Paper Info
Title
Path Self-Deployment Algorithm of Three-Dimensional Space in Directional Sensor Networks
Abstract
Contrast to the two-dimensional directional sensor networks, the three-dimensional directional sensor networks increases complexity and diversity. External environment and sensor limitations impact the target monitoring and coverage. Adjustment strategies provide better auxiliary guide in the process of self-deployment, while strengthen the monitoring area coverage rate and monitoring capability of sensor nodes. We propose a path self-deployment algorithm TPSA (Three-dimension Path Self-Deployment Algorithm) based on above issues. The concept of virtual force extends from two-dimensional to three-dimensional, includes target path control. The node gets locational information about monitoring target and target path in the initialization, calculates the virtual force of them, finally obtains the next movement location and direction. We analyse the process of self-deployment of both static and polymorphic nodes. The simulation results verify the proposed algorithm enables better node control in the deployment process, and improves the efficiency of the sensor node deployment.
Year
DOI
Venue
2017
10.1109/CSE-EUC.2017.51
2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)
Keywords
Field
DocType
directional sensor networks,path self-deployment,three-dimensional deployment,virtual force
Mobile computing,Computer science,Computer network,Real-time computing,Distributed computing,Sensor node,Key distribution in wireless sensor networks,Algorithm design,Brooks–Iyengar algorithm,Algorithm,Initialization,Wireless sensor network,Mobile telephony
Conference
Volume
Issue
ISSN
1
1
1949-0828
ISBN
Citations 
PageRank 
978-1-5386-3222-2
0
0.34
References 
Authors
8
4
Name
Order
Citations
PageRank
Li Tan112.72
Chaoyu Yang223.07
Minghua Yang392.56
Xiaojiang Tang400.68