Research Article
An Attack-Resistant Weighted Least Squares Localization Algorithm Based on RSSI
@INPROCEEDINGS{10.1007/978-3-030-76063-2_32, author={Yitong Liu and Jun Peng and Xingcheng Liu and Yi Xie and Zhao Tang}, title={An Attack-Resistant Weighted Least Squares Localization Algorithm Based on RSSI}, proceedings={Science and Technologies for Smart Cities. 6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings}, proceedings_a={SMARTCITY}, year={2021}, month={5}, keywords={Wireless sensor networks Malicious nodes Secure localization Sequential probability ratio test Weighted least squares}, doi={10.1007/978-3-030-76063-2_32} }- Yitong Liu
Jun Peng
Xingcheng Liu
Yi Xie
Zhao Tang
Year: 2021
An Attack-Resistant Weighted Least Squares Localization Algorithm Based on RSSI
SMARTCITY
Springer
DOI: 10.1007/978-3-030-76063-2_32
Abstract
As an important part of the Internet of things (IoT), wireless sensor networks (WSNs) have been applied in many fields. Most applications require accurate location information, hence node localization is one of the important issues in WSNs. It is very important to ensure the security of localization when WSNs are under attack. A new attack-resistant weighted least squares (ARWLS) algorithm based on RSSI was proposed in the paper. The algorithm is oriented to the problem solution for the situation that the attacker influences the system by tampering with the transmitting power in the localization mechanism. The proposed algorithm can be used in the attack scenarios. Simulations results show that, compared with other algorithms, the proposed algorithm has merits in localization accuracy and robustness to resisting the tampering activities of attackers.
