DocumentCode
1824151
Title
SARM: A Congestion Control Algorithm for DTN
Author
Wang, Chengjun ; Zhao, Baokang ; Yu, Wanrong ; Wu, Chunqing ; Gong, Zhenghu
Author_Institution
Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China
fYear
2012
fDate
4-7 Sept. 2012
Firstpage
869
Lastpage
875
Abstract
When congestion happens at the node of DTN, the regular approach is to delete the old message of these nodes in order to make memory space for the new arrival message to remove congestion. A new method for the selection of message to delete, congestion control routing algorithm based on Simulated Annealing and regional movement (SARM) are proposed in this paper. This mechanism is under the premise that node movement has the regional characteristic. The probability of node collision and transferring nodes in the message delivery are taken into account comprehensively. We quantitatively evaluate the successful probability of different messages delivered by different nodes. When node congestion happens, we choose the message with lower probability of successful delivered by two encounter nodes to delete using SARM. The experiment shows that the parameters of network are significantly improved under this congestion control routing algorithm.
Keywords
delay tolerant networks; message switching; probability; simulated annealing; telecommunication congestion control; telecommunication network routing; DTN; SARM; arrival message; congestion control routing algorithm; delay tolerant network; message delivery; node collision; probability; simulated annealing and regional movement; transferring node; Algorithm design and analysis; Delay; Feedback control; Routing; Simulated annealing; Vectors; Congestion Control; Delay-Tolerant Network (DTN); Routing; Simulated Annealing; regional;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
Conference_Location
Fukuoka
Print_ISBN
978-1-4673-3084-8
Type
conf
DOI
10.1109/UIC-ATC.2012.44
Filename
6332098
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