Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networks
Abstract Cellular networks based on new generation standards are the major enabler for Internet of things (IoT) communication. Narrowband-IoT and Long Term Evolution for Machines are the newest wide area network-based cellular technologies for IoT applications. The deployment of unmanned aerial vehi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-12-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13638-020-01877-0 |
| _version_ | 1828890203053359104 |
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| author | Saqib Majeed Adnan Sohail Kashif Naseer Qureshi Arvind Kumar Saleem Iqbal Jaime Lloret |
| author_facet | Saqib Majeed Adnan Sohail Kashif Naseer Qureshi Arvind Kumar Saleem Iqbal Jaime Lloret |
| author_sort | Saqib Majeed |
| collection | DOAJ |
| description | Abstract Cellular networks based on new generation standards are the major enabler for Internet of things (IoT) communication. Narrowband-IoT and Long Term Evolution for Machines are the newest wide area network-based cellular technologies for IoT applications. The deployment of unmanned aerial vehicles (UAVs) has gained the popularity in cellular networks by using temporary ubiquitous coverage in the areas where the infrastructure-based networks are either not available or have vanished due to some disasters. The major challenge in such networks is the efficient UAVs deployment that covers maximum users and area with the minimum number of UAVs. The performance and sustainability of UAVs is largely dependent upon the available residual energy especially in mission planning. Although energy harvesting techniques and efficient storage units are available, but these have their own constraints and the limited onboard energy still severely hinders the practical realization of UAVs. This paper employs neglected parameters of UAVs energy consumption in order to get actual status of available energy and proposed a solution that more accurately estimates the UAVs operational airtime. The proposed model is evaluated in test bed and simulation environment where the results show the consideration of such explicit usage parameters achieves significant improvement in airtime estimation. |
| first_indexed | 2024-12-13T12:54:39Z |
| format | Article |
| id | doaj.art-fa269ccbe1d045e59f853f728662286c |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-13T12:54:39Z |
| publishDate | 2020-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-fa269ccbe1d045e59f853f728662286c2022-12-21T23:45:14ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992020-12-012020111410.1186/s13638-020-01877-0Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networksSaqib Majeed0Adnan Sohail1Kashif Naseer Qureshi2Arvind Kumar3Saleem Iqbal4Jaime Lloret5Department of Computing and Technology, Iqra UniversityDepartment of Computing and Technology, Iqra UniversityDepartment of Computer Science, Bahria UniversitySchool of Computing Science and Engineering (SCSE), Galgotias UniversityUniversity Institute of Information Technology, PMAS-AAURUniversitat Politecnica de ValenciaAbstract Cellular networks based on new generation standards are the major enabler for Internet of things (IoT) communication. Narrowband-IoT and Long Term Evolution for Machines are the newest wide area network-based cellular technologies for IoT applications. The deployment of unmanned aerial vehicles (UAVs) has gained the popularity in cellular networks by using temporary ubiquitous coverage in the areas where the infrastructure-based networks are either not available or have vanished due to some disasters. The major challenge in such networks is the efficient UAVs deployment that covers maximum users and area with the minimum number of UAVs. The performance and sustainability of UAVs is largely dependent upon the available residual energy especially in mission planning. Although energy harvesting techniques and efficient storage units are available, but these have their own constraints and the limited onboard energy still severely hinders the practical realization of UAVs. This paper employs neglected parameters of UAVs energy consumption in order to get actual status of available energy and proposed a solution that more accurately estimates the UAVs operational airtime. The proposed model is evaluated in test bed and simulation environment where the results show the consideration of such explicit usage parameters achieves significant improvement in airtime estimation.https://doi.org/10.1186/s13638-020-01877-0Energy awareUAVUEDynamic deploymentCommunicational energyEnergy efficiency |
| spellingShingle | Saqib Majeed Adnan Sohail Kashif Naseer Qureshi Arvind Kumar Saleem Iqbal Jaime Lloret Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networks EURASIP Journal on Wireless Communications and Networking Energy aware UAV UE Dynamic deployment Communicational energy Energy efficiency |
| title | Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networks |
| title_full | Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networks |
| title_fullStr | Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networks |
| title_full_unstemmed | Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networks |
| title_short | Unmanned aerial vehicles optimal airtime estimation for energy aware deployment in IoT-enabled fifth generation cellular networks |
| title_sort | unmanned aerial vehicles optimal airtime estimation for energy aware deployment in iot enabled fifth generation cellular networks |
| topic | Energy aware UAV UE Dynamic deployment Communicational energy Energy efficiency |
| url | https://doi.org/10.1186/s13638-020-01877-0 |
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