Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Toward Autonomous Mobile Sensor Networks Technology

Published

Author(s)

Kamran Sayrafian, Hamid Mahboubi, Amir G. Aghdam

Abstract

Mobile sensor networking technology has attracted considerable attention in various research communities in recent years due to their widespread applications in civilian and military environments. One objective when using mobile sensors is to obtain maximum field coverage by properly deploying sensor nodes. In many real-world applications a priori knowledge about the best deployment position for the sensors is not available. However, the motion capability of the sensors could allow each node to adjust its position (i.e. relocate) so that a better (and ultimately maximal) coverage is achieved. In this paper, a novel autonomous joint sensing range and relocation control algorithm is presented that achieves improved coverage and network lifetime at the same time. In the proposed algorithm, the sensing range of each sensor is adjusted iteratively based on its residual energy. At the same time, the sensor is directed to move within its corresponding multiplicatively weighted Voronoi (MWVoronoi) region to ultimately increase sensing coverage in the field. Simulation results demonstrate the efficacy of the technique.
Citation
IEEE Transactions on Industrial Informatics
Volume
12
Issue
2

Citation

Sayrafian, K. , Mahboubi, H. and Aghdam, A. (2016), Toward Autonomous Mobile Sensor Networks Technology, IEEE Transactions on Industrial Informatics, [online], https://doi.org/10.1109/TII.2016.2521710 (Accessed December 11, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created January 26, 2016, Updated May 16, 2020