A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Environmental‐Assisted Vehicular Data in Smart Cities
This chapter discusses the concept of location proof for vehicular trajectory data in smart cities. Compared to location‐based services or mobile social networks, the moving trajectories of vehicles within a region are more predicable due to traffic restrictions. Regarding the aspects of security and privacy, this unique feature makes the construction of verifiable vehicular data indexes become cheaper than that of a series of location proofs in a mobile social network, which is strongly dependent on the cryptographic keys among different participants. The chapter also presents a detailed framework by using the wireless signals from roadside units (RSUs) to generate the location proof. It then discusses the use of environmental factors to develop “evidence of presence” for the intelligent vehicle system. It further considers how to use the measured wireless signal from RSUs to verify and index data, and also discusses the optimal RSU placement problem and the location‐time synchronization problem among RSUs.
Environmental‐Assisted Vehicular Data in Smart Cities
This chapter discusses the concept of location proof for vehicular trajectory data in smart cities. Compared to location‐based services or mobile social networks, the moving trajectories of vehicles within a region are more predicable due to traffic restrictions. Regarding the aspects of security and privacy, this unique feature makes the construction of verifiable vehicular data indexes become cheaper than that of a series of location proofs in a mobile social network, which is strongly dependent on the cryptographic keys among different participants. The chapter also presents a detailed framework by using the wireless signals from roadside units (RSUs) to generate the location proof. It then discusses the use of environmental factors to develop “evidence of presence” for the intelligent vehicle system. It further considers how to use the measured wireless signal from RSUs to verify and index data, and also discusses the optimal RSU placement problem and the location‐time synchronization problem among RSUs.
Environmental‐Assisted Vehicular Data in Smart Cities
Song, Houbing (editor) / Srinivasan, Ravi (editor) / Sookoor, Tamim (editor) / Jeschke, Sabina (editor) / Chang, Wei (author) / Zheng, Huanyang (author) / Wu, Jie (author) / C. Tan, Chiu (author) / Ling, Haibin (author)
Smart Cities ; 819-844
2017-07-12
26 pages
Article/Chapter (Book)
Electronic Resource
English
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