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Energy-Efficient Data Gathering Schemes in UAV-Based Wireless Sensor Networks

Published: 04 November 2021 Publication History

Abstract

Wireless sensors networks (WSNs) comprise small sensing and computing units with limited power, and often run in non-replaceable energy sources. A large number of researches have been conducted for energy-efficient data gathering in unmanned aerial vehicle (UAV)-aided WSNs (UWSNs) for prolonging the lifetime of WSNs. UAVs are equipped with rechargeable batteries and can fly greater distances within a shorter period of time. However, the data gathering in UWSNs is still an under-investigated topic and more structured researches are required. To measure the effectiveness of the state-of-the-art models, performance analysis and comparison must be done by varying key parameters. As a new emerging field, there is no proper performance analysis guideline established in this topic yet. This study investigates major researches in this field and elaborately discusses the performance analysis techniques and tools used in the investigated research works. The qualitative comparisons of the performance analysis techniques will be able to provide a proper guideline to future researchers.

References

[1]
M. Y. Arafat, M. A. Habib, and S. Moh, “Routing Protocols for UAV-Aided Wireless Sensor Networks,” Appl. Sci., vol. 10, no. 12, p. 4077, Jun. 2020.
[2]
R. A. Nazib and S. Moh, “Routing Protocols for Unmanned Aerial Vehicle-Aided Vehicular Ad Hoc Networks: A Survey,” IEEE Access, pp. 1–1, Apr. 2020.
[3]
R. T. Rodoshi, T. Kim, and W. Choi, “Resource Management in Cloud Radio Access Network: Conventional and New Approaches,” Sensors, vol. 20, no. 9, p. 2708, May 2020.
[4]
S. Park, A. Savvides, and M. B. Srivastava, “Battery capacity measurement and analysis using lithium coin cell battery,” Proc. Int. Symp. Low Power Electron. Des. Dig. Tech. Pap., pp. 382–387, 2001.
[5]
E. Shih, “Physical Layer Driven Protocol and Algorithm Design for Energy-Efficient WSN.pdf,” pp. 272–286, 2001.
[6]
A. El Gamal, C. Nair, B. Prabhakar, E. Uysal-Biyikoglu, and S. Zahedi, “Energy-efficient scheduling of packet transmissions over wireless networks,” Proc. - IEEE INFOCOM, vol. 3, no. c, pp. 1773–1782, 2002.
[7]
Y. Xu, J. Heidemann, and D. Estri, “Geography-informed Energy Conservation,” Proc. 7th Annu. Int. Conf. Mob. Comput. Netw., pp. 70–84, 2001.
[8]
S. Lee, J. Choi, J. Na, and C. K. Kim, “Analysis of dynamic low power listening schemes in wireless sensor networks,” IEEE Commun. Lett., vol. 13, no. 1, pp. 43–45, 2009.
[9]
A. Y. Wang, Seong Hwan Cho, C. G. Sodini, and A. P. Chandrakasan, “Energy efficient modulation and MAC for asymmetric RF microsensor systems,” Proc. Int. Symp. Low Power Electron. Des. Dig. Tech. Pap., pp. 106–111, 2001.
[10]
A. Salhieh and L. Schwiebert, “Power Efficient Topologies for Wireless Sensor Networks * Jennifer Weinmann t Manish Kochhal t,” October, no. c, pp. 156–163, 2001.
[11]
S. Sotheara, K. Aso, N. Aomi, and S. Shimamoto, “Effective data gathering and energy efficient communication protocol in Wireless Sensor Networks employing UAV,” in2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014, vol. 3, pp. 2342–2347.
[12]
D. Ebrahimi, S. Sharafeddine, P. H. Ho, and C. Assi, “Data Collection in Wireless Sensor Networks Using UAV and Compressive Data Gathering,”2018 IEEE Glob. Commun. Conf. GLOBECOM 2018 - Proc., pp. 1–7, 2018.
[13]
A. Trotta, “BEE-DRONES: Energy-efficient Data Collection on Wake-Up Radio-based Wireless Sensor Networks,” in IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2019, pp. 547–553.
[14]
C. Zhan, Y. Zeng, and R. Zhang, “Energy-Efficient Data Collection in UAV Enabled Wireless Sensor Network,” IEEE Wirel. Commun. Lett., vol. 7, no. 3, pp. 328–331, Jun. 2018.
[15]
Q. Wu, P. Sun, and A. Boukerche, “Unmanned aerial vehicle-assisted energy-efficient data collection scheme for sustainable wireless sensor networks,” Comput. Networks, vol. 165, p. 106927, 2019.
[16]
E. Ebeid, M. Skriver, K. H. Terkildsen, K. Jensen, and U. P. Schultz, “A survey of Open-Source UAV flight controllers and flight simulators,” Microprocess. Microsyst., vol. 61, pp. 11–20, Sep. 2018.
[17]
S. Poudel and S. Moh, “Medium Access Control Protocols for Unmanned Aerial Vehicle-Aided Wireless Sensor Networks: A Survey,” IEEE Access, vol. 7. Institute of Electrical and Electronics Engineers Inc., pp. 65728–65744, 2019.
[18]
L. Gupta, R. Jain, and G. Vaszkun, “Survey of Important Issues in UAV Communication Networks,” IEEE Commun. Surv. Tutorials, vol. 18, no. 2, pp. 1123–1152, Apr. 2016.

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            cover image ACM Other conferences
            SMA 2020: The 9th International Conference on Smart Media and Applications
            September 2020
            491 pages
            ISBN:9781450389259
            DOI:10.1145/3426020
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            Published: 04 November 2021

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            Author Tags

            1. Unmanned aerial vehicle
            2. energy efficiency
            3. performance evaluation
            4. simulation
            5. wireless sensor network

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