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Proactive Composition of Mobile IoT Energy Services [article]

Abdallah Lakhdari, Athman Bouguettaya
2021 arXiv   pre-print
We propose a novel proactive composition framework of wireless energy services in a crowdsourced IoT environment.  ...  The proposed composition approach leverages the mobility and energy usage behavior to generate energy services and requests proactively.  ...  CONCLUSION We propose a novel proactive spatio-temporal composition framework to crowdsource energy services from IoT devices.  ... 
arXiv:2107.12519v1 fatcat:nl2shr7b5zamvithzy4do5vbxi

Fluid Composition of Intermittent IoT Energy Services [article]

Abdallah Lakhdari, Athman Bouguettaya
2020 arXiv   pre-print
We propose a novel fluid composition approach of wireless energy services in a crowdsourced IoT environment.  ...  We model the IoT energy services based on their mobility patterns to propose a knapsack-based heuristic for the fluid composition.  ...  We propose a novel fluid spatio-temporal composition framework to crowdsource energy services from IoT devices.  ... 
arXiv:2008.00787v1 fatcat:ynvyegawqrhqdb23eu3fhyds74

Composing Energy Services in a Crowdsourced IoT Environment

Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry, Azadeh Ghari Ghari Neiat
2020 IEEE Transactions on Services Computing  
We propose a heuristic-based composition approach using the temporal and energy capacity distributions of services.  ...  We propose a new energy service composability model that considers the spatio-temporal aspects and the usage patterns of the IoT devices.  ...  The statements made herein are solely the responsibility of the authors.  ... 
doi:10.1109/tsc.2020.2980258 fatcat:mpz5hkiwx5ebxhie5dzrsamquu

A Deep Reinforcement Learning Approach for Composing Moving IoT Services [article]

Azadeh Ghari Neiat, Athman Bouguettaya, Mohammed Bahutair
2021 arXiv   pre-print
We develop a novel framework for efficiently and effectively discovering crowdsourced services that move in close proximity to a user over a period of time.  ...  We introduce a moving crowdsourced service model which is modelled as a moving region.  ...  The authors also acknowledge the University of Sydney HPC service at The University of Sydney for providing HPC resources that have contributed to the research results reported within this paper.  ... 
arXiv:2111.03967v1 fatcat:pu7di2fslff3poaiffhdcddneu

Fairness-aware Crowdsourcing of IoT Energy Services [article]

Abdallah Lakhdari, Athman Bouguettaya
2021 arXiv   pre-print
We propose a Novel Fairness-Aware framework for Crowdsourcing Energy Services (FACES) to efficiently provision crowdsourced IoT energy services.  ...  FACES, however, maximizes the utilization of the available energy services by maximizing fairness across all requests.  ...  The statements made herein are solely the responsibility of the authors.  ... 
arXiv:2111.06064v1 fatcat:m2ymffht5fe3rmbepj6whfakpq

A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services

Ahmed Ben Said, Abdelkarim Erradi, Azadeh Ghari Neiat, Athman Bouguettaya
2018 Journal on spesial topics in mobile networks and applications  
A novel two-stage prediction model is introduced based on historical spatio-temporal traces of mobile crowdsourced services.  ...  This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally.  ...  The statements made herein are solely the responsibility of the authors.  ... 
doi:10.1007/s11036-018-1105-0 fatcat:7i2u4y2elbfi7mwipjlcf5xjau

Mobile Crowdsourced Sensors Selection for Journey Services [article]

Ahmed Ben Said and Abdelkarim Erradi and Azadeh Ghari Neiat and Athman Bouguettaya
2018 arXiv   pre-print
We develop a location estimation model of journey services based on an unsupervised learning model to select and cluster the right mobile crowdsourced sensors that are accurately mapped to the right journey  ...  service.  ...  Acknowledgment This research was made possible by NPRP 9-224-1-049 grant from the Qatar National Research Fund (a member of The Qatar Foundation)  ... 
arXiv:1812.08877v1 fatcat:3men4enjxveqhd5kzku5bk6pjy

Elastic Composition of Crowdsourced IoT Energy Services [article]

Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry, Azadeh Ghari Neiat, Basem Suleiman
2020 arXiv   pre-print
We propose a novel type of service composition, called elastic composition which provides a reliable framework in a highly fluctuating IoT energy provisioning settings.  ...  We introduce the concepts of soft deadline and hard deadline as key criteria to cater for an elastic composition framework.  ...  The elastic composition component takes as input, the advertised services and the energy query to perform the spatio-temporal The temporal composition module provides all the possible compositions of  ... 
arXiv:2011.06771v1 fatcat:yji56dxh4fb7fo5akbb7pbwzey

