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Dynamic Adjustment Optimisation Algorithm in 3D Directional Sensor Networks Based on Spherical Sector Coverage Models
Joint Authors
Dang, Xiaochao
Shao, Chenguang
Hao, Zhanjun
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-07
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
In directional sensor networks research, target event detection is currently an active research area, with applications in underwater target monitoring, forest fire warnings, border areas, and other important activities.
Previous studies have often discussed target coverage in two-dimensional sensor networks, but these studies cannot be extensively applied to three-dimensional networks.
Additionally, most of the previous target coverage detection models are based on a circular or omnidirectional sensing model.
More importantly, if the directional sensor network does not design a better coverage algorithm in the coverage-monitoring process, its nodes’ energy consumption will increase and the network lifetime will be significantly shortened.
With the objective of addressing three-dimensional target coverage in applications, this study proposes a dynamic adjustment optimisation algorithm for three-dimensional directional sensor networks based on a spherical sector coverage model, which improves the lifetime and coverage ratio of the network.
First, we redefine the directional nodes’ sensing model and use the three-dimensional Voronoi method to divide the regions where the nodes are located.
Then, we introduce a correlation force between the target and the sensor node to optimise the algorithm’s coverage mechanism, so that the sensor node can accurately move to the specified position for target coverage.
Finally, by verifying the feasibility and accuracy of the proposed algorithm, the simulation experiments demonstrate that the proposed algorithm can effectively improve the network coverage and node utilisation.
American Psychological Association (APA)
Dang, Xiaochao& Shao, Chenguang& Hao, Zhanjun. 2019. Dynamic Adjustment Optimisation Algorithm in 3D Directional Sensor Networks Based on Spherical Sector Coverage Models. Journal of Sensors،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1187154
Modern Language Association (MLA)
Dang, Xiaochao…[et al.]. Dynamic Adjustment Optimisation Algorithm in 3D Directional Sensor Networks Based on Spherical Sector Coverage Models. Journal of Sensors No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1187154
American Medical Association (AMA)
Dang, Xiaochao& Shao, Chenguang& Hao, Zhanjun. Dynamic Adjustment Optimisation Algorithm in 3D Directional Sensor Networks Based on Spherical Sector Coverage Models. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1187154
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187154