University of Oulu

S. Ouahouah, J. Prados-Garzon, T. Taleb and C. Benzaid, "Energy-aware Collision Avoidance stochastic Optimizer for a UAVs set," 2020 International Wireless Communications and Mobile Computing (IWCMC), Limassol, Cyprus, 2020, pp. 1636-1641, doi: 10.1109/IWCMC48107.2020.9148495

Energy-aware collision avoidance stochastic optimizer for a UAVs set

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Author: Ouahouah, Sihem1,2; Prados-Garzon, Jonathan2; Taleb, Tarik2,3;
Organizations: 1Ecole nationale Supérieure d’Informatique, Algiers, Algeria
2Aalto University, Espoo, Finland
3University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-10-16


Unmanned aerial vehicles (UAVs) is one of the promising technology in the future. A recent study claims that by 2026, the commercial UAVs, for both corporate and customer applications, will have an annual impact of 31 billion to 46 billion on the country’s GDP. Shortly, many UAVs will be flying everywhere. For this reason, there is a need to suggest efficient mechanisms for preventing the collisions among the UAVs. Traditionally, the collisions are prevented using dedicated sensors, however, those would generate uncertainty in their reading due to their external conditions sensitivity. From another side, the use of those sensors could create an extra overhead on the UAVs in terms of cost and energy consumption. To deal with these challenges, in this paper, we have suggested a solution that leverages the chance-constrained optimization technique for avoiding the collision in an energy-efficient manner. Building on the expressions for the non-central Chi-square CDF and expected value, and through the convexification of the resulting expressions, the chance-constrained optimization program is transformed into a convex Mixed Binary Nonlinear one. The resulting program allows us to find the optimal safety distance that extends UAVs life-time and allows every UAV to move with a guaranteed probability of collision between any pair of UAVs.

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Series: International Wireless Communications & Mobile Computing Conference
ISSN: 2376-6492
ISSN-L: 2376-6492
ISBN: 978-1-7281-3129-0
ISBN Print: 978-1-7281-3128-3
Pages: 1636 - 1641
Article number: 9148495
DOI: 10.1109/IWCMC48107.2020.9148495
Host publication: 16th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2020
Conference: IEEE International Wireless Communications and Mobile Computing Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was partially supported by the European Union’s Horizon 2020 Research and Innovation Program through the 5G!Drones Project under Grant No. 857031, by the Academy of Finland 6Genesis project under Grant No. 318927, and by the Academy of Finland CSN project under Grant No. 311654.
EU Grant Number: (857031) 5G!Drones - Unmanned Aerial Vehicle Vertical Applications’ Trials Leveraging Advanced 5G Facilities
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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