Fusang Zhang

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The different types of applications in VANETs impose diversified traffic loads. Although multi-channel operations are applied in the MAC layer to improve throughput and potentially reduce the latency, the existing multi-channel approaches show some limitations to meet the changing demands of applications. In this paper, we present an adaptive channel(More)
Bus networks in cities have distinctive features such as wide coverage and fixed bus routes so that they show the potential of forming the communication backbone in vehicular ad hoc networks (VANETs). This paper focuses on the geocast in bus-based VANETs and presents a geocast routing mechanism named Vela. Specifically, Vela analyzes and mines historical(More)
Low delivery latency and high delivery ratio are two key goals in the design of routing schemes in Vehicular Ad Hoc Networks (VANETs). The existing routing schemes utilize real-time information (e.g., Geographical position and vehicle density) and historical information (e.g., Contacts of vehicles), which usually suffer from a long delivery latency and a(More)
Pub/Sub systems over VANETs can be employed to disseminate information in terms of events to vehicle users who desire the information. This paper describes the design, implementation, and evaluation of APUS, a content-based Pub/Sub system for VANETs. APUS can handle the subscriptions with complicated spatial-temporal constraints and forward the(More)
With the aid of ubiquitous sensors/devices and pervasive networks, various types of multi-source data in the form of texts, videos, pictures, audios, etc. can be collected. They can be applied to detecting the traffic conditions. For highways, it has inevitable inherent defects in detecting traffic conditions by analyzing data from a single source or user(More)
The newly emerging location-based social networks (LBSN) such as Tinder and Momo extends social interaction from friends to strangers, providing novel experiences of making new friends. Familiar strangers refer to the strangers who meet frequently in daily life and may share common interests; thus they may be good candidates for friend recommendation. In(More)