CVSL Logo
FrancaisHome
AboutPeopleResearchPublicationsEventsProfile
About
Publications

 

 

 

REPARTI

MIVIM

Sensor Control for Temporal Coverage Optimization


Vahab Akbarzadeh, Christian Gagné and Marc Parizeau

More on this project...

Abstract - This paper proposes a new sensor control algorithm to adapt the operation parameters of the sensors in order to optimize temporal coverage. Traditional sensor control algorithms rely on non-probabilistic sensor coverage models and simple target trajectory prediction methods, while the new algorithm overcomes all these limitations. The proposed approach make an optimization of one sensor at the time, processed in a random order. The performance of the proposed algorithm is compared with a state-of-the-art general purpose optimization method (i.e., CMA-ES). Results show that our algorithm produces the results in a much shorter time in all the cases considered, while the final coverage of the network was superior in a smaller map and competitive in larger maps. Therefore, the new algorithm can be used in scenarios where response within some time limit is of great importance (e.g., real-time control of the sensors).

download documentdownload document

Bibtex:

@inproceedings{Akbarzadeh1143,
    author    = { Vahab Akbarzadeh and Christian Gagné and Marc Parizeau },
    title     = { Sensor Control for Temporal Coverage Optimization },
    booktitle = { Proc. of the IEEE World Congress on Computational Intelligence (IEEE WCCI 2016) },
    year      = { 2016 },
    month     = { 7 },
    web       = { http://dx.doi.org/10.1109/CEC.2016.7744358 }
}

Last modification: Jul 15 2016 2:26PM by cgagne

     
   
   

©2002-. Computer Vision and Systems Laboratory. All rights reserved