Abstract: Next-generation mobile communication networks can provide high-speed and low-latency services by deploying small cell base stations (SBS) under a macro base station (MBS) and caching popular content at the SBSs. This project examines edge…
Abstract: Mobile data collection improves energy efficiency and load distribution in wireless sensor networks (WSNs). Complex networks make path design difficult. An objective-variable tour planning (OVTP) strategy for mobile data gathering in partitioned WSNs addresses…
Abstract: Understanding point-of-interest (POI) mobility patterns improves mobile business intelligence. While many studies have attempted this, most use POI check-ins to mine mobility patterns, which is ineffective due to data sparsity. This project directly annotates…
Abstract: Nanonetworks consist of interacting nano-nodes from several hundred cubic nanometers to several cubic micrometers. Nano-nodes’ limited computational resources, energy fluctuations caused by energy harvesting processes, and transmission range at Terahertz (THz)-band frequencies (0.1-10 THz)…
Abstract: Mobile users (MUs) buy wireless data services from ISPs to access the Internet and content services (e.g., online games) from CPs. Intelligent functions like AI and 3D modeling increase the computation-intensity of content services,…
Abstract: Mobile edge computing (MEC) could bring cloud services to mobile users at the network edge. Edge clouds reduce latency, operational cost, and network resource availability. NFV, like MEC, implements network service functions as software…
Abstract: Wearable sensors enable an active learning framework for activity recognition. Our work is unique because it considers the oracle’s limitations when selecting sensor data for annotation. Humans’ limited mobile device response time inspired our…
Abstract: This project uses a systems approach to study how UAV millimeter wave (mmWave) radio transmitters provide high-throughput links under typical hovering conditions. We use Terragraph channel sounder units to study signal fluctuations and sub-optimal…
Abstract: Infrastructure monitoring, precision agriculture, and search and rescue require ground device (GD) localization. Due to their flexibility, drones or UAVs are promising technologies. However, drone distance measurements, an essential part of localization, have several…
Abstract: This project examines mobile edge caching and dynamic driving-related context information in information-centric vehicular networks (ICVNs) content service provision. Roadside units (RSUs) use two cache update and content delivery schemes for low-latency information. The…
Abstract: MNOs offer monthly data plans for wireless data services. Users must pay roaming fees for overseas data consumption, as the data cap only applies to domestic data. A new location-flexible service lets users access…
Abstract: TPL detection is crucial to Android malware analysis. Recent research emphasizes signature-based methods. Previous methods have limitations like high time complexity and low precision, especially with similar TPLs and different TPL versions. LibRoad, a…
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