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Efficient multi-objective optimization of wireless network problems on wireless testbeds

Michael Mehari (UGent) , Eli De Poorter (UGent) , Ivo Couckuyt (UGent) , Dirk Deschrijver (UGent) , Jono Vanhie-Van Gerwen (UGent) , Tom Dhaene (UGent) and Ingrid Moerman (UGent)
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Abstract
A large amount of research focuses on experimentally optimizing performance of wireless solutions. Finding the optimal performance settings typically requires investigating all possible combinations of design parameters, while the number of required experiments increases exponentially for each considered design parameter. The aim of this paper is to analyze the applicability of global optimization techniques to reduce the optimization time of wireless experimentation. In particular, the paper applies the Efficient Global Optimization (EGO) algorithm implemented in the SUrrogate MOdeling (SUMO) toolbox inside a wireless testbed. The proposed techniques are implemented and evaluated in a wireless testbed using a realistic wireless conference network problem. The performance accuracy and experimentation time of an exhaustively searched experiment is compared against a SUMO optimized experiment. In our proof of concept, the proposed SUMO optimizer reaches 99.51% of the global optimum performance while requiring 10 times less experiments compared to the exhaustive search experiment.
Keywords
wireless experimentation, IBCN, optimization, testbeds, SUMO

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Citation

Please use this url to cite or link to this publication:

Chicago
Mehari, Michael, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Jono Vanhie-Van Gerwen, Tom Dhaene, and Ingrid Moerman. 2014. “Efficient Multi-objective Optimization of Wireless Network Problems on Wireless Testbeds.” In 2014 10TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM), 212–217.
APA
Mehari, M., De Poorter, E., Couckuyt, I., Deschrijver, D., Vanhie-Van Gerwen, J., Dhaene, T., & Moerman, I. (2014). Efficient multi-objective optimization of wireless network problems on wireless testbeds. 2014 10TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM) (pp. 212–217). Presented at the 10th International Conference on Network and Service Management (CNSM).
Vancouver
1.
Mehari M, De Poorter E, Couckuyt I, Deschrijver D, Vanhie-Van Gerwen J, Dhaene T, et al. Efficient multi-objective optimization of wireless network problems on wireless testbeds. 2014 10TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM). 2014. p. 212–7.
MLA
Mehari, Michael et al. “Efficient Multi-objective Optimization of Wireless Network Problems on Wireless Testbeds.” 2014 10TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM). 2014. 212–217. Print.
@inproceedings{5786792,
  abstract     = {A large amount of research focuses on experimentally optimizing performance of wireless solutions. Finding the optimal performance settings typically requires investigating all possible combinations of design parameters, while the number of required experiments increases exponentially for each considered design parameter. The aim of this paper is to analyze the applicability of global optimization techniques to reduce the optimization time of wireless experimentation. In particular, the paper applies the Efficient Global Optimization (EGO) algorithm implemented in the SUrrogate MOdeling (SUMO) toolbox inside a wireless testbed. The proposed techniques are implemented and evaluated in a wireless testbed using a realistic wireless conference network problem. The performance accuracy and experimentation time of an exhaustively searched experiment is compared against a SUMO optimized experiment. In our proof of concept, the proposed SUMO optimizer reaches 99.51% of the global optimum performance while requiring 10 times less experiments compared to the exhaustive search experiment.},
  author       = {Mehari, Michael and De Poorter, Eli and Couckuyt, Ivo and Deschrijver, Dirk and Vanhie-Van Gerwen, Jono and Dhaene, Tom and Moerman, Ingrid},
  booktitle    = {2014 10TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM)},
  isbn         = {9783901882678},
  keywords     = {wireless experimentation,IBCN,optimization,testbeds,SUMO},
  language     = {eng},
  location     = {Rio de Janeiro, Brazil},
  pages        = {212--217},
  title        = {Efficient multi-objective optimization of wireless network problems on wireless testbeds},
  year         = {2014},
}

Web of Science
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