Social-Sensor Composition for Tapestry Scenes

Tooba Aamir, Hai Dong, Athman Bouguettaya
2020 IEEE Transactions on Services Computing  
Our major contribution lies on proposing a context and direction-aware spatio-temporal clustering and recommendation approach for selecting a set of temporally and semantically similar services to compose  ...  The existing attempts however ignore the temporal-semantic relevance and spatio-temporal evolution of the images and direction-oriented scene reconstruction.  ...  The purpose of the service recommender is to select and 504 recommend a set of clusters of services for the composition by 505 assessing spatio-temporal proximity and contextual relevance 506 of the services  ... 
doi:10.1109/tsc.2020.2974741 fatcat:wwmzqkvutjfwzecoaz7guo7zay

Heuristics based Mosaic of Social-Sensor Services for Scene Reconstruction [article]

Tooba Aamir, Hai Dong, Athman Bouguettaya
2020 arXiv   pre-print
Multiple machine learning strategies are employed to produce smooth service composition resulting in a mosaic of relevant images indexed by geolocation and time.  ...  We propose a heuristics-based social-sensor cloud service selection and composition model to reconstruct mosaic scenes.  ...  The statements made herein are solely the responsibility of the authors.  ... 
arXiv:2009.11663v1 fatcat:5lyzycfzj5akzawakbqt2p3kba

Incentive-Based Selection and Composition of IoT Energy Services [article]

Amani Abusafia and Athman Bouguettaya and Sajib Mistry
2020 arXiv   pre-print
We propose a novel priority scheduling approach to compose energy service requests that maximizes the reward of the provider.  ...  We propose a novel incentive-based framework for composing energy service requests.  ...  Composing energy service requests need to consider the spatio-temporal features of the service and requests.  ... 
arXiv:2007.09985v1 fatcat:lwayefkkefgbviplw7na2rueci

Reliability Model for Incentive-Driven IoT Energy Services [article]

Amani Abusafia, Athman Bouguettaya
2021 arXiv   pre-print
We propose a novel reliability model for composing energy service requests. The proposed model is based on consumers' behavior and history of energy requests.  ...  Incentives are used as a green solution to increase IoT users' participation in a crowdsourced energy sharing environment.  ...  The composition of energy requests considers the spatio-temporal features of the service and requests.  ... 
arXiv:2011.06159v3 fatcat:g7wzksiwqnbwnjqwkgcpxvgcya

CLODA: A Crowdsourced Linked Open Data Architecture

Georgios Larkou, Julia Metochi, Georgios Chatzimilioudis, Demetrios Zeinalipour-Yazti
2013 2013 IEEE 14th International Conference on Mobile Data Management  
In this paper we present our Crowdsourced Linked Open Data Architecture (CLODA), a first attempt to combine crowdsourcing, localization and location-based services to generate, collect, validate and relate  ...  The validity of the constructed data is then contributed by a participating crowd.  ...  ACKNOWLEDGMENT This work was supported by the last author's startup grant, funded by the University of Cyprus, EU's FP7 Planetdata NoE (2007-2013), the EU's FP7 "Mobility, Data Mining, and Privacy" project  ... 
doi:10.1109/mdm.2013.76 dblp:conf/mdm/LarkouMCZ13 fatcat:lu5l2iitdjadpo5wxcckrh73dm

A probabilistic approach for maximizing travel journey WiFi coverage using mobile crowdsourced services

Ahmed Ben Said, Abdelkarim Erradi
2019 IEEE Access  
To enhance the availability of WiFi coverage, we propose a probabilistic approach to discover groups of available crowdsourced WiFi services along with the journey segments.  ...  This requires discovering mobile crowdsourced WiFi services available along the journey path. However, this task is challenging due to the uncertain availability of discovered services.  ...  ACKNOWLEDGMENT The statements made herein are solely the responsibility of the authors.  ... 
doi:10.1109/access.2019.2924434 fatcat:r56qmzbf2jbxdneg5rmgvxrope

New Generation Platforms for Exploration of Crowdsourced Geo-Data [chapter]

Maria Antonia Brovelli, Marco Minghini, Giorgio Zamboni
2018 Earth Observation Open Science and Innovation  
of geo-crowdsourced data to extract information in order to create a higher level understanding of natural and manmade phenomena.  ...  It is a new, citizen-centred paradigm which, in most cases, takes advantage of the individual and collective augmented capability of sensing the surrounding world through the sensors that we wear.  ...  working with spatio-temporal data.  ... 
doi:10.1007/978-3-319-65633-5_9 fatcat:gj4t5hxshvb4poheyi6j3jdbze
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