intensive applications, such as AR/VR, live interactive lectures digital twin experiments. In addition, mixture old new...
Mobile CrowdSensing (MCS) is an emerging paradigm that employs massive mobile devices (MDs) to complete sensing tasks cooperatively. To provide ubiquitous MCS services, Unmanned Aerial Vehicle (UAV), featured by high agility and flexibility, becomes increasingly attractive as a powerful assistant for collect data in hard-to-reach infrastructure-restrained areas. Focusing on urban scenarios where tremendous amount of needs be uploaded devices, we propose Three-Dimensional Multi-UAV assisted...
The recent breakthrough in Wireless Power Transfer (WPT) provides a promising way to prolong network lifetime by employing charging vehicle replenish energy. Data transmissions from nodes typically happen response physical sensory events, leading time-varying energy consumption. To improve efficiency, the existing schemes collect information data-gathering or data collection protocol. However, duty cycle networks, these either incur extra vehicles high delay. solve this problem, we propose...
In recent years, routing algorithms have attracted tremendous research attentions in Flying Ad hoc Networks (FANETs) order to provide efficient networking fulfill the demand of Intelligent Transport System (ITS). Due lack a global network information FANETs, existing still many issues finding optimal next-hop node, suffering low packet delivery rate and high delay. With inclusion Flying-Software Defined Network (F-SDN), providing has eased forwarding data for Unmanned Aerial Vehicles (UAVs)....
In an Internet-of-Things system supported by Internet Protocol version 6 (IPv6), the Routing for Low-Power and Lossy Networks (RPL) presents extensive applications in various network scenarios. these novel scenarios characterized access of massive devices, path recovery, which reconstructs complete packet transmission, plays a vital role measurement, topology inference, information security. This paper proposes Lightweight Path recovery algorithm (LiPa) multi-hop point-to-point...
In global optimization, Nature-Inspired Computing (NIC) has attracted increasing attention in recent years. However, a common predicament for most optimization algorithms is the poor tradeoff between exploration and local exploitation, which results premature convergence. Moreover, complex mechanism of makes them inconvenient to use actual users, who are not specialists computational intelligence (CI). To handle these defects, this paper proposes succinct high-performance nature-inspired...