Gradient descent approach for secure localization in resource constrained wireless sensor networks

Many sensor network related applications require precise knowledge of the location of constituent nodes. In these applications, it is desirable for the wireless nodes to be able to autonomously determine their locations before they start sensing and transmitting data. Most localization algorithms re...

Full description

Saved in:
Bibliographic Details
Main Authors: Garg, Ravi, Varna, Avinash L, Min Wu
Format: Conference Proceeding
Language:English
Subjects:
Additive noise
Distance measurement
Gaussian noise
Gradient descent
Intelligent networks
Intelligent sensors
Military computing
Monitoring
Secure localization
Surveillance
Voting
Wireless sensor networks
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Many sensor network related applications require precise knowledge of the location of constituent nodes. In these applications, it is desirable for the wireless nodes to be able to autonomously determine their locations before they start sensing and transmitting data. Most localization algorithms rely on anchor nodes whose locations are known to determine the positions of the remaining nodes. In an adversarial scenario, some of these anchor nodes could be compromised and used to transmit misleading information aimed at preventing the accurate localization of the remaining sensors. In this paper, a computationally efficient algorithm to determine the location of sensors that can resist such attacks is described. The proposed algorithm combines gradient descent with a selective pruning of inconsistent measurements to achieve good localization accuracy. Simulation results show that the proposed algorithm has performance comparable to existing schemes while requiring less computational resources.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2010.5495371