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Xu Li

Researcher at Shanghai Jiao Tong University

Publications -  45
Citations -  1063

Xu Li is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Wireless sensor network & Vehicular ad hoc network. The author has an hindex of 14, co-authored 41 publications receiving 962 citations. Previous affiliations of Xu Li include Princeton University & State University of New York System.

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Journal ArticleDOI

Performance Evaluation of Vehicle-Based Mobile Sensor Networks for Traffic Monitoring

TL;DR: Two types of traffic status-estimation algorithms, i.e., the link-based and the vehicle-based, are introduced and analyzed and the results show that estimations of the traffic status based on imperfect data are reasonably accurate.
Journal ArticleDOI

Performance Evaluation of SUVnet With Real-Time Traffic Data

TL;DR: This paper applies the delay-tolerant network model to SUVnet and proposes a new protocol, which is the distance aware epidemic routing (DAER), to improve the bundle delivery ratio and shows that DAER performs well for a VANET.
Proceedings ArticleDOI

A Distance-Based Directional Broadcast Protocol for Urban Vehicular Ad Hoc Network

TL;DR: This paper proposes a distance-based broadcast protocol called Efficient Directional Broadcast (EDB) for VANET using directional antennas and evaluates the performance of EDB based on a real mobility model generated by live GPS data of taxis in the city of Shanghai.
Proceedings ArticleDOI

DTN Routing in Vehicular Sensor Networks

TL;DR: A new DTN routing protocol for Delay-Tolerant Vehicular Sensor Networks, Packet-Oriented Routing protocol (POR), which is designed to emphasize neighbor selection based on awareness of packets to be sent and in consideration of probability to complete transferring of these packets.
Proceedings ArticleDOI

Routing in Large-Scale Buses Ad Hoc Networks

TL;DR: This paper presents BLER, a routing algorithm that achieves effective routing in a buses environment that performs routing at bus line level instead of bus level; it uses specific bus lines information to achieve good performances.