DTN分发网络中基于数据投递概率的拥塞控制机制

doi:10.11959/j.issn.1000-436x.2015278

Abstract

Abstract:

A congestion control mechanism based on data delivery probability (CCM-DP) was proposed to work out the decline of data delivery performance on account of data congestion in delay tolerant networks (DTN) network coding-based data dissemination process.Considering the node mobility model,data delivery probability and data congestion degree,the data delivery probability model was constructed,and the congestion control mechanism was designed from two aspects,on the one hand,by the means of adjusting the packet forwarding process,it equilibriums the data packet delivery to avoid node congestion caused by too many packets received; and on the other hand,through the design of efficient discarding strategy,it reduces the impact of packet loss caused by data congestion.Ultimately,it was put into use in data dissemination process and some simulations were taken,the simulation results show that,CCM-DP can improve data delivery performance in data congestion environment.

Key words: delay tolerant networks, data delivery probability, congestion control

Yi XIA,Guang-hong DENG. Congestion control mechanism based on data delivery probability in DTN data dissemination network[J]. Journal on Communications, 2015, 36(Z1): 22-39.

Figures/Tables 7

References 13

[1]	DENG G H , CAO W H , ZHANG J , et al. data dissemination mechanism with network coding based on ant colony algorithm in DTN Environment[J]. Acta Electronica Sinica. 2014,42(8): 1636-1641.
[2]	GRUNDY A , RADENKOVIC M . Promoting congestion control in opportunistic networks[A]. Proc of the IEEE WiMob 2010[C]. Niagara Falls, 2010. 324-330.
[3]	ZHAO G S , CHEN M . Congestion control mechanism based on accepting threshold in delay tolerant networks[J]. Journal of Software. 2013,24(1): 153-163.
[4]	COE E C , RAGHAVENDRA . Token based congestion control for DTNs[A]. Aerospace Conference[C]. 2010. 1-7.
[5]	RADENKOVIC M , GRUNDY A . Congestion aware forwarding in delay tolerant and social opportunistic networks[A]. Proc of the WONS 2011[C]. 60-67.
[6]	DENG G H , CAO W H , ZHANG J , et al. Mobility model detection method based on birth and death model in DTN environment[J]. Journal of Software. 2015,36(1): 2015007-1-2015007-11.
[7]	JEMIE L , TIMUR F , VANIA C . DTN routing in a mobility pattern space[A]. SIGCOMM’05[C]. Philadelphia,USA, 2005.
[8]	PENG M . Research on Mobility Mode1 and Routing in Delay Tolerant Network[D]. University of Science and Technology of China, 2010.
[9]	WU L , WANG X M , LIU M , et al. Group mobility adaptive event delivery scheme for delay tolerant mobile sensor networks[J]. Journal of Software, 2012,23(3): 629-647.
[10]	YUAN Y , PENG Y , XING L S , et al. Efficient heuristic algorithm for the mobile sink routing problem[J]. Journal on Communications, 2011,32(10): 107-117.
[11]	CAI Q S , NIU J W , LIU M Z . Method for identifying node dissemination capability in opportunistic social networks[J]. Journal of Software, 2012,23(Suppl(1)): 49-58.
[12]	DENG G H , CAO W H , ZHANG J , et al. Method of dynamic random network coding in DTN environment[J]. Journal on Communications, 2014,35(2): 76-86.
[13]	ARI K,J?RG O , TEEMU K . The ONE simulator for DTN protocol evaluation[A]. SIMUTools 2009[C]. Rome,Italy, 2009.

Metrics

Recommended 0

No Suggested Reading articles found!

