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Relative Position Estimation in Vehicle Ad-Hoc Network

Relative Position Estimation in Vehicle Ad-Hoc Network

Walaa Abd el aal Afifi, Hesham Ahmed Hefny, Nagy Ramadan Darwish, Imane Fahmy
Copyright: © 2020 |Pages: 36
ISBN13: 9781799825708|ISBN10: 1799825701|ISBN13 Softcover: 9781799825715|EISBN13: 9781799825722
DOI: 10.4018/978-1-7998-2570-8.ch003
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MLA

Afifi, Walaa Abd el aal, et al. "Relative Position Estimation in Vehicle Ad-Hoc Network." IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks, edited by Ram Shringar Rao, et al., IGI Global, 2020, pp. 48-83. https://doi.org/10.4018/978-1-7998-2570-8.ch003

APA

Afifi, W. A., Hefny, H. A., Darwish, N. R., & Fahmy, I. (2020). Relative Position Estimation in Vehicle Ad-Hoc Network. In R. Rao, V. Jain, O. Kaiwartya, & N. Singh (Eds.), IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks (pp. 48-83). IGI Global. https://doi.org/10.4018/978-1-7998-2570-8.ch003

Chicago

Afifi, Walaa Abd el aal, et al. "Relative Position Estimation in Vehicle Ad-Hoc Network." In IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks, edited by Ram Shringar Rao, et al., 48-83. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2570-8.ch003

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Abstract

Position is a vital element for ITS applications. Its accuracy helps to deliver services quickly to drivers to increase their satisfaction. GPS is a well-known position system but it suffers from multipath effect and non-line of sight in tunnel environments. Relative Position or sometimes called cooperative localization is an alternative position estimation. It utilizes different forms of v2x communication to exchange position, distance, direction, and velocity parameters. It will benefit in collecting a large amount of data to increase the accuracy of position estimation. However, the dependency of radio range communication methods has drawbacks such as poor-received signal, multipath, lose packets, delay, and overhead communication that will have inverse impact on position accuracy. In addition, safety applications require fewer seconds to make quick response. This chapter provides the latest related papers, the state art of radio range, the well-known localization algorithms, and current challenges and future direction.

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