2019 journal article

Facile Synthesis of Pt Icosahedral Nanocrystals with Controllable Sizes for the Evaluation of Size-Dependent Activity toward Oxygen Reduction

CHEMCATCHEM, 11(10), 2458–2463.

By: M. Zhao*, J. Holder n, Z. Chen*, M. Xie*, Z. Cao*, M. Chi*, Y. Xia*

author keywords: platinum; icosahedra; oxygen reduction; electrocatalyst; size control
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: July 8, 2019

2013 journal article

Internode Mobility Correlation for Group Detection and Analysis in VANETs

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 62(9), 4590–4601.

By: Y. Li n, M. Zhao n & W. Wang n

author keywords: Correlated mobility; group detection; vehicular ad hoc networks
TL;DR: A new metric, i.e., dual-locality ratio (DLR), is introduced, which quantifies mobility correlation of nodes and can be used to effectively identify stable user groups, which in turn could be used for network performance enhancement. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2011 conference paper

Intermittently connected vehicle-to-vehicle networks: Detection and analysis

2011 ieee global telecommunications conference (globecom 2011).

By: Y. Li n, M. Zhao n & W. Wang n

TL;DR: This paper observes that mobility of vehicle shows temporal locality similarity and introduces a new metric, namely \emph{dual locality ratio} (DLR), which represents the mobility correlation of vehicles, and demonstrates applications of DLR for improving performances of data forwarding and clustering in vehicle-to-vehicle networks. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2009 journal article

A unified mobility model for analysis and simulation of mobile wireless networks

WIRELESS NETWORKS, 15(3), 365–389.

By: M. Zhao n & W. Wang n

author keywords: Mobility model; Smooth movement; Semi-Markov process; Stochastic analysis; Network performance evaluation; Mobile wireless networks
TL;DR: This model is proved to be smooth and steady because there is no speed decay problem for arbitrary starting speed, while maintaining uniform spatial node distribution regardless of node placement, and can be easily and flexibly applied for simulating node mobility in wireless networks. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2006 conference paper

A novel semi-Markov smooth mobility model for mobile ad hoc networks.

Globecom 2006 - 2006 ieee global telecommunications conference.

By: M. Zhao n & W. Wang n

TL;DR: Through steady state analysis, it is demonstrated that SMS model has no average speed decay problem and always maintains a uniform spatial node distribution. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

conference paper

Joint effects of radio channels and node mobility on link dynamics in wireless networks

Wang, W. Y., & Zhao, M. 27th ieee conference on computer communications (infocom), vols 1-5, 1606–1614.

By: W. Wang & M. Zhao

Source: NC State University Libraries
Added: August 6, 2018

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