Title :
A Priced Public Sensing Framework for Heterogeneous IoT Architectures
Author :
Al-Fagih, Ashraf E. ; Al-Turjman, Fadi M. ; Alsalih, Waleed M. ; Hassanein, Hossam S.
Author_Institution :
Inf. & Comput. Sci. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
The proliferation of wireless sensors has given rise to public sensing (PS) as a vibrant data-sharing model. This vision can be extended under the umbrella of the Internet of Things (IoT) to include versatile data sources within smart cities such as cell phones, radio frequency identification tags and sensors on roads, and buildings and living spaces. The facilitation of such a vision faces many challenges in terms of inter operability, resource management, and pricing. In this paper, we present a priced PS framework for IoT architectures. Our framework caters for service-based applications in smart cities where data is provided via a data cloud of multifarious data sources. We propose online heuristics for public data delivery in smart city settings. We also introduce a pricing utility function for data acquisition. Our pricing function considers resource limitations in terms of delay, capacity and lifetime on the data providers´ side, as well as user´s quality and trust requirements from the requesters´ side. We present simulation results showing the efficiency of our scheme as compared with other wireless sensor and mobile ad-hoc schemes with respect to scalability, lifetime, delay, delivery ratio, and price.
Keywords :
Internet of Things; cloud computing; data acquisition; delays; pricing; wireless sensor networks; Internet of Things; IoT architectures; data acquisition; data cloud; data sources; data-sharing model; interoperability; mobile ad-hoc schemes; online heuristics; priced PS framework; pricing utility function; public data delivery; public sensing; resource management; service-based applications; smart cities; trust requirements; wireless sensors; Cities and towns; Intelligent sensors; Mobile communication; Network architecture; Power system economics; Pricing; Wireless sensor networks; Internet of Things; Wireless sensor networks; heuristic algorithms; public sensing; utility functions;
Journal_Title :
Emerging Topics in Computing, IEEE Transactions on
DOI :
10.1109/TETC.2013.2278698