An Efficient Transmission Method for Bulk Data Based on Network Coding in Delay Tolerant Network

2015 ◽  
Author(s):  
Wancheng Chen ◽  
YueBin Bai ◽  
Jiaojiao Liang ◽  
Wenjia Liu ◽  
Rui Wang ◽  
...  
Keyword(s):  
Network Coding ◽  
Delay Tolerant Network ◽  
Transmission Method ◽  
Bulk Data ◽  
Delay Tolerant ◽  
Efficient Transmission

scholarly journals Data Publish/Subscribe with Network Coding in DTN

2016 ◽  
Vol 12 (06) ◽  
pp. 51
Author(s):  
Xia Yi ◽  
Deng Guanghong
Keyword(s):  
Network Coding ◽  
Ant Colony Algorithm ◽  
Random Network ◽  
Large Data ◽  
Network Capacity ◽  
Delay Tolerant Network ◽  
Delivery Performance ◽  
Coding Method ◽  
Delay Tolerant ◽  
Working Out

A data Publish/Subscribe method with network coding (DPS-NC) used in delay tolerant network is proposed. Based on the publish/subscribe mechanism, the topic data were encoded and transmit with random network coding method, which can take full advantage of the network capacity to multicast. At the same time, for working out the problem of large data redundancy and vast invalid de-liveries in the network coding broadcast process, a packet routing scheme based on ant colony algorithm was brought. In the end, some simulation experiments are carried out and results show that the DPS-NC method can get better delivery performance.

Delay Analysis of Underground Communication Using Network Coding

2014 ◽  
Vol 1014 ◽  
pp. 351-354
Author(s):  
Mo Liang ◽  
Chen Wang
Keyword(s):  
Network Coding ◽  
Mobility Model ◽  
Delay Tolerant Network ◽  
Delay Analysis ◽  
Analysis Method ◽  
Delay Performance ◽  
Delivery Delay ◽  
Network State ◽  
Underground Communication ◽  
Delay Tolerant

Underground communication system can be organized as a delay tolerant network (DTN), where delay analysis is of importance. In this paper, we derive the analysis method of block delivery delay in underground DTN using network coding. Unlike existing works that only use the contact-based model, we adopt the random walk on 2-D grid model as our mobility model. We define the innovativeness of a node as the number of new packet it can bring to the destination and derive the network state dynamics based on this definition. The simulations show that our analytic approach has better prediction to the delay performance.

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