RMTS: A robust clock synchronization scheme for wireless sensor networks

Journal of Computer Networks and Communications

et al. 2020

This paper presents an experimental campaign of transmission delay measurements under asynchronous condition for the communication-based train control (CBTC) systems. A three-stage asynchronous clock correction method is proposed. Before and after the working stage, the clock difference between transmitter and the receiver is calculated, moreover the relative offset and relative skew between two terminals of the working stage are derived, and it further leads towards the experimental verification of the transmission delay. In order to improve the measurement accuracy, the singular values are distinguished and eliminated in the test. Using this method, the transmission delay of the Long-Term Evolution for Metro (LTE-M) communication between the train and the signalling room in Shanghai Zhangjiang Metro Training Line is measured successfully, which demonstrates the effectiveness of the proposed one-way transmission delay test.

Section: Clock Drift Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Delay Testing Method for Off-Site Asynchronous LTE Networks Based on Singular Value Removal

Cui

Journal of Computer Networks and Communications

et al. 2020

“…R-Sync performs well in terms of energy-saving and accuracy. Xuxin Zhang et al, (2019) proposed a clock synchronization scheme based on maximum consensuses, which is called Robust Maximum Time Synchronization (RMTS) [ 20 ]. The proposed RMTS scheme adjusts the software parameters that are based on the estimation of relative skew and offset so that all nodes in the network can keep synchronization.…”

Section: Related Workmentioning

confidence: 99%

ARS: Adaptive Robust Synchronization for Underground Coal Wireless Internet of Things

Pang

Yin

et al. 2020

Sensors

Clock synchronization is still a vital and challenging task for underground coal wireless internet of things (IoT) due to the uncertainty of underground environment and unreliability of communication links. Instead of considering on-demand driven clock synchronization, this paper proposes a novel Adaptive Robust Synchronization (ARS) scheme with packets loss for mine wireless environment. A clock synchronization framework that is based on Kalman filtering is first proposed, which can adaptively adjust the sampling period of each clock and reduce the communication overhead in single-hop networks. The proposed scheme also solves the problem of outliers in data packets with time-stamps. In addition, this paper extends the ARS algorithm to multi-hop networks. Additionally, the upper and lower bounds of error covariance expectation are analyzed in the case of incomplete measurement. Extensive simulations are conducted in order to evaluate the performance. In the simulation environment, the clock accuracy of ARS algorithm is improved by 7.85% when compared with previous studies for single-hop networks. For multi-hop networks, the proposed scheme improves the accuracy by 12.56%. The results show that the proposed algorithm has high scalability, robustness, and accuracy, and can quickly adapt to different clock accuracy requirements.

“…It is worth noting that user's cloud operation of medical data is inseparable from a secure communication solution [17]. The most important part of communication is the encryption algorithm, and RC4 [18] and Elliptic curve cryptography (ECC) [19] are both integral parts of it.…”

Section: Introductionmentioning

confidence: 99%

A Secure Energy-Saving Communication and Encrypted Storage Model Based on RC4 for EHR

Liu

2020

IEEE Access

The commercialization of 5G has greatly promoted the development of medical Internet of Things (IoT). More medical devices connected to the Internet may further increase the communication power consumption. Meanwhile, privacy protection technique in cloud computing cannot match the rapid development of medical applications. Therefore, exploring secure, balanced and energy-efficient data transmission between medical devices and cloud servers is extremely challenging. This paper focuses on the security and energy consumption of medical electronic health record (EHR) data transmission and storage between cloud server and IoT device users. We build a secure energy-saving communication and encrypted storage model by adding secure energy-saving communication scheme and encryption algorithm to the traditional medical cloud model. Specifically, we propose a communication authentication algorithm MedGreen based on elliptic curve and bilinear pair. In the algorithm, the two communication parties can complete the key establishment and identity authentication only after one communication, which effectively balances the resource overhead of the key center and the user, and resists the Man-in-the-middle attack. Aiming at the characteristics of large repetition and high sensitivity of medical data, we present a secure data storage algorithm MedSecrecy based on Huffman compression and RC4. The algorithm not only maintains the RC4 encryption efficiency, reduces the amount of cipher text data, but also improves confidentiality, randomness and security of the key stream. Comprehensive analysis and simulations show that our system is secure, energy-saving and highly efficient for EHR. INDEX TERMS Electronic health records (EHR), Internet of Things (IoT), secure communication, data encryption, privacy protection.