Optimal forwarding policy in opportunistic based on social features of nodes

A forwarding model of opportunistic network was established based on social features of node and by introducing the Pontryagin’s maximal principle,the optimal policy was got,which obeyed the threshold form.Let h denotes the stop time,when t<h,nodes forward the messages with the maximum probabilit...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhi-fei WANG, Pei-teng SHI, Su DENG, Hong-bin HUANG, Ya-hui WU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-06-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016126/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841539584578551808
author Zhi-fei WANG
Pei-teng SHI
Su DENG
Hong-bin HUANG
Ya-hui WU
author_facet Zhi-fei WANG
Pei-teng SHI
Su DENG
Hong-bin HUANG
Ya-hui WU
author_sort Zhi-fei WANG
collection DOAJ
description A forwarding model of opportunistic network was established based on social features of node and by introducing the Pontryagin’s maximal principle,the optimal policy was got,which obeyed the threshold form.Let h denotes the stop time,when t<h,nodes forward the messages with the maximum probability,when t>h,the node stops sending messages.Experiments show that the optimal strategy is better than optimal static policy.Further analysis show that the bigger the average number of friends of node is,the smaller the stopping time is,the better the performance is.
format Article
id doaj-art-6d4441673b4149b0a1e8b20e725dd7d6
institution Kabale University
issn 1000-436X
language zho
publishDate 2016-06-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-6d4441673b4149b0a1e8b20e725dd7d62025-01-14T06:55:40ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-06-013716316859701835Optimal forwarding policy in opportunistic based on social features of nodesZhi-fei WANGPei-teng SHISu DENGHong-bin HUANGYa-hui WUA forwarding model of opportunistic network was established based on social features of node and by introducing the Pontryagin’s maximal principle,the optimal policy was got,which obeyed the threshold form.Let h denotes the stop time,when t<h,nodes forward the messages with the maximum probability,when t>h,the node stops sending messages.Experiments show that the optimal strategy is better than optimal static policy.Further analysis show that the bigger the average number of friends of node is,the smaller the stopping time is,the better the performance is.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016126/opportunistic networksocial featureoptimal controlenergy constraint
spellingShingle Zhi-fei WANG
Pei-teng SHI
Su DENG
Hong-bin HUANG
Ya-hui WU
Optimal forwarding policy in opportunistic based on social features of nodes
Tongxin xuebao
opportunistic network
social feature
optimal control
energy constraint
title Optimal forwarding policy in opportunistic based on social features of nodes
title_full Optimal forwarding policy in opportunistic based on social features of nodes
title_fullStr Optimal forwarding policy in opportunistic based on social features of nodes
title_full_unstemmed Optimal forwarding policy in opportunistic based on social features of nodes
title_short Optimal forwarding policy in opportunistic based on social features of nodes
title_sort optimal forwarding policy in opportunistic based on social features of nodes
topic opportunistic network
social feature
optimal control
energy constraint
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016126/
work_keys_str_mv AT zhifeiwang optimalforwardingpolicyinopportunisticbasedonsocialfeaturesofnodes
AT peitengshi optimalforwardingpolicyinopportunisticbasedonsocialfeaturesofnodes
AT sudeng optimalforwardingpolicyinopportunisticbasedonsocialfeaturesofnodes
AT hongbinhuang optimalforwardingpolicyinopportunisticbasedonsocialfeaturesofnodes
AT yahuiwu optimalforwardingpolicyinopportunisticbasedonsocialfeaturesofnodes