47 citations · 190 across the 66 of their papers we have counts for
87 papers
Modeling Inter-drone Interference as a Service in Skyway Networks
Gabriel Timothy, Syeda Amna Rizvi, Muhammad Umair +2
We present a novel investigation into the impact of inter-drone interference on delivery efficiencies within multi-drone skyway networks. We conduct controlled experiments to analy…
Impact of Spatial Proximity on Drone Services
Vejaykarthy Srithar, Syeda Amna Rizvi, Amani Abusafia +2
We demonstrate the peer-to-peer impact of drones flying in close proximity. Understanding these impacts is crucial for planning efficient drone delivery services. In this regard, w…
Energy-Predictive Planning for Optimizing Drone Service Delivery
Guanting Ren, Babar Shahzaad, Balsam Alkouz +2
We propose a novel Energy-Predictive Drone Service (EPDS) framework for efficient package delivery within a skyway network. The EPDS framework incorporates a formal modeling of an…
Privacy-aware IoT Fall Detection Services For Aging in Place
Abdallah Lakhdari, Jiajie Li, Amani Abusafia +1
Fall detection is critical to support the growing elderly population, projected to reach 2.1 billion by 2050. However, existing methods often face data scarcity challenges or compr…
Signature-based IaaS Performance Change Detection
Sheik Mohammad Mostakim Fattah, Athman Bouguettaya
We propose a novel change detection framework to identify changes in the long-term performance behavior of an IaaS service. An IaaS service's long-term performance behavior is repr…
Impact Conflict Detection of IoT Services in Multi-resident Smart Homes
Dipankar Chaki, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel impact conflict detection framework for IoT services in multi-resident smart homes. The proposed impact assessment model is developed based on the integral of a…
Reactive Composition of UAV Delivery Services in Urban Environments
Woojin Lee, Babar Shahzaad, Balsam Alkouz +1
We propose a novel failure-aware reactive UAV delivery service composition framework. A skyway network infrastructure is presented for the effective provisioning of services in urb…
FEDQ-Trust: Efficient Data-Driven Trust Prediction for Mobile Edge-Based IoT Systems
Jiahui Bai, Hai Dong, Athman Bouguettaya
We introduce FEDQ-Trust, an innovative data-driven trust prediction approach designed for mobile edge-based Internet of Things (IoT) environments. The decentralized nature of mobil…
Determining Intent of Changes to Ascertain Fake Crowdsourced Image Services
Muhammad Umair, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel framework for crowdsourced images to determine the likelihood of an image being fake. We use a service-oriented approach to model and represent crowdsourced imag…
Context-Aware Trustworthy IoT Energy Services Provisioning
Amani Abusafia, Athman Bouguettaya, Abdallah Lakhdari
We propose an IoT energy service provisioning framework to ensure consumers' Quality of Experience (QoE). A novel context-aware trust assessment model is proposed to evaluate the t…
EdgeDis: Enabling Fast, Economical, and Reliable Data Dissemination for Mobile Edge Computing
Bo Li, Qiang He, Feifei Chen +3
Mobile edge computing (MEC) enables web data caching in close geographic proximity to end users. Popular data can be cached on edge servers located less than hundreds of meters awa…
Immersive 3D Simulator for Drone-as-a-Service
Jiamin Lin, Balsam Alkouz, Athman Bouguettaya +1
We propose a 3D simulator tailored for the Drone-as-a-Service framework. The simulator enables employing dynamic algorithms for addressing realistic delivery scenarios. We present…
Positional Encoding-based Resident Identification in Multi-resident Smart Homes
Zhiyi Song, Dipankar Chaki, Abdallah Lakhdari +1
We propose a novel resident identification framework to identify residents in a multi-occupant smart environment. The proposed framework employs a feature extraction model based on…
Detecting Changes in Crowdsourced Social Media Images
Muhammad Umair, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel service framework to detect changes in crowdsourced images. We use a service-oriented approach to model and represent crowdsourced images as image services. Non-…
A Survey on Conflict Detection in IoT-based Smart Homes
Bing Huang, Dipankar Chaki, Athman Bouguettaya +1
As the adoption of IoT-based smart homes continues to grow, the importance of addressing potential conflicts becomes increasingly vital for ensuring seamless functionality and user…
Flow-Based Energy Services Composition
Amani Abusafia, Abdallah Lakhdari, Athman Bouguettaya
We propose a novel spatio-temporal service composition framework for crowdsourcing multiple IoT energy services to cater to multiple energy requests. We define a new energy service…
Failure-Sentient Composition For Swarm-Based Drone Services
Balsam Alkouz, Athman Bouguettaya, Abdallah Lakhdari
We propose a novel failure-sentient framework for swarm-based drone delivery services. The framework ensures that those drones that experience a noticeable degradation in their per…
CrowdWeb: A Visualization Tool for Mobility Patterns in Smart Cities
Yisheng Alison Zheng, Abdallah Lakhdari, Amani Abusafia +2
Human mobility patterns refer to the regularities and trends in the way people move, travel, or navigate through different geographical locations over time. Detecting human mobilit…
Energy Loss Prediction in IoT Energy Services
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari +1
We propose a novel Energy Loss Prediction(ELP) framework that estimates the energy loss in sharing crowdsourced energy services. Crowdsourcing wireless energy services is a novel a…
Activity-based Profiling for Energy Harvesting Estimation
Jiajie Li, Amani Abusafia, Abdallah Lakhdari +1
We propose a novel activity-based profiling framework to estimate IoT users' harvested energy based on their daily activities. Energy is harvested from natural sources such as the…
Optimizing Drone Delivery in Smart Cities
Babar Shahzaad, Balsam Alkouz, Jermaine Janszen +1
We propose a novel context-aware drone delivery framework for optimizing package delivery through skyway networks in smart cities. We reformulate the problem of finding an optimal…
Service-based Trajectory Planning in Multi-Drone Skyway Networks
Sarah Bradley, Albertus Alvin Janitra, Babar Shahzaad +3
We present a demonstration of service-based trajectory planning for a drone delivery system in a multi-drone skyway network. We conduct several experiments using Crazyflie drones t…
Drone Formation for Efficient Swarm Energy Consumption
Shilong Guo, Balsam Alkouz, Babar Shahzaad +2
We demonstrate formation flying for drone swarm services. A set of drones fly in four different swarm formations. A dataset is collected to study the effect of formation flying on…
Monitoring Efficiency of IoT Wireless Charging
Pengwei Yang, Amani Abusafia, Abdallah Lakhdari +1
Crowdsourcing wireless energy is a novel and convenient solution to charge nearby IoT devices. Several applications have been proposed to enable peer-to-peer wireless energy chargi…