UAV-assisted Cluster-head Selection Mechanism for Wireless Sensor Network Applications

Haider, Syed Kamran and Jamshed, Muhammad Ali and Jiang, Aimin and Pervaiz, Haris and Ni, Qiang (2019) UAV-assisted Cluster-head Selection Mechanism for Wireless Sensor Network Applications. In: 2019 UK/China Emerging Technologies, UCET 2019 :. 2019 UK/China Emerging Technologies, UCET 2019 . Institute of Electrical and Electronics Engineers Inc., GBR. ISBN 9781728127989

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Abstract

The use of unmanned aerial vehicles (UAVs) is gaining popularity in many applications, i.e. data collection, surveillance, wireless sensor networks (WSNs) etc. In the WSN domain, the UAVs are used to create a more flexible data-gathering platform. This integration maximizes the lifetime of a WSN by optimizing the energy budget. In this paper, we have utilized these benefits of UAVs and have proposed an optimum cluster head (CH) selection strategy to maximize the lifetime of WSNs. The proposed method uses the average residual energy, the channel condition and the Euclidean distance of each sensor node (SN) with a UAV to nominate a group of CHs. Based on the initial analytical analysis, the proposed scheme maximizes the lifetime of a WSN by a fair amount in comparison to the state-of-the-art methods.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1705
Subjects:
?? cluster head (ch) selectionenergy efficiencyuav-assisted communicationwireless sensor network (wsn)computer networks and communicationscomputer vision and pattern recognitioninformation systems and managementenergy engineering and power technologyhealth i ??
ID Code:
149039
Deposited By:
Deposited On:
16 Nov 2020 11:10
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Sep 2024 23:51