Path self-deployment algorithm of three-dimensional space in directional sensor networks
by Li Tan; Chaoyu Yang; Minghua Yang; Xiaojiang Tang
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 14, No. 3, 2019

Abstract: In contrast to the two-dimensional directional sensor networks, the three-dimensional directional sensor networks increase 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 strengthening the monitoring area coverage rate and monitoring capability of sensor nodes. We propose a path self-deployment algorithm three-dimension path self-deployment algorithm (TPSA) based on above issues. The concept of virtual force extends from two-dimensional to three-dimensional, including target path control. The node gets locational information about monitoring target and target path in the initialisation, 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 that the proposed algorithm enables better node control in the deployment process and improves the efficiency of the sensor node deployment.

Online publication date: Mon, 09-Sep-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Computing and Networking (IJHPCN):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com