Mobile Crowdsensing - Borcea, Cristian; Talasila, Manoop; Curtmola, Reza
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Mobile sensor systems such as smart phones and vehicular systems represent a new type of infrastructure as an alternative to energy constrained sensors of static sensor networks. Smart phones and vehicular systems can support more complex computations, have significant memory and storage, and offer direct access to the Internet. Therefore, mobile people-centric sensing can be a scalable and cost-effective alternative to deploying static wireless sensor networks for dense sensing coverage across large areas. This book explores mobile crowd sensing systems and their protocols, current uses of…mehr

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Produktbeschreibung
Mobile sensor systems such as smart phones and vehicular systems represent a new type of infrastructure as an alternative to energy constrained sensors of static sensor networks. Smart phones and vehicular systems can support more complex computations, have significant memory and storage, and offer direct access to the Internet. Therefore, mobile people-centric sensing can be a scalable and cost-effective alternative to deploying static wireless sensor networks for dense sensing coverage across large areas. This book explores mobile crowd sensing systems and their protocols, current uses of mobile sensing, advantages of collective sensing, and examples of crowdsourcing applications.
Autorenporträt
Professors Cristian Borcea, Manoop Talasila, and Reza Curtmola are with the Computer Science Department at the New Jersey Institute of Technology where they collaborate on mobile computing and sensing research.