Sensor self-localization with beacon position uncertainty

@article{Vemula2009SensorSW,
  title={Sensor self-localization with beacon position uncertainty},
  author={Mahesh Vemula and M{\'o}nica F. Bugallo and Petar M. Djuri{\'c}},
  journal={Signal Processing},
  year={2009},
  volume={89},
  pages={1144-1154}
}
We propose algorithms for distributed sensor self-localization using beacon nodes. These beacon nodes broadcast some information which describes their positions. The sensor nodes with unknown location information utilize these descriptions along with the characteristics of received signals to obtain estimates of their positions. Sensors with resolved positions, in the successive stages of the algorithm also broadcast their location information to other sensors so that they can resolve their own… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 33 CITATIONS

Accurate sequential self-localization of sensor nodes in closed-form

  • Signal Processing
  • 2012
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

On the Particle-Assisted Stochastic Search Mechanism in Wireless Cooperative Localization

  • IEEE Transactions on Wireless Communications
  • 2016
VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Distributionally Robust Radio Frequency Localization

  • IEEE Transactions on Signal and Information Processing over Networks
  • 2019

A Low Overhead Efficient Localization Approach for Large Scale Wireless Sensor Networks

  • 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)
  • 2017
VIEW 1 EXCERPT
CITES BACKGROUND

Consensus-based joint target tracking and sensor localization

  • 2017 20th International Conference on Information Fusion (Fusion)
  • 2017
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

M

N. Patwari, A. O. Hero
  • Perkins, N.S. Correal, R.J. O’Dea, Relative location estimation in wireless sensor networks, IEEE Transactions on Signal Processing 51 (8)
  • 2003
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

The Hybrid Cramer-Rao Lower Bound - From Practice to Theory

  • Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.
  • 2006
VIEW 1 EXCERPT

Multi-modal sensor localization using a mobile access point

  • Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
  • 2005
VIEW 1 EXCERPT

Non-cooperative localization of binary sensors

  • IEEE/SP 13th Workshop on Statistical Signal Processing, 2005
  • 2005