DocumentCode
171759
Title
Leveraging routing performance and congestion avoidance in predictable delay tolerant networks
Author
Fraire, J.A. ; Madoery, P. ; Finochietto, J.M.
Author_Institution
Digital Commun. Res. Lab., Univ. Nac. de Cordoba, Cordoba, Argentina
fYear
2014
fDate
30-31 Oct. 2014
Firstpage
1
Lastpage
7
Abstract
Delay or Disruption Tolerant Network (DTN) architecture has become a promising solution for challenged environments where communications cannot be assumed persistent. In particular, if node dynamics can be predicted like in space-borne networks, routing schemes such as Merugu´s Floyd Warshsall (MFW) and Contact Graph Routing (CGR) can take advantage of the a priori knowledge of the DTN topology. In this work we compare and leverage these popular schemes and propose Cache-CGR: a computationally efficient version of CGR that reduce processing requirements while preserving its features such as local congestion avoidance. We demonstrate the performance gain of C-CGR both by means of simulation and an on-board computer test-bench with Interplanetary Overlay Network (ION) DTN implementation. Finally, we discuss CGR open issues and lay the foundations for future research on DTN global congestion avoidance mechanisms.
Keywords
delay tolerant networks; network theory (graphs); overlay networks; telecommunication congestion control; telecommunication network routing; telecommunication network topology; C-CGR; DTN topology; ION; cache-CGR; computationally efficient version; congestion avoidance; contact graph routing; delay tolerant network; interplanetary overlay network; leveraging routing performance; on-board computer test-bench; Complexity theory; Databases; Low earth orbit satellites; Network topology; Nickel; Routing; Topology; Congestion Avoidance; Contact Graph Routing; Delay Tolerant Networks; Merugu´s Floyd Warshall;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless for Space and Extreme Environments (WiSEE), 2014 IEEE International Conference on
Conference_Location
Noordwijk
Type
conf
DOI
10.1109/WiSEE.2014.6973079
Filename
6973079
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