An Analytical Model for Time-Dependent Battery Level Distribution for UAVs

Ayda Baheri Eslami; Mehmet Akif Yazici

doi:10.1007/978-3-031-92143-8_13

An Analytical Model for Time-Dependent Battery Level Distribution for UAVs

Ayda Baheri Eslami
, Mehmet Akif Yazici^*

^*Bu çalışma için yazışmadan sorumlu yazar

Bilişim Enstitüsü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

Unmanned aerial vehicles (UAVs) have a wide range of uses, including surveillance, military, disaster relief, communications, smart agriculture, and delivery. They can also be equipped with various sensors to act as sensor nodes in a sensor network to perform data collection tasks. The battery level of a UAV is of utmost importance when the trajectory of the UAV is planned. The probability distribution of the battery level of a UAV after a certain time in a stochastic setting, possibly involving solar energy harvesting, can be used in trajectory optimization. In this chapter, we present a Markov fluid queue-based analytical model for the transient distribution of the battery level. We demonstrate that the proposed method is accurate in comparison to simulations, and we present a gallery of numerical results illustrating various scenarios.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024
Editörler	Behçet Ugur Töreyin, Hatice Köse, Nizamettin Aydin, Ömer Melih Gül, Seifedine Nimer Kadry
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	183-198
Sayfa sayısı	16
ISBN (Basılı)	9783031921421
DOI'lar	https://doi.org/10.1007/978-3-031-92143-8_13
Yayın durumu	Yayınlandı - 2026
Etkinlik	8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024 - Crete, Greece Süre: 3 Eyl 2024 → 5 Eyl 2024

Yayın serisi

Adı	EAI/Springer Innovations in Communication and Computing
ISSN (Basılı)	2522-8595
ISSN (Elektronik)	2522-8609

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024
Ülke/Bölge	Greece
Şehir	Crete
Periyot	3/09/24 → 5/09/24

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Belgeye Erişim

10.1007/978-3-031-92143-8_13

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Eslami, A. B., & Yazici, M. A. (2026). An Analytical Model for Time-Dependent Battery Level Distribution for UAVs. In B. U. Töreyin, H. Köse, N. Aydin, Ö. Melih Gül, & S. Nimer Kadry (Eds.), 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024 (pp. 183-198). (EAI/Springer Innovations in Communication and Computing). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-92143-8_13

Eslami, Ayda Baheri ; Yazici, Mehmet Akif. / An Analytical Model for Time-Dependent Battery Level Distribution for UAVs. 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. editör / Behçet Ugur Töreyin ; Hatice Köse ; Nizamettin Aydin ; Ömer Melih Gül ; Seifedine Nimer Kadry. Springer Science and Business Media Deutschland GmbH, 2026. pp. 183-198 (EAI/Springer Innovations in Communication and Computing).

@inproceedings{b05a2124d84a4df9aef3b6229a7d35f4,

title = "An Analytical Model for Time-Dependent Battery Level Distribution for UAVs",

abstract = "Unmanned aerial vehicles (UAVs) have a wide range of uses, including surveillance, military, disaster relief, communications, smart agriculture, and delivery. They can also be equipped with various sensors to act as sensor nodes in a sensor network to perform data collection tasks. The battery level of a UAV is of utmost importance when the trajectory of the UAV is planned. The probability distribution of the battery level of a UAV after a certain time in a stochastic setting, possibly involving solar energy harvesting, can be used in trajectory optimization. In this chapter, we present a Markov fluid queue-based analytical model for the transient distribution of the battery level. We demonstrate that the proposed method is accurate in comparison to simulations, and we present a gallery of numerical results illustrating various scenarios.",

keywords = "Battery model, Energy harvesting, Markov fluid queue, Unmanned aerial vehicle",

author = "Eslami, \{Ayda Baheri\} and Yazici, \{Mehmet Akif\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; 8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024 ; Conference date: 03-09-2024 Through 05-09-2024",

year = "2026",

doi = "10.1007/978-3-031-92143-8\_13",

language = "English",

isbn = "9783031921421",

series = "EAI/Springer Innovations in Communication and Computing",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "183--198",

