Secure Sensor Localization in Wireless Sensor Networks based on Neural Network
- DOI
- 10.1080/18756891.2012.733229How to use a DOI?
- Keywords
- Wireless sensor networks, localization, security, trust, neural network
- Abstract
Localization of sensor nodes in wireless sensor networks (WSNs) is very important since it associates spatial context with the data collected by sensor nodes and used in applications. Rapid development of wireless sensor technologies and wide applications of wireless sensor networks have also made security in sensor localization a primary concern as well as a great challenge. Without adequate security measures, the performance of sensor localization, e.g., the accuracy of localization results, cannot be ensured in hostile environments. In this paper, we propose a trust-based secure sensor localization scheme (TSLS) for WSNs following the theory of neural network (NN). The proposed TSLS scheme can ensure that unknown sensor nodes will get credible information to perform localization through the evaluation of beacon nodes in a WSN. The evaluation model is comprised of the evaluation of both the identity and the behavior of beacon nodes as well as a filtering mechanism to deal with the slander behaviors between beacon nodes. Simulation results show that the proposed TSLS scheme can improve the accuracy of sensor localization in hostile environments for both static and dynamic WSNs.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Ting Zhang AU - Jingsha He AU - Yang Zhang PY - 2012 DA - 2012/09/01 TI - Secure Sensor Localization in Wireless Sensor Networks based on Neural Network JO - International Journal of Computational Intelligence Systems SP - 914 EP - 923 VL - 5 IS - 5 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2012.733229 DO - 10.1080/18756891.2012.733229 ID - Zhang2012 ER -