Crowdsourcing of Sensor Cloud Services
Springer International Publishing (Verlag)
978-3-319-91535-7 (ISBN)
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.
1 Introduction.- 2 Background.- 3 Spatio-Temporal Linear Composition of Sensor-Cloud Services.- 4 Crowdsourced Coverage as a Service: Two-Level Composition of SensorCloud Services.- 5 Incentive-Based Crowdsourcing of Hotspot Services 84.- 6 Conclusion.
"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)
“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)
| Erscheinungsdatum | 11.07.2018 |
|---|---|
| Zusatzinfo | XIX, 116 p. 43 illus., 36 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 375 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Schlagworte | computing • Coverage equilibrium • Crowdsourced services • Crowdsourced WiFi hotspot sharing • dynamic reconfiguration • Incentive model • internet of things • IoT services • QoS • Replanning • Sensor Cloud • Smart City • Spatio-temporal composition • Spatio-temporal service model • travel planning |
| ISBN-10 | 3-319-91535-5 / 3319915355 |
| ISBN-13 | 978-3-319-91535-7 / 9783319915357 |
| Zustand | Neuware |
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