| | 講 題 | Opportunistic Mobile Social Networks in Mobile Crowd Sensing and Computing | | | 講 者 | 國立政治大學 Tzu-Chieh Tsai, Yuan Chen, Yen-Tung Lin | | | 日 期 | 2019/09/26 | 長 度 | 00:09:52 | 人 氣 | 76 次 | | | "Mobile crowd sensing and computing (MCSC) is an emerging
technology along with the popularity of mobile devices. The
feature is that it does not require massive deploy of sensors and
infrastructure before collecting data. We utilize the concept of
Delay Tolerant Networks (DTNs) and edge computing to support
the message collection and dissemination for the MCSC. The most
challenge here is to design an efficient routing method to deliver
messages for both “upload” (data collection to edge nodes) and
“download” (data dissemination to nodes that interest) paths.
We assume that the mobile crowd nodes will like to exchange
data in a delay tolerant network (DTN) manner based on
opportunistic transmission in order to save energy and data
transmission cost. We design a new data dissemination method for
MCSC scenarios, in which users can share data with direct
wireless communication when they physically meet, or share data
in the virtual social network. Our method uses probability-based
algorithm to upload data carried by normal mobile nodes to the
edge nodes. And then for download dissemination, we use cosine
similarity to relay specific message of attributes to users who have
high interest to receive the message. In addition, we add a virtual
node, fb_node, to our overall architecture to emulate virtual social
network. We simulate the algorithm with a real trace data of
campus students called “NCCU Trace”, and compare it with other
traditional DTN routing algorithms. The performance evaluations
show the improvement of message delivery ratio and decreasing
latency and transmission overhead.
"
| | | 提 供 | TANET台灣網際網路研討會-TANET2019 | | |
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