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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - UAV-assisted Cluster-head Selection Mechanism for Wireless Sensor Network Applications
AU - Haider, Syed Kamran
AU - Jamshed, Muhammad Ali
AU - Jiang, Aimin
AU - Pervaiz, Haris
AU - Ni, Qiang
N1 - ©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.
PY - 2019/10/24
Y1 - 2019/10/24
N2 - 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.
AB - 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.
KW - cluster head (CH) selection
KW - energy efficiency
KW - UAV-assisted communication
KW - Wireless sensor network (WSN)
U2 - 10.1109/UCET.2019.8881889
DO - 10.1109/UCET.2019.8881889
M3 - Conference contribution/Paper
AN - SCOPUS:85074952601
SN - 9781728127989
T3 - 2019 UK/China Emerging Technologies, UCET 2019
BT - 2019 UK/China Emerging Technologies, UCET 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 UK/China Emerging Technologies, UCET 2019
Y2 - 21 August 2019 through 22 August 2019
ER -