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A context-aware mobile service discovery and selection mechanism using artificial neural networks

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ICEC '06: Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet

Pages 594 - 598

https://doi.org/10.1145/1151454.1151467

Published: 13 August 2006 Publication History

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Abstract

In this paper we present SmartCon, a context-aware system for the discovery and selection of mobile services using Artificial Neural Networks (ANNs). The solution we have developed is a mobile agent-enabled system that adaptively and iteratively learns to select the best available mobile service derived from the extraction of a series of features utilizing contextual information such as the Composite Capabilities/Preferences Profile (CC/PP), service-specific, and non-uniform user-specific features which are supplied to a backpropagation neural network. Based on the features provided, the neural network classifies the most relevant mobile service. In the present work, the system is also capable through iterative learning to generalize and gather information using cognitive feedback based on user's decisions and interactivity with a mobile device. SmartCon is evaluated using a series of preliminary empirical data and results show an 87% success rate in the discovery and selection of the best or most relevant mobile service.

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Cited By

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Azizou ZBoudries AAmad M(2023)Grey Wolf Optimizer-based Decentralized Service Discovery in the Internet of Things ApplicationsInternational Journal of Sensors, Wireless Communications and Control10.2174/012210327925245723101806085413:6(418-426)Online publication date: Nov-2023
https://doi.org/10.2174/0122103279252457231018060854
Shafaei SMuller FSalzmann TFarzaneh MKugele SKnoll A(2018)Context Prediction Architectures in Next Generation of Intelligent Cars2018 21st International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC.2018.8569617(2923-2930)Online publication date: Nov-2018
https://doi.org/10.1109/ITSC.2018.8569617
Rapti EKarageorgos AHoustis CHoustis E(2017)Decentralized service discovery and selection in Internet of Things applications based on artificial potential fieldsService Oriented Computing and Applications10.1007/s11761-016-0198-111:1(75-86)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1007/s11761-016-0198-1
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Index Terms

A context-aware mobile service discovery and selection mechanism using artificial neural networks
1. Computing methodologies
  1. Machine learning
2. Software and its engineering
  1. Software creation and management
    1. Designing software
  2. Software organization and properties
    1. Contextual software domains
      1. Operating systems

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Published In

August 2006

624 pages

ISBN:1595933921

DOI:10.1145/1151454

Conference Chairs:
Mark S. Fox
University of Toronto, Canada
,
Bruce Spencer
National Research Council Canada

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 13 August 2006

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ICEC '06 Paper Acceptance Rate 53 of 112 submissions, 47%;

Overall Acceptance Rate 150 of 244 submissions, 61%

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Azizou ZBoudries AAmad M(2023)Grey Wolf Optimizer-based Decentralized Service Discovery in the Internet of Things ApplicationsInternational Journal of Sensors, Wireless Communications and Control10.2174/012210327925245723101806085413:6(418-426)Online publication date: Nov-2023
https://doi.org/10.2174/0122103279252457231018060854
Shafaei SMuller FSalzmann TFarzaneh MKugele SKnoll A(2018)Context Prediction Architectures in Next Generation of Intelligent Cars2018 21st International Conference on Intelligent Transportation Systems (ITSC)10.1109/ITSC.2018.8569617(2923-2930)Online publication date: Nov-2018
https://doi.org/10.1109/ITSC.2018.8569617
Rapti EKarageorgos AHoustis CHoustis E(2017)Decentralized service discovery and selection in Internet of Things applications based on artificial potential fieldsService Oriented Computing and Applications10.1007/s11761-016-0198-111:1(75-86)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1007/s11761-016-0198-1
Bradai SKhemakhem SJmaiel M(2014)Discovering Services in Mobile EnvironmentsHandbook of Research on Architectural Trends in Service-Driven Computing10.4018/978-1-4666-6178-3.ch013(299-329)Online publication date: 2014
https://doi.org/10.4018/978-1-4666-6178-3.ch013
Elgazzar KHassanein HMartin P(2014)DaaSPervasive and Mobile Computing10.1016/j.pmcj.2013.10.01513(67-84)Online publication date: 1-Aug-2014
https://dl.acm.org/doi/10.1016/j.pmcj.2013.10.015
Biancalana CGasparetti FMicarelli ASansonetti G(2013)An approach to social recommendation for context-aware mobile servicesACM Transactions on Intelligent Systems and Technology10.1145/2414425.24144354:1(1-31)Online publication date: 1-Feb-2013
https://dl.acm.org/doi/10.1145/2414425.2414435
Elgazzar KHassanein HMartin P(2011)Effective Web service discovery in mobile environmentsProceedings of the 2011 IEEE 36th Conference on Local Computer Networks10.1109/LCN.2011.6115537(697-705)Online publication date: 4-Oct-2011
https://dl.acm.org/doi/10.1109/LCN.2011.6115537
Al-Masri EMahmoud Q(2010)MobiEurekaPersonal and Ubiquitous Computing10.1007/s00779-009-0252-514:7(609-620)Online publication date: 1-Oct-2010
https://dl.acm.org/doi/10.1007/s00779-009-0252-5
Boytsov AZaslavsky A(2010)Context Prediction in Pervasive Computing Systems: Achievements and ChallengesSupporting Real Time Decision-Making10.1007/978-1-4419-7406-8_3(35-63)Online publication date: 29-Oct-2010
https://doi.org/10.1007/978-1-4419-7406-8_3
Al-Masri EMahmoud Q(2009)Device-aware discovery and ranking of mobile servicesProceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference10.5555/1700527.1700736(813-817)Online publication date: 11-Jan-2009
https://dl.acm.org/doi/10.5555/1700527.1700736
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SmartCon: a context-aware service discovery and selection mechanism using Artificial Neural Networks

Design and implementation of a smart system for personalization and accurate selection of mobile services

Device-aware discovery and ranking of mobile services

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SmartCon: a context-aware service discovery and selection mechanism using Artificial Neural Networks

Design and implementation of a smart system for personalization and accurate selection of mobile services

Device-aware discovery and ranking of mobile services

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