Jiannong Cao

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Jiannong Cao
曹建农
Alma materWashington State University, Nanjing University
Scientific career
InstitutionsThe Hong Kong Polytechnic University
Website https://www.comp.polyu.edu.hk/~csjcao/

Jiannong Cao is a Hong Kong computer scientist researching distributed computing, parallel computing, pervasive computing, mobile computing, and wireless networking. [1] He is an IEEE fellow, [2] the chair professor at Department of Computing, Faculty of Engineering at Hong Kong Polytechnic University. [3] He was the head of Department of Computing at Hong Kong Polytechnic University. He is also the director of PolyU Internet and Mobile Computing Lab. [3]

Cao is the author of many books about computer science, including "Parallel and Distributed Processing and Applications" [4] and "Wireless Sensor Networks for Structural Health Monitoring". [5]

Related Research Articles

Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind.

A wireless ad hoc network (WANET) or mobile ad hoc network (MANET) is a decentralized type of wireless network. The network is ad hoc because it does not rely on a pre-existing infrastructure, such as routers or wireless access points. Instead, each node participates in routing by forwarding data for other nodes. The determination of which nodes forward data is made dynamically on the basis of network connectivity and the routing algorithm in use.

Distributed GIS refers to GI Systems that do not have all of the system components in the same physical location. This could be the processing, the database, the rendering or the user interface. It represents a special case of distributed computing, with examples of distributed systems including Internet GIS, Web GIS, and Mobile GIS. Distribution of resources provides corporate and enterprise-based models for GIS. Distributed GIS permits a shared services model, including data fusion based on Open Geospatial Consortium (OGC) web services. Distributed GIS technology enables modern online mapping systems, Location-based services (LBS), web-based GIS and numerous map-enabled applications. Other applications include transportation, logistics, utilities, farm / agricultural information systems, real-time environmental information systems and the analysis of the movement of people. In terms of data, the concept has been extended to include volunteered geographical information. Distributed processing allows improvements to the performance of spatial analysis through the use of techniques such as parallel processing.

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<span class="mw-page-title-main">Transition (computer science)</span>

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References

  1. "Jiannong Cao - Google Scholar Citations". scholar.google.com. Retrieved 1 April 2017.
  2. "Keynote Talks | IEEE/ACM BDCAT 2016". computing.derby.ac.uk. Retrieved 1 April 2017.
  3. 1 2 "Prof. CAO Jiannong - PolyU COMP". PolyU COMP. Retrieved 1 April 2017.
  4. Parallel and Distributed Processing and Applications - Second | Jiannong Cao | Springer.
  5. Wireless Sensor Networks for Structural Health Monitoring | Jiannong Cao | Springer.