editor = "T{\"o}reyin, \{Beh{\c c}et Ugur\} and Hatice K{\"o}se and Nizamettin Aydin and \{Melih G{\"u}l\}, {\"O}mer and \{Nimer Kadry\}, Seifedine",

booktitle = "8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024",

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Eslami, AB & Yazici, MA 2026, An Analytical Model for Time-Dependent Battery Level Distribution for UAVs. in BU Töreyin, H Köse, N Aydin, Ö Melih Gül & S Nimer Kadry (eds), 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. EAI/Springer Innovations in Communication and Computing, Springer Science and Business Media Deutschland GmbH, pp. 183-198, 8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024, Crete, Greece, 3/09/24. https://doi.org/10.1007/978-3-031-92143-8_13

An Analytical Model for Time-Dependent Battery Level Distribution for UAVs. / Eslami, Ayda Baheri; Yazici, Mehmet Akif.
8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. ed. / Behçet Ugur Töreyin; Hatice Köse; Nizamettin Aydin; Ömer Melih Gül; Seifedine Nimer Kadry. Springer Science and Business Media Deutschland GmbH, 2026. p. 183-198 (EAI/Springer Innovations in Communication and Computing).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - An Analytical Model for Time-Dependent Battery Level Distribution for UAVs

AU - Eslami, Ayda Baheri

AU - Yazici, Mehmet Akif

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - Unmanned aerial vehicles (UAVs) have a wide range of uses, including surveillance, military, disaster relief, communications, smart agriculture, and delivery. They can also be equipped with various sensors to act as sensor nodes in a sensor network to perform data collection tasks. The battery level of a UAV is of utmost importance when the trajectory of the UAV is planned. The probability distribution of the battery level of a UAV after a certain time in a stochastic setting, possibly involving solar energy harvesting, can be used in trajectory optimization. In this chapter, we present a Markov fluid queue-based analytical model for the transient distribution of the battery level. We demonstrate that the proposed method is accurate in comparison to simulations, and we present a gallery of numerical results illustrating various scenarios.

AB - Unmanned aerial vehicles (UAVs) have a wide range of uses, including surveillance, military, disaster relief, communications, smart agriculture, and delivery. They can also be equipped with various sensors to act as sensor nodes in a sensor network to perform data collection tasks. The battery level of a UAV is of utmost importance when the trajectory of the UAV is planned. The probability distribution of the battery level of a UAV after a certain time in a stochastic setting, possibly involving solar energy harvesting, can be used in trajectory optimization. In this chapter, we present a Markov fluid queue-based analytical model for the transient distribution of the battery level. We demonstrate that the proposed method is accurate in comparison to simulations, and we present a gallery of numerical results illustrating various scenarios.

KW - Battery model

KW - Energy harvesting

KW - Markov fluid queue

KW - Unmanned aerial vehicle

UR - https://www.scopus.com/pages/publications/105025038030

U2 - 10.1007/978-3-031-92143-8_13

DO - 10.1007/978-3-031-92143-8_13

M3 - Conference contribution

AN - SCOPUS:105025038030

SN - 9783031921421

T3 - EAI/Springer Innovations in Communication and Computing

SP - 183

EP - 198

BT - 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024

A2 - Töreyin, Behçet Ugur

A2 - Köse, Hatice

A2 - Aydin, Nizamettin

A2 - Melih Gül, Ömer

A2 - Nimer Kadry, Seifedine

PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024

Y2 - 3 September 2024 through 5 September 2024

ER -

Eslami AB, Yazici MA. An Analytical Model for Time-Dependent Battery Level Distribution for UAVs. In Töreyin BU, Köse H, Aydin N, Melih Gül Ö, Nimer Kadry S, editörler, 8th EAI International Conference on Robotic Sensor Networks - EAI ROSENET 2024. Springer Science and Business Media Deutschland GmbH. 2026. p. 183-198. (EAI/Springer Innovations in Communication and Computing). doi: 10.1007/978-3-031-92143-8_13

An Analytical Model for Time-Dependent Battery Level Distribution for UAVs

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap