Lightweight opportunistic routing forwarding strategy based on Markov chain

A lightweight opportunistic routing forwarding strategy (MOR) was proposed based on Markov chain.In the scheme,the execute process of network was divided into a plurality of equal time period,and the random encounter state of node in each time period was represented by activity degree.The state sequ...

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Main Authors: Feng LI, Ya-li SI, Zhen CHEN, Li-min SHEN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-05-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017105/
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author Feng LI
Ya-li SI
Zhen CHEN
Li-min SHEN
author_facet Feng LI
Ya-li SI
Zhen CHEN
Li-min SHEN
author_sort Feng LI
collection DOAJ
description A lightweight opportunistic routing forwarding strategy (MOR) was proposed based on Markov chain.In the scheme,the execute process of network was divided into a plurality of equal time period,and the random encounter state of node in each time period was represented by activity degree.The state sequence of a plurality of continuous time period constitutes a discrete Markov chain.The activity degree of encounter node was estimated by Markov model to predict its state of future time period,which can enhance the accuracy of activity degree estimation.Then,the method of comprehensive evaluating forwarding utility was designed based on the activity degree of node and the average encounter interval.MOR used the utility of node for making a routing forwarding decision.Each node only maintained a state of last time period and a state transition probability matrix,and a vector recording the average encounter interval of nodes.So,the routing forwarding decision algorithm was simple and efficient,low time and space complexity.Furthermore,the method was proposed to set optimal number of the message copy based on multiple factors,which can effectively balance the utilization of network resources.Results show that compared with existing algorithms,MOR algorithm can effectively increase the delivery ratio and reduce the delivery delay,and lower routing overhead ratio.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2017-05-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-cfd90d5c306a4098836295b0f0a2bd762025-01-14T07:12:24ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-05-013810812059710304Lightweight opportunistic routing forwarding strategy based on Markov chainFeng LIYa-li SIZhen CHENLi-min SHENA lightweight opportunistic routing forwarding strategy (MOR) was proposed based on Markov chain.In the scheme,the execute process of network was divided into a plurality of equal time period,and the random encounter state of node in each time period was represented by activity degree.The state sequence of a plurality of continuous time period constitutes a discrete Markov chain.The activity degree of encounter node was estimated by Markov model to predict its state of future time period,which can enhance the accuracy of activity degree estimation.Then,the method of comprehensive evaluating forwarding utility was designed based on the activity degree of node and the average encounter interval.MOR used the utility of node for making a routing forwarding decision.Each node only maintained a state of last time period and a state transition probability matrix,and a vector recording the average encounter interval of nodes.So,the routing forwarding decision algorithm was simple and efficient,low time and space complexity.Furthermore,the method was proposed to set optimal number of the message copy based on multiple factors,which can effectively balance the utilization of network resources.Results show that compared with existing algorithms,MOR algorithm can effectively increase the delivery ratio and reduce the delivery delay,and lower routing overhead ratio.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017105/opportunistic networkMarkov chainactivity degreeaverage encounter intervalmessage copy
spellingShingle Feng LI
Ya-li SI
Zhen CHEN
Li-min SHEN
Lightweight opportunistic routing forwarding strategy based on Markov chain
Tongxin xuebao
opportunistic network
Markov chain
activity degree
average encounter interval
message copy
title Lightweight opportunistic routing forwarding strategy based on Markov chain
title_full Lightweight opportunistic routing forwarding strategy based on Markov chain
title_fullStr Lightweight opportunistic routing forwarding strategy based on Markov chain
title_full_unstemmed Lightweight opportunistic routing forwarding strategy based on Markov chain
title_short Lightweight opportunistic routing forwarding strategy based on Markov chain
title_sort lightweight opportunistic routing forwarding strategy based on markov chain
topic opportunistic network
Markov chain
activity degree
average encounter interval
message copy
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017105/
work_keys_str_mv AT fengli lightweightopportunisticroutingforwardingstrategybasedonmarkovchain
AT yalisi lightweightopportunisticroutingforwardingstrategybasedonmarkovchain
AT zhenchen lightweightopportunisticroutingforwardingstrategybasedonmarkovchain
AT liminshen lightweightopportunisticroutingforwardingstrategybasedonmarkovchain