Simulating fixed virtual nodes for adapting wireline protocols to MANET
Name
Wu-2009-Simulating fixed virtual nodes for adapting wireline protocols to MANET.pdf
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206.72 KB
Format
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Checksum (MD5)
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Author(s)
Wu, Jiang
Griffeth, Nancy
Droms, Ralph
Lynch, Nancy A.
Newport, Calvin Charles
Date Issued
August 2009
Journal
Eighth IEEE International Symposium on Network Computing and Applications, 2009. NCA 2009.
Publisher
Institute of Electrical and Electronics Engineers
Citation
Jiang Wu et al. “Simulating Fixed Virtual Nodes for Adapting Wireline Protocols to MANET.” Network Computing and Applications, 2009. NCA 2009. Eighth IEEE International Symposium on. 2009. 12-19. © 2009 IEEE
Version
Final published version
Abstract
The virtual node layer (VNLayer) is a programming abstraction for mobile ad hoc networks (MANETs). It defines simple virtual servers at fixed locations in a network, addressing a central problem for MANETs, which is the absence of fixed infrastructure. Advantages of this abstraction are that persistent state is maintained in each region, even when mobile nodes move or fail, and that simple wireline protocols can be deployed on the infrastructure, thereby taming the difficulties inherent in MANET setting. The major disadvantage is the messaging overhead for maintaining the persistent state. In this paper, we use simulation to determine the magnitude of the messaging overhead and the impact on the performance of the protocol. The overhead of maintaining the servers and the persistent state is small in bytes, but the number of messages required is relatively large. In spite of this, the latency of address allocation is relatively small and almost all mobile nodes have an address for 99 percent of their lifetime. Our ns-2 based simulation package (VNSim) implements the VNLayer using a leader-based state replication strategy to emulate the virtual nodes. VNSim efficiently simulates a virtual node system with up to a few hundred mobile nodes. VNSim can be used to simulate any VNLayer-based application.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1109/NCA.2009.34
