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A Review on Energy Efficient Path Planning Algorithms for Unmanned Air Vehicles

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Computational Science and Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 481))

Abstract

Unmanned Aerial Vehicle (UAV) is a type of autonomous vehicle for which energy efficient path planning is a crucial issue. The use of UAV has been increased to replace humans in performing risky missions at adversarial environments and thus, the requirement of path planning with efficient energy consumption is necessary. This study analyses all the available path planning algorithms in terms of energy efficiency for a UAV. At the same time, the consideration is also given to the computation time, path length and completeness because UAV must compute a stealthy and minimal path length to save energy. Its range is limited and hence, time spent over a surveyed territory should be minimal, which in turn makes path length always a factor in any algorithm. Also the path must have a realistic trajectory and should be feasible for the UAV.

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Change history

  • 26 March 2019

    Correction to:

    Chapter “A Review on Energy Efficient Path Planning Algorithms for Unmanned Air Vehicles” in: R. Alfred et al. (eds.), Computational Science and Technology , Lecture Notes in Electrical Engineering 481, https://doi.org/10.1007/978-981-13-2622-6_51

    The original version of this chapter was inadvertently published with incorrect first author’s name as “Sulaiman Sanjoy Kumar Debnath”. This has been corrected as “Sanjoy Kumar Debnath” in the chapter.

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Acknowledgments

This work was supported by UTHM and funded by GPPS and Fundamental Research Grant Scheme (FRGS) with vot numbers of U457 and 1489 respectively.

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Correspondence to Sanjoy Kumar Debnath .

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Debnath, S.K., Omar, R., Latip, N.B.A. (2019). A Review on Energy Efficient Path Planning Algorithms for Unmanned Air Vehicles. In: Alfred, R., Lim, Y., Ibrahim, A., Anthony, P. (eds) Computational Science and Technology. Lecture Notes in Electrical Engineering, vol 481. Springer, Singapore. https://doi.org/10.1007/978-981-13-2622-6_51

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  • DOI: https://doi.org/10.1007/978-981-13-2622-6_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2621-9

  • Online ISBN: 978-981-13-2622-6

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