Influence of Manchester encoding over spreading codes used in multiple access techniques for IoT purposes

Badea, Alexandru; Halunga, Simona; Berceanu, Madalina; Găină, Mihai; Capota, Cristian; Stancu, Eugen

doi:10.1109/siitme47687.2019.8990780

Cited by 3 publications

(11 citation statements)

References 6 publications

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“…When PE is temporarily unable to send or receive data on time or at all, an omission abnormality will occur. However, if the protocol uses Manchester code [ 31 ] to properly encode the exchanged data before transmission, the receiver PE can always identify the dormant abnormality. The behavior of malicious abnormal PE is unpredictable and incredible.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, through the execution of OCDAM, the interference of data transmitted from abnormal PEs to all normal PEs can be eliminated. When PE performs data exchanges, all data will be encoded using Manchester encoding [ 31 ], which can eliminate the influence of dormant abnormal PEs. Then, the influence of malicious abnormal PEs can be eliminated by using special data structures and voting functions.…”

Section: The Optimal Consensus With Dual Abnormality Mode (Ocdam)mentioning

confidence: 99%

“… All PEs of ECIoT (including CIoT PE, Edge PE, and Cloud PE) can be uniquely identified. All transmitted data will be encoded using Manchester code [ 31 ] when PE performs data exchange. Therefore, the dormant abnormal PE can be detected.…”

Section: The Optimal Consensus With Dual Abnormality Mode (Ocdam)mentioning

confidence: 99%

“…All transmitted data will be encoded using Manchester code [ 31 ] when PE performs data exchange. Therefore, the dormant abnormal PE can be detected.…”

Section: The Optimal Consensus With Dual Abnormality Mode (Ocdam)mentioning

confidence: 99%

“…The task of the Data Gathering Stage is to collect data from other PEs through ECIoT. In addition, all data are encoded using Manchester code [ 31 ]; when PE is transmitting data, the influence of dormant abnormal PEs can be eliminated in the Data Gathering Stage. Then, the data received in the Data Gathering Stage are used by each normal PE to determine the common consensus value in the Consensus Decision Stage.…”

Section: The Optimal Consensus With Dual Abnormality Mode (Ocdam)mentioning

confidence: 99%

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Optimal Consensus with Dual Abnormality Mode of Cellular IoT Based on Edge Computing

Pan

Wang

2021

Sensors

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The continuous development of fifth-generation (5G) networks is the main driving force for the growth of Internet of Things (IoT) applications. It is expected that the 5G network will greatly expand the applications of the IoT, thereby promoting the operation of cellular networks, the security and network challenges of the IoT, and pushing the future of the Internet to the edge. Because the IoT can make anything in anyplace be connected together at any time, it can provide ubiquitous services. With the establishment and use of 5G wireless networks, the cellular IoT (CIoT) will be developed and applied. In order to provide more reliable CIoT applications, a reliable network topology is very important. Reaching a consensus is one of the most important issues in providing a highly reliable CIoT design. Therefore, it is necessary to reach a consensus so that even if some components in the system is abnormal, the application in the system can still execute correctly in CIoT. In this study, a protocol of consensus is discussed in CIoT with dual abnormality mode that combines dormant abnormality and malicious abnormality. The protocol proposed in this research not only allows all normal components in CIoT to reach a consensus with the minimum times of data exchange, but also allows the maximum number of dormant and malicious abnormal components in CIoT. In the meantime, the protocol can make all normal components in CIoT satisfy the constraints of reaching consensus: Termination, Agreement, and Integrity.

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Section: Related Workmentioning

confidence: 99%

Section: The Optimal Consensus With Dual Abnormality Mode (Ocdam)mentioning

confidence: 99%

Section: The Optimal Consensus With Dual Abnormality Mode (Ocdam)mentioning

confidence: 99%

“…All transmitted data will be encoded using Manchester code [ 31 ] when PE performs data exchange. Therefore, the dormant abnormal PE can be detected.…”

Section: The Optimal Consensus With Dual Abnormality Mode (Ocdam)mentioning

confidence: 99%

Section: The Optimal Consensus With Dual Abnormality Mode (Ocdam)mentioning

confidence: 99%

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Optimal Consensus with Dual Abnormality Mode of Cellular IoT Based on Edge Computing

Pan

Wang

2021

Sensors

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Chinese dialect speech recognition: a comprehensive survey

Li,

Mai,

Wang

et al. 2024

Artif Intell Rev

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As a multi-ethnic country with a large population, China is endowed with diverse dialects, which brings considerable challenges to speech recognition work. In fact, due to geographical location, population migration, and other factors, the research progress and practical application of Chinese dialect speech recognition are currently at different stages. Therefore, exploring the significant regional heterogeneities in specific recognition approaches and effects, dialect corpus, and other resources is of vital importance for Chinese speech recognition work. Based on this, we first start with the regional classification of dialects and analyze the pivotal acoustic characteristics of dialects, including specific vowels and tones patterns. Secondly, we comprehensively summarize the existing dialect phonetic corpus in China, which is of some assistance in exploring the general construction methods of dialect phonetic corpus. Moreover, we expound on the general process of dialect recognition. Several critical dialect recognition approaches are summarized and introduced in detail, especially the hybrid method of Artificial Neural Network (ANN) combined with the Hidden Markov Model(HMM), as well as the End-to-End (E2E). Thirdly, through the in-depth comparison of their principles, merits, disadvantages, and recognition performance for different dialects, the development trends and challenges in dialect recognition in the future are pointed out. Finally, some application examples of dialect speech recognition are collected and discussed.

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Performance Analysis of Multi-Rate Coherent BPSK-OCDMA Network for Multimedia Applications

Morsy

2022

2022 8th International Engineering Conference on Sustainable Technology and Development (IEC)

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Influence of Manchester encoding over spreading codes used in multiple access techniques for IoT purposes

Cited by 3 publications

References 6 publications

Optimal Consensus with Dual Abnormality Mode of Cellular IoT Based on Edge Computing

Optimal Consensus with Dual Abnormality Mode of Cellular IoT Based on Edge Computing

Chinese dialect speech recognition: a comprehensive survey

Performance Analysis of Multi-Rate Coherent BPSK-OCDMA Network for Multimedia Applications

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