Zhenchao Ouyang

  • Citations Per Year
Learn More
A more detailed community structure can contribute to a better understanding of the network, which can also benefit efficient routing protocols and QoS schemes designing. For an Opportunistic Network which consists of different kinds of mobile nodes, its topology changes over time. Therefore the community detection becomes more difficult than static(More)
Simulations with trace dataset and synthetic movement models are the two main methods for measuring routing protocols and QoS schemes in Opportunistic Networks. But the trace dataset cannot meet the needs of all situations and it is notoriously difficult to be collected. Traditional synthetic movement models are easy to be used, but they do not capture the(More)
Opportunistic Networks are self-organized mobile ad hoc networks. In this situation, stable end-to-end paths can hardly exist for message delivering due to the mobility of nodes, the limited radio range, energy problems, low transporting speed and other features. Routing protocols for this situation need to solve the incurred delays, unpredictable routing(More)
In this paper, we firstly present a heterogeneous probabilistic model where the contact between nodes is based on the independent differently distributed assumption. Moreover, the message spraying or forwarding follows the Gamma Distribution. Based on this model, we improve traditional spray routing scheme in Delay Tolerant Networks. Then, we compare our(More)
Intelligent recommendations about where to go will be very helpful for personal and commercial travel recommendations. We deal with this kind of recommendations as a prediction problem based on the tourist's historical visiting sequences and supervised machine learning algorithms, namely Random Forests and LambdaMART. We propose a feature set with 56(More)
  • 1