A5043097022- Mobile Ad Hoc Networks
- Energy Efficient Wireless Sensor Networks
- Caching and Content Delivery
- Cooperative Communication and Network Coding
- Opportunistic and Delay-Tolerant Networks
- Wireless Networks and Protocols
- Energy Harvesting in Wireless Networks
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Wireless Network Optimization
- Network Traffic and Congestion Control
- Advanced MIMO Systems Optimization
- Peer-to-Peer Network Technologies
- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Satellite Communication Systems
- Cloud Computing and Resource Management
- Indoor and Outdoor Localization Technologies
- Advanced Data Storage Technologies
- Advanced Data Compression Techniques
- Privacy-Preserving Technologies in Data
- Security in Wireless Sensor Networks
- Interconnection Networks and Systems
- UAV Applications and Optimization
- Video Coding and Compression Technologies
- Internet Traffic Analysis and Secure E-voting
University of Victoria
2016-2025
Chongqing Jiaotong University
2007-2025
Ministry of Natural Resources
2025
Early Warning (United States)
2025
Merck & Co., Inc., Rahway, NJ, USA (United States)
2011-2024
Suzhou University of Science and Technology
2023-2024
Shanghai Jiao Tong University
2024
Guilin University of Electronic Technology
2023
Purple Mountain Observatory
2022
John Deere (United States)
2022
We consider a two-tiered Wireless Sensor Network (WSN) consisting of sensor clusters deployed around strategic locations and base-stations (BSs) whose are relatively flexible. Within cluster, there many small nodes (SNs) that capture, encode transmit relevant information from the designated area, is at least one application node (AN) receives raw data these SNs, creates comprehensive local-view, forwards composite bit-stream toward BS. In practice, both SN AN battery-powered...
Recently, adopting mobile energy chargers to replenish the supply of sensor nodes in wireless networks has gained increasing attention from research community. Different harvesting systems, utilization is able provide more reliable than dynamic harvested surrounding environment. While pioneering works on recharging problem mainly focus optimal offline path planning for chargers, this work, we aim lay theoretical foundation on-demand charging (DMC) problem, where individual request charger...
We consider generic two-tiered wireless sensor networks (WSNs) consisting of clusters deployed around strategic locations, and base-stations (BSs) whose locations are relatively flexible. Within a cluster, there many small nodes (SNs) that capture, encode, transmit relevant information from designated area, is at least one application node (AN) receives raw data these SNs, creates comprehensive local-view, forwards the composite bit-stream toward BS. This paper focuses on topology control...
Identifying elephant flows is very important in developing effective and efficient traffic engineering schemes. In addition, obtaining the statistics of these also useful for network operation management. On other hand, with rapid growth link speed recent years, packet sampling has become a attractive scalable means to measure flow statistics; however, it makes identifying much more difficult. Based on Bayes' theorem, this paper develops techniques schemes identify periodically sampled...
The introduction of mobile elements has created a new dimension to reduce and balance the energy consumption in wireless sensor networks. However, data collection latency may become higher due relatively slow travel speed elements. Thus, scheduling elements, i.e., how they traverse through sensing field when collect from which sensor, is ultimate importance attracted increasing attention research community. Formulated as traveling salesman problem with neighborhoods (TSPN) its NP-hardness,...
Recently, adopting mobile energy chargers to replenish the supply of sensor nodes in wireless networks has gained increasing attention from research community. The utilization provides a more reliable than systems that harvested dynamic surrounding environment. While pioneering works on recharging problem mainly focus optimal offline path planning for chargers, this work, we aim lay theoretical foundation on-demand charging problem, where individual request charger when their runs low....
In dense IEEE 802.11 networks, improving the efficiency of contention-based media access control is an important and challenging issue. Recently, IEEE802.11ah Task Group has discussed a group-synchronized distributed coordination function (GS-DCF) for densely deployed wireless networks with large number stations. By using restricted window (RAW) RAW slots, GS-DCF anticipated to improve throughput substantially, primarily due relieving channel contention. However, optimizing MAC...
Currently, one of the main enablers for network evolution is software-defined networking (SDN), where control plane decoupled from data plane. A controller, as a (logically) centralized entity in plane, Achilles' heel SDN resilience since its failure would affect proper functioning entire network. The strongly linked to controller placement problem, which deals with positioning and assignment controllers forwarding devices (i.e., switches). resilient problem needs assign more than switch...
Mobile edge computing (MEC) has been considered as a promising technology to handle computation-intensive and delay-sensitive tasks in the Internet of Things (IoT) ecosystem, such smart city tourism. However, due user mobility, servers with fixed deployment are not flexible enough time-varying hot-spot areas. In this article, novel online unmanned aerial vehicle (UAV)-mounted server dispatching scheme is proposed provide mobile-to-MEC services. UAVs dispatched appropriate hover locations by...
Recent years have witnessed many new promising technologies to power wireless sensor networks, which motivate some fundamental topics be revisited. Different from energy harvesting, generates dynamic supply, the mobile charger is able provide a stable and reliable supply for nodes and, thus, enables sustainable system operations. While previous charging protocols focus on either travel distance or delay of nodes, in this work, we propose novel synchronized (ESync) protocol, simultaneously...
Reliable and scalable wireless transmissions for Internet of Vehicles (IoV) are technically challenging. Each vehicle, from driver-assisted to automated one, will generate a flood information, up thousands times that by person. Vehicle density may change drastically over time location. Emergency messages real-time cooperative control have stringent delay constraints while infotainment applications tolerate certain degree latency. On congested road, vehicles need exchange information badly,...
