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The UDWN Challenges and Opportunities Lectured by Dr. Antonios Argyriou from the University of Thessaly
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Update time: 2014/07/17
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Invited by the High Performance Network Laboratory (HPNL), IOA, Dr. Antonios Argyriou from the University of Thessaly, Greece, visited IOA on July 8. Antonios made an academic report titled "Challenges and Opportunities in Ultra-Dense and Massively Deployed Wireless Networks". About 30 researchers and students from IOA attended this academic report, hosted by HPNL Director CI Song.

Antonios introduced what the Ultra-Dense Wireless Networks (UDWN) was and its characteristics. In the future, every object will have a wireless connection, hence leading to trillions of connected devices, which constitutes the UDWN. The UDWN is usually distributed, heterogeneous and dynamic. These characteristics make the performing of the network optimization for the UDWN very hard and complex.

In the following, Antonios shared his researches for the UDWN network optimization, for example, utilizing one or more nodes that overheard the collision forwards the collided packet to the destination. Meanwhile, Antonios summarized the characteristics for the information transmitted in the UDWN: Collected information from sensors in dense wireless networks may be correlated (uplink direction); for data not originated from sensors there might be re-used across the nodes (downlink direction). Finally, some specific examples taking advantages of these characteristics were shown.

After his report, questions like how to transmit the video data reliably and efficiently over the UDWN were discussed.

(Source: ZHAO Pinghua from the High Performance Network Laboratory)

 
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