Crowdsourcing of Sensor Cloud Services (eBook)
XIX, 116 Seiten
Springer International Publishing (Verlag)
978-3-319-91536-4 (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 1.1 Motivation 1.2 Problem Statement 1.3 Research Objectives 1.4 Contributions 1.5 Organization 2 Background 2.1 Sensor-Cloud Architecture 2.2 Service Composition 2.3 Spatio-Temporal Crowdsourced Services 2.4 Incentive Models 2.5 Chapter Summary 3 Spatio-Temporal Linear Composition of Sensor-Cloud Services 3.1 Introduction 3.2 Background 3.3 Spatio-Temporal Model for Sensor-Cloud Services 3.4 Spatio-Temporal Selection of Sensor-Cloud Services 3.5 Spatio-Temporal Quality Model for Line Segment Services 3.6 Spatio-Temporal Linear Composition of Sensor-Cloud Services 3.7 Failure-Proof Spatio-Temporal Composition of Sensor Cloud Services 3.8 Performance Study 3.9 Chapter Summary 4 Crowdsourced Coverage as a Service: Two-Level Composition of SensorCloud Services 4.1 Introduction 4.2 Coverage as a Service (CaaS) 4.3 Double-Layered Crowdsourced Sensor-Cloud Service Composition 4.4 Experimental Results 4.5 Chapter Summary 5 Incentive-Based Crowdsourcing of Hotspot Services 84 5.1 Introduction 5.2 Background 5.3 System Model and Problem Formulation 5.4 Spatio-Temporal Incentive-Based Approach 5.5 Experiment Results 5.6 Chapter Summary 6 Conclusion 6.1 Research Objectives Revisited 6.2 Future Research
Erscheint lt. Verlag | 25.6.2018 |
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Zusatzinfo | XIX, 116 p. 43 illus., 36 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik |
Wirtschaft ► Betriebswirtschaft / Management ► Wirtschaftsinformatik | |
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 | 3-319-91536-3 / 3319915363 |
ISBN-13 | 978-3-319-91536-4 / 9783319915364 |
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