About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19–20, 2020, Proceedings

Research Article

Efficient Cluster Head Selection for Multimode Sensors in Wireless Sensor Network

Download(Requires a free EAI acccount)
4 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-67514-1_8,
        author={Li Xu and Xia Luo and Huanzhu Wang},
        title={Efficient Cluster Head Selection for Multimode Sensors in Wireless Sensor Network},
        proceedings={IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19--20, 2020, Proceedings},
        proceedings_a={IOTAAS},
        year={2021},
        month={1},
        keywords={Energy efficiency Cluster head selection Target tracking WSN},
        doi={10.1007/978-3-030-67514-1_8}
    }
    
  • Li Xu
    Xia Luo
    Huanzhu Wang
    Year: 2021
    Efficient Cluster Head Selection for Multimode Sensors in Wireless Sensor Network
    IOTAAS
    Springer
    DOI: 10.1007/978-3-030-67514-1_8
Li Xu1,*, Xia Luo1, Huanzhu Wang2
  • 1: Beijing Research Institute of Telemetry
  • 2: School of Electronics and Information, Northwestern Polytechnical University
*Contact email: xulimouse@163.com

Abstract

It needs simple and effective network organization to improve the network lifetime in building practical wireless sensor networks (WSNs). As we know, clustering is a classical network model and has been widely used in WSNs, where cluster head (CH) is a manager to control its members and collect sensed data from them. However, in the most of the existing work, the number of cluster heads is stabilized so that the distribution of cluster heads is not reasonable. In addition, they did not consider the dynamic cooperative aware storage and transmission of the sensed data. Therefore, we propose an efficient cluster head selected approach for multimode sensors. First, we select the optimal number of cluster heads based on the approximate distance from the nodes to the sink and the network side length. Second, the nodes that are deployed in the range of cluster head competition radius broadcast their ID, residual energy, location information and distance to the sink node. In the proposed approach, each node competes cluster head according to the number of adjacent nodes and the distance to the sink. Simulation and data analysis show that the proposed approach can efficiently store data and significantly improve the network lifetime.

Keywords
Energy efficiency Cluster head selection Target tracking WSN
Published
2021-01-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67514-1_8
Copyright © 2020–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL