Study on similarity indices for link prediction in opportunistic networks
Link prediction aims to estimate the existence of links between nodes, using information of network structures and node properties. According to the characteristics of node mobility, node intermittent contact, and high delay of opportunistic network, novel similarity indices are constructed based on...
Main Authors: | Xulin Cai, Jian Shu, Linlan Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2018-10-01
|
Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814018803190 |
Similar Items
-
Link Prediction Approach for Opportunistic Networks Based on Recurrent Neural Network
by: Xulin Cai, et al.
Published: (2019-01-01) -
A link prediction approach based on deep learning for opportunistic sensor network
by: Jian Shu, et al.
Published: (2017-04-01) -
A Novel Link Prediction Method for Opportunistic Networks Based on Random Walk and a Deep Belief Network
by: Ziliang Liao, et al.
Published: (2020-01-01) -
A Link Quality Prediction Method for Wireless Sensor Networks Based on XGBoost
by: Yi Feng, et al.
Published: (2019-01-01) -
Opportunistic Networks Link Prediction Method Based on Bayesian Recurrent Neural Network
by: Yuliang Ma, et al.
Published: (2019-01-01)