Sensing coverage for randomly distributed wireless sensor networks in shadowed environments

@article{Tsai2006SensingCF,
  title={Sensing coverage for randomly distributed wireless sensor networks in shadowed environments},
  author={Yuh-Ren Tsai and Tien-Yu Lin and Kai-Jie Yang},
  journal={IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06)},
  year={2006},
  volume={1},
  pages={4 pp.-}
}
Sensing coverage is viewed as one of the critical measures of the performance offered by a sensor network. In previous studies, the sensing range of a node is generally assumed to be a determinate value in all directions. For most types of sensing signals emitted from a far field, the obstructions in the propagation path will induce an extra loss in the received signal power, and cause a large variation, referred to as shadowing effects, in the received signal strength. The objective of this… CONTINUE READING

Figures, Tables, and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 60 CITATIONS

Modelling sensing radius for efficient wireless sensor deployment

  • 2012 International Symposium on Communications and Information Technologies (ISCIT)
  • 2012
VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

On the impact of node failure on network coverage in wireless sensor network

  • 2012 5th International Conference on Computers and Devices for Communication (CODEC)
  • 2012
VIEW 4 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Performance on SK-Coverage in WSN of the Forest Detection

  • 2010 Third International Symposium on Information Science and Engineering
  • 2010
VIEW 9 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Shadowing Effects and Edge Effect on Sensing Coverage for Wireless Sensor Networks

  • 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing
  • 2009
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Sensing Models and Its Impact on Network Coverage in Wireless Sensor Network

  • 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems
  • 2008
VIEW 6 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Comparison of optimum density of sensor nodes required for desired coverage in a realistic scenario using sensing models

  • 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT)
  • 2016
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2007
2019

CITATION STATISTICS

  • 14 Highly Influenced Citations

References

Publications referenced by this paper.
SHOWING 1-10 OF 10 REFERENCES

A study of the coverage of large-scale sensor networks

  • 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975)
  • 2004

Estimating coverage holes and enhancing coverage in mixed sensor networks

  • 29th Annual IEEE International Conference on Local Computer Networks
  • 2004
VIEW 1 EXCERPT

Critical density thresholds for coverage in wireless sensor networks

  • 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003.
  • 2003
VIEW 1 EXCERPT

Sensor placement for grid coverage under imprecise detections

  • Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
  • 2002
VIEW 1 EXCERPT

Chakrabarty and S . S . Iyengar , “ Sensor placement for grid coverage under imprecise detections

K. Dhillon
  • Proc . the Fifth International Conference on Information Fusion