Providing reliable and flexible emergency communications for the Internet of Vehicles (IoV) is challenging in post-disaster scenarios, especially when infrastructures are unavailable or seriously damaged. Under such circumstances, it highly demanded to deploy air base station (ABS) restore connectivity disaster areas. Although ABS can offer improved performance, massive access devices rising demand many emergency-related services will bring new challenges ABS-aided IoV. In this paper, we...
Landslides, the second largest geological hazard after earthquakes, result in significant loss of life and property. Extracting landslide information quickly accurately is basis disaster prevention. Fengjie County, Chongqing, China, a typical landslide-prone area Three Gorges Reservoir Area. In this study, we newly integrate Shapley Additive Explanation (SHAP) Optuna (OPT) hyperparameter tuning into four basic machine learning algorithms: Gradient Boosting Decision Tree (GBDT), Extreme...
A mesoscale model (MM5)–based regional climate (CMM5) integration driven by the Parallel Climate Model (PCM), a fully coupled atmosphere‐ocean‐land‐ice general circulation (GCM), for present (1986–1995) summer season is first compared with observations to study CMM5's downscaling skill and uncertainty over United States. The results indicate that CMM5, its finer resolution (30 km) more comprehensive physics, simulates U.S. accurately than driving PCM, especially precipitation, including mean...
One promise of Vehicular Ad-hoc Networks (VANET) is to considerably increase road safety and travel comfort by enabling inter-vehicle communications. Among a vast array potential applications, emergency message (EM) dissemination has attracted lot attention in the literature. In this paper, we propose time/location-critical (TLC) framework for EM use our scalable modulation coding (SMC) scheme achieve goal. specific, vehicles near accident site (or point-of-interest location) receive...
Recently, much research effort has been devoted to employing mobile chargers for energy replenishment of the robots in robotic sensor networks. Observing discrepancy between charging latency and charger travel distance, we propose a novel tree-based schedule charger, which minimizes its distance without causing robot depletion. We analytically evaluate performance show closeness optimal solutions. Furthermore, through queue-based approach, provide theoretical guidance on setting remaining...
Geocast, delivering messages to a specific location, has become an important issue with the accelerated development of location-based services in mobile networks. Geocast automotive domain is particular interest, enabling many promising applications, such as geographic advertising, traffic alerts, etc. Different from conventional geocast algorithms focusing on distance-based approaches, this paper, we propose mobility-aware algorithm (GeoMob) for urban VANETs Delay-Tolerant Network (DTN)...
Minimizing the end-to-end delay for data dissemination in a large-scale VANET with both buses of fixed schedules and taxis random is challenging issue, due to scalability, high-mobility, network heterogeneity concerns. Particularly, mix fixed-scheduled makes components along path dependent hard estimate. In this paper, address scalability high-mobility issues, we introduce store-and-forward framework VANETs extra storage using "drop boxes", which function similar routers. Next, propose an...
For disconnected Vehicular Ad hoc NETworks (VANETs), the carry-and-forward mechanism is promising to ensure delivery success ratio at cost of a longer delay, as vehicle travel speed much lower than wireless signal propagation speed. Estimating delay critical select paths with low and also challenging given random topology high mobility, difficulty let message propagate along selected path. In this paper, we first propose simple yet effective strategy considering bidirectional traffic for...
To collect data from large-scale wireless sensor networks (WSNs) is a challenging issue and there are mainly two approaches to increase the efficiency: 1) by hierarchical routing based on node clustering 2) mobile elements (MEs). Since either method has pros cons, this paper presents hybrid approach, called node-density-based collection (NDCMC), combine ME in WSNs. A number of cluster heads (CHs) gather information members then an visits these CHs data. First, for randomly deployed WSN, new...
Privacy-preserving data aggregation (DA) in ad hoc networks is a challenging problem, considering the distributed communication and control requirement, dynamic network topology, unreliable links, etc. Different from widely used cryptographic approaches, this paper, we address problem by exploiting consensus technique. We first propose secure consensus-based DA algorithm that guarantees an accurate sum while preserving privacy of sensitive data. Then, prove proposed converges accurately...
Data-intensive applications need to address the problem of how properly place set data items distributed storage nodes. Traditional techniques use hashing method achieve load balance among nodes such as those in Hadoop and Cassandra, but they do not work efficiently for requests reading multiple one transaction, especially when source locations are also distributed. Recent works proposed managed placement schemes online social networks, have a limited scope due their focuses. We propose an...
Internet of Vehicles (IoV) is a promising Things application, where roadside unit (RSU) plays an important role for network service provisioning. How to select the number and locations RSUs deploy allocate traffic load them critical practical open problem. Most existing work focused on 1-D scenarios assuming unlimited RSU capacity, while more 2-D case with limited capacity has not been fully considered yet. In this paper, we investigate deployment problem IoV networks considering expected...
We study the computation resource management problem in mobile edge-cloud computing networks. Mobile edge servers shall first satisfy requirements of users and Internet Things (IoT) devices, then wholesale redundant resources to cloud networks maximize their profit. Due coarse time granularity wholesales, buyback may happen occasionally deal with traffic bursts. Thus, need make a tradeoff between profit cost. In this paper, is modeled as maximization. To solve problem, we analyze...