International Journal of Autonomous and Adaptive Communications Systems

Sun, Li

2023 International Journal of Autonomous and Adaptive Communications Systems

doi: 10.1504/ijaacs.2023.132507

This paper proposes a method based on dynamic storage chain to overcome the problem of large amount of data in the internet of things (IOT). In this method, ECC and D-H are used as encryption tools of the whole architecture to realise encrypted communication between lot devices. Combined with the blockchain technology, the IOT node access and the IOT dynamic data are stored to promote the dynamic data between IOT nodes to be stored in the offline storage structure, so as to achieve the purpose of secure storage of IOT dynamic data. The experimental results show that the average data storage time is 0.40 s, the maximum root mean square error is 0.06, and the cost is controlled within 34,500 yuan, which can effectively realise the security of IOT nodes.

Zhang, Chunzi

2023 International Journal of Autonomous and Adaptive Communications Systems

doi: 10.1504/ijaacs.2023.132515

Aiming at the problems of long response time and poor data de-noising effect in the traditional online monitoring method for resource allocation, this paper proposes an online monitoring method for English education resource allocation in the Internet of things learning environment. The denoising method based on wavelet time domain is used to denoise English education resources in the Internet of things learning environment. After denoising, English teaching resources are allocated by wavelet neural network. According to the time threshold, the time window used in the allocation of English teaching resources is determined. The simulation results show that the proposed method has the advantages of short response time, better data denoising effect, low monitoring error rate and reliability.

Lin, Bingchen

2023 International Journal of Autonomous and Adaptive Communications Systems

doi: 10.1504/ijaacs.2023.132506

In order to overcome the problems of low recognition accuracy and poor reliability of traditional optical network abnormal data identification methods, a new optical network abnormal data recognition method based on WiFi triangulation positioning is proposed. Time series analysis method is used to analyse the channel model of optical network to obtain the temporal characteristics of abnormal data in optical network. Hyperbolic frequency modulation decomposition method is used to detect the time domain characteristics of abnormal data, and the total energy of abnormal data in time and frequency domain is obtained. The abnormal data signal model is established by the energy density characteristics of abnormal data, and the specific position of abnormal data in the abnormal data signal model after filtering is identified by using WiFi triangle positioning algorithm. The experimental results show that the accuracy of the method is higher than 95%, and the recognition performance is good.

Deng, Hongli; Yang, Tao

2023 International Journal of Autonomous and Adaptive Communications Systems

doi: 10.1504/ijaacs.2023.132517

In order to overcome the low security of privacy data in wireless sensor network, this paper proposes a new encryption and decryption algorithm for privacy data in wireless sensor network based on dynamic key. In this method, the dynamic key pool update mechanism is introduced to effectively avoid node leakage. At the same time, the authentication and update mechanisms are further introduced to increase the reliability of information sources. The integrity of data is artificially destroyed by introducing data disturbance. At the same time, the privacy data of wireless sensor network is encrypted according to the new key distribution algorithm in the process of data exchange. According to the requirements, specific algorithms are called to perform dynamic decryption to meet different business scenarios. The experimental results show that the key leakage probability is always below 0.10%, and the execution efficiency is significantly higher, up to 99%. The cost of the four algorithms is the lowest, with an average of 194,600 yuan. The effectiveness and superiority of the proposed method are verified.

Chakraborty, Mithun; Kandar, Debdatta; Maji, Bansibadan

2023 International Journal of Autonomous and Adaptive Communications Systems

doi: 10.1504/ijaacs.2023.132505

The technological advancement in wireless communication has evolved the futuristic concept of smart cities, wherein the objects will be intelligent in the sense that they can communicate among each other and take decision. The smart cities will ensure increased road safety, traffic mobility, sustain environment by means of smart vehicle. The smart vehicles should be equipped with simultaneous intelligent sensing and communication technologies to enable for increased road safety, traffic mobility. This requires the joint operation of radar and communication without interference. The aim of the paper is to develop an integrated radar radio platform without interference between the radar and the radio. The concept substantiated here is to separate the radar and radio carrier in phase angle. The generated waveform shows the phase angle of frequency modulated continuous wave radar waveform changes from 0 to π at around 8 GHz when the communication waveform changes from π to 0.

El-Amrani, Abderrahim; Boukili, Bensalem; Hajjaji, Ahmed El; Boumhidi, Ismail

2023 International Journal of Autonomous and Adaptive Communications Systems

doi: 10.1504/ijaacs.2023.132514

This paper considers the problem of H∞ model reduction design for two-dimensional (2D) discrete-time Takagi-Sugeno (T-S) fuzzy systems described by Roesser model, over finite frequency (FF) domain. The problem to be solved in the paper is to find a reduced-order model such that the approximation error system is asymptotically stable, which is able to approximate the original T-S fuzzy system with comparatively small and minimised H∞ performance when frequency ranges of noises are known beforehand. Via the use of the generalised Kalman Yakubovich Popov (gKYP) lemma, new design conditions guaranteeing the FF H∞ model reduction are established in terms of linear matrix inequalities (LMIs). To highlight the effectiveness of the proposed H∞ model reduction design, a numerical example is given to illustrate the effectiveness and the less conservativeness of the proposed approach.