Home > Research > Publications & Outputs > UAV-assisted Cluster-head Selection Mechanism f...

Electronic data

  • UAV_assisted_Cluster_head_selection_for_Wireless_sensor_network__A_smart_city_application

    Rights statement: ©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.

    Accepted author manuscript, 174 KB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Close
Publication date24/10/2019
Host publication2019 UK/China Emerging Technologies, UCET 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Electronic)9781728127972
ISBN (Print)9781728127989
<mark>Original language</mark>English
Event2019 UK/China Emerging Technologies, UCET 2019 - Glasgow, Scotland, United Kingdom
Duration: 21/08/201922/08/2019

Conference

Conference2019 UK/China Emerging Technologies, UCET 2019
Country/TerritoryUnited Kingdom
CityGlasgow, Scotland
Period21/08/1922/08/19

Publication series

Name2019 UK/China Emerging Technologies, UCET 2019

Conference

Conference2019 UK/China Emerging Technologies, UCET 2019
Country/TerritoryUnited Kingdom
CityGlasgow, Scotland
Period21/08/1922/08/19

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.

Bibliographic note

©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.