Abstract
In this paper, we consider the issue of angular mobility assisted coverage enhancement in directional camera sensor networks. in our model, each sensor can visually capture (i.e. sense) events within a sector in its field of view and can also rotate about a fixed axis to enhance its coverage. the problem we particularly address is how to enhance blanket coverage leveraging angular mobility of the sensors in the network starting from an arbitrary initial deployment. the core idea of our algorithm, called the Face Away algorithm, is to use the known directions of neighboring sensors to find the direction with the least density of neighbors for each sensor, in an attempt to minimize the sensing range overlap between neighboring sensors. the algorithm is localized, lightweight and purely distributed. Simulation results are presented to illustrate the performance of our algorithm as a function of various parameters like number of sensor nodes, sensing range, and angle of view. © 2009 IEEE.
Recommended Citation
C. Kandoth and S. Chellappan, "Angular Mobility Assisted Coverage in Directional Sensor Networks," NBiS 2009 - 12th International Conference on Network-Based Information Systems, pp. 376 - 379, article no. 5349932, Institute of Electrical and Electronics Engineers, Dec 2009.
The definitive version is available at https://doi.org/10.1109/NBiS.2009.69
Department(s)
Computer Science
Keywords and Phrases
Algorithm; Angular; Coverage; Directional; Distributed; Face-away; Increase; Mobility; Sensors
International Standard Book Number (ISBN)
978-076953767-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 2009
