Username   Password       Forgot your password?  Forgot your username? 


A DTN Congestion Control Method based on Node Store Status

Volume 14, Number 10, October 2018, pp. 2432-2440
DOI: 10.23940/ijpe.18.10.p19.24322440

Wei Jianga,b, Huiqiang Wanga, and Chengfeng Donga

aCollege of Computer Science and Technology, Harbin Engineering University, Harbin, 150080, China
bCollege of Computer Science and Information Engineering, Harbin Normal University, Harbin, 150080, China

(Submitted on July 16, 2018; Revised on August 18, 2018; Accepted on September 12, 2018)


DTN enhances message transmission success rate and reduces message forwarding delay by increasing the number of message copies. However, a large number of redundant copies will cause nodes to be congested, which decreases the resource utilization rate of networks, resulting in low overall network performance. To address this issue, we propose a congestion control method NSS-CC, which is based on node storage status. According to the storage space utilization rate of nodes, the storage status is categorized into three states: Normal, Semi-Congested, and Congested. The node adjusts its own congestion control mechanism according to its own congestion state, in order to balance the load of the node effectively, and judges whether to receive the message by defining the Degree of Willingness (DoW). The simulation results show that NSS-CC is superior to congestion control algorithms such as DO, DF, DY, and DL.


References: 15

                1. I. F. Akyildiz, C. Chao, J. Fang, and W. L. Su, “Interplanetary Internet: State-of-the-Art and Research Challenges,” Computer Networks the International Journal of Computer & Telecommunications Networking, Vol. 43, No. 2, pp. 75-112, 2003
                2. S. Burleigh, A. Hooke, and L. Torgerson, “Delay-Tolerant Networking: An Approach to Interplanetary Internet,” IEEE Communications Magazine, Vol. 41, No. 6, pp. 128-136, 2003
                3. S. Burleigh, A. Hooke, and L. Torgerson, “Delay-Tolerant Networking Architecture,” Heise Zeitschriften Verlag, 2007
                4. K. Fall, “A Delay-Tolerant Network Architecture for Challenged Internets,” in Proceedings of ACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, pp. 27-34, 2003
                5. K. Shin and S. Kim, “Enhanced Buffer Management Policy that Utilises Message Properties for Delay-Tolerant Networks,” IET Communications, Vol. 5, No. 6, pp. 753-759, 2011
                6. D. Anzaldi, “ORWAR: A Delay-Tolerant Protocol Implemented on the Android Platform,” 2010
                7. S. Rashid, A. H. Abdullah, Q. Ayub, and M. S. M. Zahid, “Dynamic Prediction based Multi Queue (DPMQ) Drop Policy for Probabilistic Routing Protocols of Delay-Tolerant Network,” Network and Computer Applications, Vol. 36, No. 5, pp. 1395-1408, 2013
                8. H. Ye, Z. G. Chen, and M. Zhao, “ON-CRP: Cache Replacement Policy for Opportunistic Networks,” Journal on Communications, Vol. 31, No. 5, pp. 98-107, 2010
                9. D. P. Wu, J. E. Zhou, R. Y. Wang, and P. N. Zhang, “Message-Redundancy Estimating Adaptive Buffer Management Mechanism for Opportunistic Network,” Journal of Electronics & Information Technology, Vol. 34, No. 1, pp. 101-107, 2012
                10. Y. Liu, J. X. Wang, S. G. Zhang, and H. J. Zhou, “A Buffer Management Scheme based on Message Transmission Status in Delay Tolerant Networks,” in Proceedings of IEEE Global Telecommunications Conference (GLOBECOM 2011), pp. 1-5, Texas, USA, 2011
                11. D. W. Hua, X. H. Du, L. F. Cao, G. Y. Xu, and Y. B. Qian, “A DTN Congestion Avoidance Strategy based on Path Avoidance,” in Proceedings of IEEE International Conference on Future Computer and Communication, Vol. 1, pp. 855-860, 2010
                12. Z. Chen and D. Q. Feng, “BAR: Buffer Aware Transmission Policy for Resource-Constrained DTN,” Computer Engineering and Applications, Vol. 47, No. 21, pp. 28-30, 2011
                13. A. Lindgren, A. Doria, and O. Schelen, “Probabilistic Routing in Intermittently Connected Networks,” Mobile Computing and Communications Review, Vol. 7, No. 3, pp. 19-26, 2003
                14. E. Wang, Y. J. Yang, and L. Li, “Game of Life based Congestion Control Strategy in Delay Tolerant Networks,” Journal of Computer Research and Development, Vol. 51, No. 11, pp. 2393-2407, 2014
                15. J. B. Li and M. J. Xiao, “A Routing Algorithm of Delay Tolerant Network,” Science Press, 2014


                              Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

                              This site uses encryption for transmitting your passwords.