@article{zhang_dai_zhang_huang_2016, title={Mobile Conductance in Sparse Networks and Mobility-Connectivity Tradeoff}, volume={15}, ISSN={["1558-2248"]}, DOI={10.1109/twc.2015.2513776}, abstractNote={In this paper, our recently proposed mobile-conductance based analytical framework is extended to the sparse settings, thus offering a unified tool for analyzing information spreading in mobile networks. A penalty factor is identified for information spreading in sparse networks as compared to the connected scenario, which is then intuitively interpreted and verified by simulations. With the analytical results obtained, the mobility-connectivity tradeoff is quantitatively analyzed to determine how much mobility may be exploited to make up for network connectivity deficiency.}, number={4}, journal={IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS}, author={Zhang, Huazi and Dai, Huaiyu and Zhang, Zhaoyang and Huang, Yufan}, year={2016}, month={Apr}, pages={2954–2965} }
 @article{zhang_zhang_dai_2013, title={Gossip-Based Information Spreading in Mobile Networks}, volume={12}, ISSN={["1558-2248"]}, DOI={10.1109/twc.2013.100113.130619}, abstractNote={In this paper, we analyze the effect of mobility on information spreading in geometric networks through natural random walks. Specifically, our focus is on epidemic propagation via mobile gossip, a variation from its static counterpart. Our contributions are twofold. Firstly, we propose a new performance metric, mobile conductance, which allows us to separate the details of mobility models from the study of mobile spreading time. Secondly, we utilize geometrical properties to explore this metric for several popular mobility models, and offer insights on the corresponding results. Large scale network simulation is conducted to verify our analysis.}, number={11}, journal={IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS}, author={Zhang, Huazi and Zhang, Zhaoyang and Dai, Huaiyu}, year={2013}, month={Nov}, pages={5918–5928} }