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<p>This book develops a crowdsourced sensor-cloud service composition framework&nbsp;taking into account <i>spatio-temporal </i>aspects. This book also unfolds new&nbsp;horizons to service-oriented computing towards the direction of&nbsp;<i>crowdsourced sensor data based applications</i>, in the broader context of&nbsp;Internet of Things (IoT). It is a massive challenge for the IoT research field&nbsp;how to <i>effectively </i>and <i>efficiently </i>capture, manage and deliver sensed data&nbsp;as <i>user-desired services</i>. The outcome of this research will contribute to&nbsp;solving this very important question, by designing a novel service&nbsp;framework and a set of unique service selection and composition&nbsp;frameworks.</p><p>Delivering a novel service framework to manage crowdsourced sensor&nbsp;data provides high-level abstraction (i.e.,&nbsp;<i>sensor-cloud service</i>) to model crowdsourced sensor data from <i>functional&nbsp;</i>and <i>non-functional </i>perspectives, seamlessly turning the raw <i>data </i>into&nbsp;“ready to go” <i>services</i>. A creative indexing model is developed to capture&nbsp;and manage the <i>spatio-temporal dynamism </i>of crowdsourced service&nbsp;providers.</p><p>Delivering novel frameworks to compose crowdsourced sensor-cloud&nbsp;services is vital. These frameworks focuses on spatio-temporal composition of&nbsp;crowdsourced sensor-cloud services, which is a new territory for existing&nbsp;service oriented computing research. A creative failure-proof model is also&nbsp;designed to prevent composition failure caused by fluctuating QoS.</p><p>Delivering an incentive model to drive the coverage of crowdsourced&nbsp;service providers is also vital. A new spatio-temporal incentive model targets changing&nbsp;coverage of the crowdsourced providers to achieve demanded coverage of&nbsp;crowdsourced sensor-cloud services within a region.</p><p>The outcome of this research is expected to potentially create a sensor&nbsp;services crowdsourcing market and new commercial opportunities focusing&nbsp;on crowdsourced data based applications. The crowdsourced community based&nbsp;approach adds significant value to journey planning and map&nbsp;services thus creating a competitive edge for a technologically-minded&nbsp;companies incentivizing new start-ups, thus enabling higher market&nbsp;innovation.</p><p>This book primarily targets researchers and practitioners, who conduct research work in service oriented computing,&nbsp;Internet of Things (IoT), smart city and spatio-temporal travel planning, as well as advanced-level students studying this field.&nbsp;Small and Medium Entrepreneurs, who invest in crowdsourced IoT services and journey planning infrastructures, will also want to purchase this book.&nbsp;&nbsp;</p><p></p>