## EDAM## From CUSystemsMain Page <
[edit] ## EDAM - The Effective Directivity Antenna Model
Rather than attempting to model every propagation path and antenna lobe in a specific environment, EDAM provides a randomized model which tends to produce directional effects similar in kind and quantity to those measured in actual environments. EDAM is parameterized by a small number of constants which characterize a type of environment: We provide fitted ranges of values for [edit] ## Understanding Directionality ErrorWe distinguish between two concepts here: By The picture at right shows the [edit] ## How EDAM worksThe basic principles of EDAM are quite simple. We find that the error, or The EDAM algorithms (illustrated somewhat ambiguously at right) are roughly as follows: - At the beginning of each random trial (Algorithm a):
- Produce a partition of the azimuth at every node.
- For each node, for each partition, do:
- Compute a random
*offset*drawing from the appropriate distribution
- Compute a random
- For each signal (Algorithm b):
- Estimate
*effective directivity*(at both the sender and receiver) as the*directional gain*less the direction-specific*offset.* - Use effective directivity estimate rather than simple gain, in addition to appropriate fading and path-loss models, to estimate the received signal strength.
- As with any stochastic simulation, multiple repeated trials are necessary!
[edit] ## ImplementationsThere are currently two implementations of EDAM: The first is as a patch for the QualNet simulator, version 4.5.1. This is a cleaned-up version of the code used in "The Impact of Directional Antenna Models on Simulation Accuracy" below. It has consequently been somewhat tested, but the algorithmic logic is entangled with QualNet's processing. The second is a pure Ruby implementation, which is less heavily tested but much clearer. - QualNet Patch:
`qualnet-4.5.1-edam-0.1.patch`in Caleb's QualNet Hacks - Ruby script: EDAM_in_Ruby. Note that this implementation is intended for computing a
*single*signal strength estimate, so the notion of maintaining offset estimates between samples in the course of a simulation is lost.
[edit] ## About UsEDAM was developed by Eric Anderson and Caleb Phillips. The original QualNet implementation was done by Gary Yee. The faculty advisors are Douglas Sicker and Dirk Grunwald. [edit] ## References[edit] ## The EDAM ModelJournal: Eric Anderson, Caleb Phillips, Douglas Sicker, Dirk Grunwald - Modeling Environmental Effects on Directionality in Wireless Networks- Mathematical and Computer Modeling , @2010
- BibtexAbstract
**Author :**Eric Anderson, Caleb Phillips, Douglas Sicker, Dirk Grunwald**Title :**Modeling Environmental Effects on Directionality in Wireless Networks**In :**Mathematical and Computer Modeling -**Adress :****Date :**@2010
Workshop: Eric Anderson, Caleb Phillips, Douglas Sicker, Dirk Grunwald - Modeling Environmental Effects on Directionality in Wireless Networks- 5th International workshop on Wireless Network Measurements (WiNMee) , June, 2009
- Bibtex
**Author :**Eric Anderson, Caleb Phillips, Douglas Sicker, Dirk Grunwald**Title :**Modeling Environmental Effects on Directionality in Wireless Networks**In :**5th International workshop on Wireless Network Measurements (WiNMee) -**Adress :****Date :**June 2009
Technical report: Eric W. Anderson, Caleb T. Phillips, Dirk Grunwald, Douglas
Sicker - Modeling Environmental Effects on Directionality in Wireless Networks- Tech Report, Department of Computer Science, University of Colorado at Boulder (CU-CS-1044-08), July, 2008
- BibtexAbstract
**Author :**Eric W. Anderson, Caleb T. Phillips, Dirk Grunwald, Douglas Sicker**Title :**Modeling Environmental Effects on Directionality in Wireless Networks**In :**Tech Report, Department of Computer Science, University of Colorado at Boulder -**Adress :****Date :**July 2008
[edit] ## Evaluation of EDAM as a simulation toolConference: Eric Anderson, Gary Yee, Caleb Phillips, Dirk Grunwald, Douglas Sicker - The Impact of Directional Antenna Models on Simulation Accuracy- 7th Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) , June, 2009
- BibtexAbstract
**Author :**Eric Anderson, Gary Yee, Caleb Phillips, Dirk Grunwald, Douglas Sicker**Title :**The Impact of Directional Antenna Models on Simulation Accuracy**In :**7th Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) -**Adress :****Date :**June 2009
[edit] ## Related work by others[edit] ## Modeling Environmental Effects
Greenstein, L. J., Erceg, V. - Gain reductions due to scatter on wireless paths with directional
antennas- Communications Letters, IEEE 3(6):169--171, 1999
- BibtexAbstract
**Author :**Greenstein, L. J., Erceg, V.**Title :**Gain reductions due to scatter on wireless paths with directional antennas**In :**Communications Letters, IEEE -**Adress :****Date :**1999
[edit] ## Using Directional Antennas in Challenging Environments
Marc Blanco, Ravi Kokku, Kishore Ramachandran, Sampath Rangarajan, Karthik Sundaresan - On the Effectiveness of Switched Beam Antennas in Indoor Environments- Passive and Active Network Measurement 4979/2008:122 -- 131, 2008
- BibtexAbstract
**Author :**Marc Blanco, Ravi Kokku, Kishore Ramachandran, Sampath Rangarajan, Karthik Sundaresan**Title :**On the Effectiveness of Switched Beam Antennas in Indoor Environments**In :**Passive and Active Network Measurement -**Adress :****Date :**2008
Xi Liu, Anmol Sheth, Michael Kaminski, Konstantina Papagiannaki, Srinivasan Seshan, Peter Steenkiste - DIRC: Increasing Indoor Wireless Capacity Using Directional Antennas- Proc. SIGCOMM 2009 pp. 171 -- 182, Barcelona, Spain, August, 2009
- Bibtex
**Author :**Xi Liu, Anmol Sheth, Michael Kaminski, Konstantina Papagiannaki, Srinivasan Seshan, Peter Steenkiste**Title :**DIRC: Increasing Indoor Wireless Capacity Using Directional Antennas**In :**Proc. SIGCOMM 2009 -**Adress :**Barcelona, Spain**Date :**August 2009
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