Affiliation:
1. University of Illinois at Urbana-Champaign, Urbana, IL
Abstract
A major problem with leveraging event-driven, packet-level simulation environments, such as
ns2
[6],
J-Sim
[1],
OpNet
[2]), and
QualNet
[3]), in conducting wireless network simulation is the vast number of events generated, a majority of which are related to signal transmission in the PHY/MAC layers.In this extended abstract, we investigate the operations of signal transmission in the various stages:
signal propagation
,
signal interference
, and
interaction with the PHY/MAC layers
, and identify where events can be reduced without impairing the accuracy. We propose to leverage the MAC/PHY state information, and devise (from the perspective of network simulation) a reactive channel model (RCM) in which nodes explicitly
register
their interests in receiving certain events according to the MAC/PHY states they are in and the corresponding operations that should be performed. The simulation study indicates that RCM renders an order of magnitude of speed-up without compromising the accuracy of simulation results. An advantage of RCM with respect to the implementation is that there is no need to re-design the channel model for each specific MAC layer, and the modification made in the MAC/PHY layers is quite modest (e.g., a few API changes). This, coupled with the performance gain, suggests that RCM is an attractive, light-weight mechanism for expediting wireless network simulation.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference6 articles.
1. J-Sim. http://www.j-sim.org/. J-Sim. http://www.j-sim.org/.
2. OpNet. http://www.opnet.com/. OpNet. http://www.opnet.com/.
3. QualNet. http://www.scalable-networks.com/. QualNet. http://www.scalable-networks.com/.
4. Scalable simulation of large-scale wireless networks with bounded inaccuracies
Cited by
2 articles.
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1. Modeling low-power wireless communications;Journal of Network and Computer Applications;2015-05
2. CAMA;ACM Transactions on Sensor Networks;2014-11-07