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Crowdsourcing of Sensor Cloud Services

  • Azadeh  Ghari Neiat
  • Athman Bouguettaya

Table of contents

  1. Front Matter
    Pages i-xix
  2. Azadeh Ghari Neiat, Athman Bouguettaya
    Pages 1-8
  3. Azadeh Ghari Neiat, Athman Bouguettaya
    Pages 9-24
  4. Azadeh Ghari Neiat, Athman Bouguettaya
    Pages 25-50
  5. Azadeh Ghari Neiat, Athman Bouguettaya
    Pages 73-99
  6. Azadeh Ghari Neiat, Athman Bouguettaya
    Pages 101-105
  7. Back Matter
    Pages 107-116

About this book

Introduction

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.  

Keywords

Sensor Cloud Spatio-temporal service model Crowdsourced services Incentive model Computing Spatio-temporal composition QoS Coverage equilibrium Internet of Things IoT services Travel planning Crowdsourced WiFi hotspot sharing Dynamic reconfiguration Replanning Smart city

Authors and affiliations

  • Azadeh  Ghari Neiat
    • 1
  • Athman Bouguettaya
    • 2
  1. 1.School of Information TechnologiesUniversity of School of Information TechnologiesNSWAustralia
  2. 2.School of Information TechnologiesUniversity of SydneyNSWAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-91536-4
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-91535-7
  • Online ISBN 978-3-319-91536-4
  • Buy this book on publisher's site