An Efficient Data Collection and Load Balance Algorithm in Wireless Sensor Networks

Danyang Qin; Ping Ji; Songxiang Yang; Qun Ding

Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I

Research Article

An Efficient Data Collection and Load Balance Algorithm in Wireless Sensor Networks

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@INPROCEEDINGS{10.1007/978-3-319-73564-1_63,
    author={Danyang Qin and Ping Ji and Songxiang Yang and Qun Ding},
    title={An Efficient Data Collection and Load Balance Algorithm in Wireless Sensor Networks},
    proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I},
    proceedings_a={MLICOM},
    year={2018},
    month={2},
    keywords={Wireless sensor network Load balance Cluster algorithm Lifetime},
    doi={10.1007/978-3-319-73564-1_63}
}

Danyang Qin
Ping Ji
Songxiang Yang
Qun Ding
Year: 2018
An Efficient Data Collection and Load Balance Algorithm in Wireless Sensor Networks
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_63

Danyang Qin¹^,*, Ping Ji¹, Songxiang Yang¹, Qun Ding¹

1: Heilongjiang University

*Contact email: qindanyang@hlju.edu.cn

Abstract

The fact of multi-hop data transmission in wireless sensor network will lead serious load unbalance. Considering the limited energy supply, the load distribution will cause great restraints in relative applications. Existing algorithm mostly perform the load balance inside each cluster without considering about the entire network consumption. A cluster-based Balanced Energy Consumption Algorithm (BECA) is proposed by collecting the data more efficiently to avoid heavy traffic nodes so as to achieve global load balance. Simulating results show that BECA can obtain better balance properties and prolong the network lifetime greatly.

Keywords: Wireless sensor network Load balance Cluster algorithm Lifetime

Published: 2018-02-09
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-73564-1_63