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Article

Evolutionary Coalitional Game-Based Cooperative Localization in Vehicular Networks

1
National Time Service Center, Chinese Academy of Sciences, Xi’an 710600, China
2
School of Electronic, Electronial and Communication Engineering, University Chinese Academy of Sciences, Beijing 100049, China
3
School of Astronomy and Space Science, University Chinese Academy of Sciences, Beijing 100049, China
4
School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
*
Author to whom correspondence should be addressed.
Electronics 2022, 11(4), 638; https://doi.org/10.3390/electronics11040638
Submission received: 27 January 2022 / Revised: 10 February 2022 / Accepted: 17 February 2022 / Published: 18 February 2022
(This article belongs to the Topic Intelligent Transportation Systems)

Abstract

Cooperative localization under complex urban environments has become a solution able to replace Global Navigation Satellite System (GNSS) positioning. Due to the lack of an efficient cooperative localization scheme, traditional cooperative vehicle networks result in high computational complexity and heavy communication overhead. In this paper, we concentrate on the cooperative localization design of a vehicle. This paper proposes a cooperative localization method based on evolutionary coalitional game theory to implement vehicle location estimation with a lower communication cost. We select the neighboring vehicles to form a coalition based on the node’s square position error bound and communication cost. The location is obtained via exchanging information between vehicles. It is evident from the simulations and results that the proposed method requires a low communication overhead while maintaining localization accuracy.
Keywords: cooperative localization; vehicle network; game theory; evolutionary coalitional game cooperative localization; vehicle network; game theory; evolutionary coalitional game
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MDPI and ACS Style

Yin, T.; Zou, D.; Lu, X.; Bi, C. Evolutionary Coalitional Game-Based Cooperative Localization in Vehicular Networks. Electronics 2022, 11, 638. https://doi.org/10.3390/electronics11040638

AMA Style

Yin T, Zou D, Lu X, Bi C. Evolutionary Coalitional Game-Based Cooperative Localization in Vehicular Networks. Electronics. 2022; 11(4):638. https://doi.org/10.3390/electronics11040638

Chicago/Turabian Style

Yin, Ting, Decai Zou, Xiaochun Lu, and Cheng Bi. 2022. "Evolutionary Coalitional Game-Based Cooperative Localization in Vehicular Networks" Electronics 11, no. 4: 638. https://doi.org/10.3390/electronics11040638

APA Style

Yin, T., Zou, D., Lu, X., & Bi, C. (2022). Evolutionary Coalitional Game-Based Cooperative Localization in Vehicular Networks. Electronics, 11(4), 638. https://doi.org/10.3390/electronics11040638

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