Congestion management in delay tolerant networks

In delay tolerant networks, custody transfer can provide certain degree of reliability as a custodian node cannot discard a message unless its life time expires or the custody is transferred to another node after a commitment. This creates a challenging decision making problem at a node in determining whether to accept a custody transfer: on one hand, it is beneficial to accept a large number of messages as it can potentially advance the messages toward their ultimate destinations and network utilization can be maximized; on the other hand, if the receiving node over-commits itself by accepting too many messages, it may find itself setting aside an excessive amount of storage and thereby preventing itself from receiving further potentially important, high yield (in terms of network utilization) messages. To solve this problem, in this paper, we apply the concept of revenue management, and employ dynamic programming to develop a congestion management strategy for delay tolerant networks. For a class of network utility functions, we show that the optimal solution is completely distributed in nature where only the local information such as available storage space of a node is required. This is particularly important given the nature of delay tolerant networks where global information is often not available and the network is inherently dynamic. Our simulation results show that the proposed congestion management scheme is effective in avoiding congestion and balancing network load among the nodes.

[1]  Ellen W. Zegura,et al.  Message ferry route design for sparse ad hoc networks with mobile nodes , 2006, MobiHoc '06.

[2]  Jie Wu,et al.  Scalable routing in delay tolerant networks , 2007, MobiHoc '07.

[3]  R. Srikant,et al.  Optimal Delay-Throughput Trade-offs in Mobile Ad-Hoc Networks: Hybrid Random Walk and One-Dimensional Mobility Models , 2007, ArXiv.

[4]  Kevin C. Almeroth,et al.  Transport Layer Issues in Delay Tolerant Mobile Networks , 2006, Networking.

[5]  David Tse,et al.  Mobility increases the capacity of ad hoc wireless networks , 2002, TNET.

[6]  Hongyi Wu,et al.  Delay/Fault-Tolerant Mobile Sensor Network (DFT-MSN): A New Paradigm for Pervasive Information Gathering , 2007, IEEE Transactions on Mobile Computing.

[7]  K. Psounis,et al.  Efficient Routing in Intermittently Connected Mobile Networks: The Single-Copy Case , 2008, IEEE/ACM Transactions on Networking.

[8]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Vol. II , 1976 .

[9]  V. Rodoplu,et al.  Traffic Allocation in Delay-Tolerant Wireless Ad Hoc Networks , 2006, 2006 Wireless Telecommunications Symposium.

[10]  Kevin R. Fall,et al.  Alternative custodians for congestion control in delay tolerant networks , 2006, CHANTS '06.

[11]  Ellen W. Zegura,et al.  A message ferrying approach for data delivery in sparse mobile ad hoc networks , 2004, MobiHoc '04.

[12]  K. Talluri,et al.  The Theory and Practice of Revenue Management , 2004 .

[13]  Jie Wu,et al.  Logarithmic Store-Carry-Forward Routing in Mobile Ad Hoc Networks , 2007, IEEE Transactions on Parallel and Distributed Systems.

[14]  Kevin R. Fall,et al.  A delay-tolerant network architecture for challenged internets , 2003, SIGCOMM '03.

[15]  Baruch Awerbuch,et al.  A cost-benefit flow control for reliable multicast and unicast in overlay networks , 2005, IEEE/ACM Transactions on Networking.

[16]  Oliver Brock,et al.  MORA routing and capacity building in disruption-tolerant networks , 2008, Ad Hoc Networks.

[17]  Esther Jennings,et al.  Autonomous Congestion Control in Delay-Tolerant Networks , 2006 .