Crowdsourcing of Sensor Cloud Services
Authors: Neiat, Azadeh Ghari, Bouguettaya, Athman
Free Preview- Provides Crowdsourced WiFi Coverage as a Service
- Presents Spatio-Temporal Composition of Sensor-Cloud Services
- Introduces a novel, heuristic failure-proof service composition algorithm based on the incremental re-planning algorithm D* Lite for real-time reaction to sensor-cloud services which become unavailable because they are no longer spatially or temporally available
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- About this book
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This book develops a crowdsourced sensor-cloud service composition framework taking into account spatio-temporal aspects. This book also unfolds new horizons to service-oriented computing towards the direction of crowdsourced sensor data based applications, in the broader context of Internet of Things (IoT). It is a massive challenge for the IoT research field how to effectively and efficiently capture, manage and deliver sensed data as user-desired services. The outcome of this research will contribute to solving this very important question, by designing a novel service framework and a set of unique service selection and composition frameworks.
Delivering a novel service framework to manage crowdsourced sensor data provides high-level abstraction (i.e., sensor-cloud service) to model crowdsourced sensor data from functional and non-functional perspectives, seamlessly turning the raw data into “ready to go” services. A creative indexing model is developed to capture and manage the spatio-temporal dynamism of crowdsourced service providers.
Delivering novel frameworks to compose crowdsourced sensor-cloud services is vital. These frameworks focuses on spatio-temporal composition of crowdsourced sensor-cloud services, which is a new territory for existing service oriented computing research. A creative failure-proof model is also designed to prevent composition failure caused by fluctuating QoS.
Delivering an incentive model to drive the coverage of crowdsourced service providers is also vital. A new spatio-temporal incentive model targets changing coverage of the crowdsourced providers to achieve demanded coverage of crowdsourced sensor-cloud services within a region.
The outcome of this research is expected to potentially create a sensor services crowdsourcing market and new commercial opportunities focusing on crowdsourced data based applications. The crowdsourced community based approach adds significant value to journey planning and map services thus creating a competitive edge for a technologically-minded companies incentivizing new start-ups, thus enabling higher market innovation.
This book primarily targets researchers and practitioners, who conduct research work in service oriented computing, Internet of Things (IoT), smart city and spatio-temporal travel planning, as well as advanced-level students studying this field. Small and Medium Entrepreneurs, who invest in crowdsourced IoT services and journey planning infrastructures, will also want to purchase this book.
- Reviews
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“The book is suitable for scientists and programmers, both for research and for developing practical applications. … the proposed approaches, models, and algorithms could be useful for managing similar space-intensive and/or time-intensive crowdsourced cloud services.” (Snezhana Gocheva-Ilieva, Computing Reviews, February, 2019)
- Table of contents (6 chapters)
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Introduction
Pages 1-8
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Background
Pages 9-24
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Spatio-Temporal Linear Composition of Sensor Cloud Services
Pages 25-50
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Crowdsourced Coverage as a Service: Two-Level Composition of Sensor Cloud Services
Pages 51-72
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Incentive-Based Crowdsourcing of Hotspot Services
Pages 73-99
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Table of contents (6 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Crowdsourcing of Sensor Cloud Services
- Authors
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- Azadeh Ghari Neiat
- Athman Bouguettaya
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG, part of Springer Nature
- eBook ISBN
- 978-3-319-91536-4
- DOI
- 10.1007/978-3-319-91536-4
- Hardcover ISBN
- 978-3-319-91535-7
- Softcover ISBN
- 978-3-030-08269-7
- Edition Number
- 1
- Number of Pages
- XIX, 116
- Number of Illustrations
- 7 b/w illustrations, 36 illustrations in colour
- Topics
*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.
