DocumentCode
3321895
Title
Probability Delegation Forwarding in Delay Tolerant Networks
Author
Chen, Jian ; Jian Shen ; Groves, Taylor ; Wu, Jie
Author_Institution
Dept. of Comp. Sci., Texas State Univ., San Marcos, TX, USA
fYear
2009
fDate
3-6 Aug. 2009
Firstpage
1
Lastpage
6
Abstract
Delay tolerant networks are a type of wireless mobile networks that do not guarantee the existence of a path between a source and a destination at any time. In such a network, one of the critical issues is to reliably deliver data with a low latency. Naive forwarding approaches, such as flooding and its derivatives, make the routing cost (here defined as the number of copies duplicated for a message) very high. Many efforts have been made to reduce the cost while maintaining performance. Recently, an approach called delegation forwarding (DF) caught significant attention in the research community because of its simplicity and good performance. In a network with N nodes, it reduces the cost to O(radic(N)) which is better than O(N) in other methods. In this paper, we extend the DF algorithm by putting forward a new scheme called probability delegation forwarding (PDF) that can further reduce the cost to O(Nlog 2+2p (1+p)), p isin (0, 1). Simulation results show that PDF can achieve similar delivery ratio, which is the most important metric in DTNs, as the DF scheme at a lower cost if p is not too small. In addition, we propose the threshold probability delegation forwarding (TPDF) scheme to close the latency gap between the DF and PDF schemes.
Keywords
mobile communication; probability; telecommunication network routing; wireless sensor networks; delay tolerant networks; forwarding algorithms; probability delegation forwarding; wireless mobile networks; Buffer storage; Costs; Delay effects; Disruption tolerant networking; Floods; Frequency; Maintenance; Monitoring; Routing; Spread spectrum communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on
Conference_Location
San Francisco, CA
ISSN
1095-2055
Print_ISBN
978-1-4244-4581-3
Electronic_ISBN
1095-2055
Type
conf
DOI
10.1109/ICCCN.2009.5235229
Filename
5235229
Link To Document