源节点	信宿
源节点	节点u	节点v
节点4	p_4u	P_4v
节点3	p₃₄p_4u	p₃₄p_4v
节点2	p₂₃p₃₄p_4u	P_2v+p₂₃p₃₄p_4v
节点1	P_1u+p₁₃p₃₄p_4u	p₁₃p₃₄p_4v
节点S	p_s1(p_1u+p₁₃p₃₄p_4u)+p_s2p₂₃p₃₄p_4u	p_s1p₁₃p₃₄p_4v+p_s2(p2v+p₂₃p₃₄p_4v)

配置项	说明	数值
Scenario.nrofHostGroups	节点分组个数	4
Scenario.transType	数据传输方式	DRNC
Events.size	消息数据分组大小	500 KB,1 MB
Group1.movementModel	组1节点移动模型	MapRouteMovement
Group1.bufferSize	组1节点缓存大小	5 MB
Group2.movementModel	组1节点移动模型	MapRouteMovement
Group2.bufferSize	组2节点缓存大小	20 MB
Group3.movementModel	组2节点移动模型	MapRouteMovement
Group3.bufferSize	组2节点缓存大小	10 MB
Group4.movementModel	组3节点移动模型	RandomWaypoint
Group4.bufferSize	组3节点缓存大小	100 MB

[1]	Zhu WANG,Qingyun YUAN,Fanfan HAO,Liang FANG,Fenghua LI. Multipath congestion control algorithm based on link capacity [J]. Journal on Communications, 2020, 41(5): 59-71.
[2]	Guozhen TAN,Guodong HAN,Fuxin ZHANG,Nan DING,Mingjian LIU. Distributed congestion control strategy using network utility maximization theory in VANET [J]. Journal on Communications, 2019, 40(2): 82-91.
[3]	Nan DING,Tao LIN,Cai-xia SONG,Guo-zhen TAN. Requirements-driven and multi-homed-based multipath TCP congestion control algorithm for vehicular network [J]. Journal on Communications, 2016, 37(7): 96-106.
[4]	Ming-jian LIU,Guo-zhen TAN,Shuai-bing LI,Nan DING,Cai-xia SONG. Adaptive message sending rate control method based on channel congestion cost calculation in VANET [J]. Journal on Communications, 2016, 37(10): 108-116.
[5]	cheng YANHong,jun ZHANGQing,Yong SUN. On congestion control strategy for space delay/disruption tolerant networks [J]. Journal on Communications, 2016, 37(1): 142-150.
[6]	Geng-ming ZHU,Zhi-qiang WANG,Zhe-tao LI,Ren-fa LI. Local congestion control algorithm with fair channel allocation [J]. Journal on Communications, 2015, 36(4): 9-18.
[7]	Bo TIAN,Yi-min YANG,Shu-ting CAI. Semi-Markov decision process based congestion control algorithm for video transmission [J]. Journal on Communications, 2014, 35(8): 154-161.
[8]	. Semi-Markov decision process based congestion control algorithm for video transmission [J]. Journal on Communications, 2014, 35(8): 19-161.
[9]	. Congestion control mechanism in VANET for safety messaging [J]. Journal on Communications, 2014, 35(5): 18-140.
[10]	Jian SUN,Hong-zhi LI,Ling-bo GUO,Sheng-lai CHEN. Congestion control mechanism in VANET for safety messaging [J]. Journal on Communications, 2014, 35(5): 134-140.
[11]	. Performance evaluation of TCP congestion control algorithms in fast long distance network [J]. Journal on Communications, 2014, 35(4): 10-90.
[12]	Guo-dong WANG,Yong-mao REN,Jun LI. Performance evaluation of TCP congestion control algorithms in fast long distance network [J]. Journal on Communications, 2014, 35(4): 81-90.
[13]	. Analysis and survey of resource management on modern data center networks [J]. Journal on Communications, 2014, 35(2): 21-181.
[14]	ENGGang D,Zheng-hu GONG,Hong WANG,Lin CHEN,Zhi-hong LIU. Analysis and survey of resource management on modern data center networks [J]. Journal on Communications, 2014, 35(2): 166-181.
[15]	Zu-xi WANG,Zhao-zhang DENG,Li LI. Fair and efficient network congestion control algorithm based on minority game with local information [J]. Journal on Communications, 2014, 35(1): 148-155.

Congestion control mechanism based on data delivery probability in DTN data dissemination network

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 13

Related Articles 15

Metrics

Recommended 0