A Type of Energy-Balanced Tree Based Data Collection Strategy for Sensor Network With Mobile Sink

Autor: Chao Sha, Dandan Song, Rui Yang, Hancheng Gao, Haiping Huang
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: IEEE Access, Vol 7, Pp 85226-85240 (2019)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2924919
Popis: In order to improve the sensing efficiency of the sensor network, a type of energy-balanced tree-based data collection strategy with mobile Sink (ETDC) is proposed. Based on the minimum cost data gathering tree, several sub-trees with similar scales and small differences in energy consumption are built for data gathering. Moreover, the roots of these sub-trees are regarded as the traversal points, and the moving trajectory of Sink is obtained with the help of these points. In addition, to further reduce energy consumption on communication and the end-to-end delay, roles of some traversal nodes and relay nodes are exchanged. The experimental results show that, compared with the typical mobile Sink based data collection methods such as VGDD and VGDR, ETDC performs well in reducing path length, enhancing the success rate of data transmission, and prolonging the network lifetime.
Databáze: Directory of Open Access Journals