TY - GEN
T1 - A contact prediction method for DTNs based on BP artificial neural network
AU - Wang, Haiquan
AU - Yang, Ying
AU - Hu, Yifeng
AU - Li, Zexi
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/26
Y1 - 2014/9/26
N2 - Predicting the contact of the nodes in Delay Tolerant Networks (DTNs) helps to determine the next node of a data package and choose an appropriate transfer opportunity. The existing contact prediction methods mainly divide into two types, model-based methods and history-based methods. The model-based methods always need the location, velocity and direction of nodes which are difficult to obtain. So, this kind of methods can only suit one particular scenario, which don't have good adaptability. The history-based methods all consider the future contact has a linear correlation with the history contact, but in fact the future contact of nodes is also influenced by nodes' position, velocity, direction and other factors, in this way, the future contact shouldn't have a linear correlation with the history contact. In this paper, a contact prediction method for DTNs based on BP artificial neural network is proposed which uses BP neural network to predict the future contact of two nodes. This method includes two parts: discretization of time and design of BP neural network. The results show that this method can predict the future contact of two nodes more accurately than existing PROPHET.
AB - Predicting the contact of the nodes in Delay Tolerant Networks (DTNs) helps to determine the next node of a data package and choose an appropriate transfer opportunity. The existing contact prediction methods mainly divide into two types, model-based methods and history-based methods. The model-based methods always need the location, velocity and direction of nodes which are difficult to obtain. So, this kind of methods can only suit one particular scenario, which don't have good adaptability. The history-based methods all consider the future contact has a linear correlation with the history contact, but in fact the future contact of nodes is also influenced by nodes' position, velocity, direction and other factors, in this way, the future contact shouldn't have a linear correlation with the history contact. In this paper, a contact prediction method for DTNs based on BP artificial neural network is proposed which uses BP neural network to predict the future contact of two nodes. This method includes two parts: discretization of time and design of BP neural network. The results show that this method can predict the future contact of two nodes more accurately than existing PROPHET.
KW - BP artificial neural network
KW - contact prediction
KW - Delay Tolerant Networks
KW - history contact
UR - https://www.scopus.com/pages/publications/84936759078
U2 - 10.1109/ICIS.2014.6912104
DO - 10.1109/ICIS.2014.6912104
M3 - 会议稿件
AN - SCOPUS:84936759078
T3 - 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings
SP - 39
EP - 44
BT - 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, ICIS 2014 - Proceedings
A2 - Han, Yan
A2 - Song, Wenai
A2 - Xu, Simon
A2 - Chen, Lichao
A2 - Lee, Roger
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2014
Y2 - 4 June 2014 through 6 June 2014
ER -