http://iet.metastore.ingenta.com
1887

Convex Voronoi-inspired space partitioning for heterogeneous networks: a coverage-oriented approach

Convex Voronoi-inspired space partitioning for heterogeneous networks: a coverage-oriented approach

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Control Theory & Applications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This study addresses the problem of space-partitioning in heterogeneous sensor networks, where the nodes have uniform symmetric sensing patterns, although their maximum distance differs. Emphasis is given in the inappropriateness of classical spatial Voronoi tessellation for coverage purposes, compared to the proposed space-partitioning technique, which takes into account this heterogeneity. The latter's definition is reflected in a way that the assigned regions are convex sets (contrary to weighted Voronoi diagrams), their construction is computationally efficient, while special properties of Voronoi diagrams, which hold for homogeneous networks, are kept active. The proposed Voronoi definition degenerates into the classical one when the sensing radii of the nodes are equal. Examples are provided in order to emphasise in the efficacy of the proposed region-assignment scheme when dealing with heterogeneous networks, in contrast with classical Voronoi tessellation.

References

    1. 1)
    2. 2)
    3. 3)
      • X.Y. Li , P.J. Wan , O. Frieder . Coverage in wireless ad hoc sensor networks. IEEE Trans. Comput. , 112 , 753 - 763
    4. 4)
    5. 5)
      • Panousopoulou, A., Tzes, A.: `Utilization of mobile agents for Voronoi-based heterogeneous wireless sensor network reconfiguration', Proc. 2007 IEEE European Control Conf. (minitutorial session), 2007, Kos, Greece, p. 4276–4284.
    6. 6)
    7. 7)
      • Chen, Y.Q., Wang, Z., Liang, J.: `Automatic dynamic flocking in mobile actuator sensor networks by central Voronoi tessellations', Proc. Int. Conf. on Mechatronics and Automation, 2005, Niagara Falls, Ontario, Canada, p. 1630–1635.
    8. 8)
      • F. Aurenhammer , R. Klein , J.R. Sack , J. Uruttia . (1999) Voronoi diagrams, Handbook of computational geometry.
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • Gusrialdi, A., Hirche, S., Hatanaka, T., Fujita, M.: `Voronoi based coverage control with anisotropic sensors', Proc. 2008 American Control Conf., 2008, Seattle, Washington, USA, p. 736–741.
    16. 16)
      • Laventall, K., Cortés, J.: `Coverage control by robotic networks with limited-range anisotropic sensory', Proc. 2008 American Control Conf., 2008, Seattle, Washington, USA, p. 2666–2671.
    17. 17)
      • F. Aurenhammer . Power diagrams: properties, algorithms and applications. Comput. Geom. , 1 , 78 - 96
    18. 18)
    19. 19)
      • C. Friedrich . (2008) Lecture Notes in Computer Science, Virtual systems and multimedia.
    20. 20)
    21. 21)
    22. 22)
    23. 23)
      • F. Bullo , J. Cortés , S. Martinez . (2009) Distributed control of robotic networks.
    24. 24)
      • Stergiopoulos, J., Tzes, A.: `Voronoi-based coverage optimization for mobile networks with limited sensing range – a directional search approach', Proc. 2009 American Control Conf., 2009, Missouri, USA, p. 2642–2647.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cta.2009.0298
Loading

Related content

content/journals/10.1049/iet-cta.2009.0298
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address