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Cristian Borcea

Researcher at New Jersey Institute of Technology

Publications -  119
Citations -  3189

Cristian Borcea is an academic researcher from New Jersey Institute of Technology. The author has contributed to research in topics: Mobile computing & Mobile device. The author has an hindex of 27, co-authored 111 publications receiving 2917 citations. Previous affiliations of Cristian Borcea include Rutgers University & University Heights, Newark.

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VANET Routing on City Roads Using Real-Time Vehicular Traffic Information

TL;DR: A class of routing protocols called road-based using vehicular traffic (RBVT) routing, which outperforms existing routing protocols in city-based vehicular ad hoc networks (VANETs), is presented and designed and implemented and compared them with protocols representative of mobileAd hoc networks and VANets.
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Fostering participaction in smart cities: a geo-social crowdsensing platform

TL;DR: A crowdsensing platform with three main original technical aspects: an innovative geo-social model to profile users along different variables, such as time, location, social interaction, service usage, and human activities; a matching algorithm to autonomously choose people to involve in participActions and to quantify the performance of their sensing.
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MobiSoC: a middleware for mobile social computing applications

TL;DR: MobiSoC is presented, a middleware that enables MSCA development and provides a common platform for capturing, managing, and sharing the social state of physical communities and incorporates algorithms that discover previously unknown emergent geo-social patterns to augment this state.
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Context-Aware Migratory Services in Ad Hoc Networks

TL;DR: This work proposes a novel model of service provisioning in ad hoc networks based on the concept of context- aware migratory services, and built TJam, a proof-of-concept migratory service that predicts traffic jams in a given region of a highway by using only car-to-car short-range wireless communication.
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Proactive Vehicular Traffic Rerouting for Lower Travel Time

TL;DR: Five traffic rerouting strategies designed to be incorporated in a cost-effective and easily deployable vehicular traffic guidance system that reduces travel time are presented and can significantly improve the traffic even if many drivers ignore the guidance or if the system adoption rate is relatively low.