2012/04/14 by Ali Fard, Fard, Ali P., Mahdy Nabaee +1
Computer Science · Engineering · #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Networking and Internet Architecture (cs.NI) #Target Tracking and Data Fusion in Sensor Networks
paper · pdf · doi:10.48550/arxiv.1204.3141
openalex publication_date 2012/04/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Location information of sensor nodes has become an essential part of many applications in Wireless Sensor Networks (WSN). The importance of location estimation and object tracking has made them the target of many security attacks. Various methods have tried to provide location information with high accuracy, while lots of them have neglected the fact that WSNs may be deployed in hostile environments. In this paper, we address the problem of securely tracking a Mobile Node (MN) which has been noticed very little previously. A novel secure tracking algorithm is proposed based on Extended Kalman Filter (EKF) that is capable of tracking a Mobile Node (MN) with high resolution in the presence of compromised or colluding malicious beacon nodes. It filters out and identifies the malicious beacon data in the process of tracking. The proposed method considerably outperforms the previously proposed secure algorithms in terms of either detection rate or MSE. The experimental data based on different settings for the network has shown promising results.