Data gathering with distributed rateless coding based on enhanced online fountain codes over wireless sensor networks

Yi, Benshun; Xiang, Mian; Huang, Taiqi; Huang, Haojun; Qiu, Kang; Li, Weizhong

doi:10.1016/j.aeue.2018.05.029

Cited by 12 publications

(5 citation statements)

References 21 publications

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“…For example, fountain codes can be used in traditional multipath Transmission Control Protocol (TCP) connections to reduce the heterogeneity of different paths [81] . Fountain codes also display superior performance in data storage [82] and data distribution [83] scenarios. In addition, for scenarios where data such as video multicast applications [84,85] have different priorities, fountain codes with unequal error protection have also been proposed.…”

Section: Fountain Codementioning

confidence: 99%

Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology

Cai

2020

Intell. and Converged Netw.

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For a future scenario where everything is connected, cognitive technology can be used for spectrum sensing and access, and emerging coding technologies can be used to address the erasure of packets caused by dynamic spectrum access and realize cognitive spectrum collaboration among users in mass connection scenarios. Machine learning technologies are being increasingly used in the implementation of smart networks. In this paper, after an overview of several key technologies in the cognitive spectrum collaboration, a joint optimization algorithm of dynamic spectrum access and coding is proposed and implemented using reinforcement learning, and the effectiveness of the algorithm is verified by simulations, thus providing a feasible research direction for the realization of cognitive spectrum collaboration.

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Section: Fountain Codementioning

confidence: 99%

Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology

Cai

2020

Intell. and Converged Netw.

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“…The experimental result demonstrates the performance of the proposed scheme, which is better than the existing schemes. In another study by Yi et al, an enhanced online fountain coding scheme was proposed [27]. Hence, to reliably sensed data gathering over WSNs, the authors further designed a coding scheme based on the proposed improved online fountain codes.…”

Section: A Data Collection In Wireless Sensor Network (Wsns)mentioning

confidence: 99%

Data Collection in Sensor Cloud: Recent Advances, Taxonomy, Use Cases and Open Challenges

Ali¹

2020

Preprint

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<div>In recent years, Wireless Sensor Networks (WSNs) technologies are used in many important</div><div>areas, including weather forecasting, security, environmental monitoring, health care, and industry.</div><div>Nonetheless, due to the constraints of WSNs in terms of energy, processing, connectivity, computation and</div><div>data integrity. An important issue in this research field is the efficient management of the large number</div><div>of WSN’s data. Therefore, there is a need for strong and scalable high-performance computing and large</div><div>storage infrastructure for real-time processing and storage of WSN’s data. This article attempts to discuss</div><div>data collection methods in WSNs, sensor cloud, and IoT. Also, in this context, a general overview of</div><div>WSNs and sensor cloud platforms, including their definitions, architectures, and applications are given.</div><div>We investigate, highlight and report recent advances in data collection technology by categorizing and</div><div>classifying data collection methods in WSNs, sensor cloud, IoT and developing a taxonomy based on</div><div>these classifications. Furthermore, the analysis and synthesis of existing works in this research domain</div><div>is highlighted. The identification of key research challenges for future work and use case in this research</div><div>domain were also highlighted and discussed.</div>

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“…In Reference [31], Dong et al proposed a dynamic frame length control strategy for sensor networks, reducing communication overheads and improving energy utilization. The use of erasure coding in Reference [32,33] is used for data transmission in multi-hop of wireless sensor network (WSN) to improve network throughput, energy efficiency, and high reliability while greatly reducing end-to-end delay. Unlike the active radio communication scenarios described above, the good performance of backscatter communication is affected by channel conditions and energy-harvesting conditions.…”

Section: Related Workmentioning

confidence: 99%

Fast and Reliable Burst Data Transmission for Backscatter Communications

Zhao

Liu

2019

Sensors

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Computational radio frequency identification (CRFID) sensors are able to transfer potentially large amounts of data to the reader in the radio frequency range. However, the existing EPC C1G2 protocol is inefficient when there are abundant critical and emergency data to be transmitted and cannot adapt to changing energy-harvesting and channel conditions. In this paper, we propose a fast and reliable method for burst data transmission by fragmenting large data packets into blocks and we introduce a burst transmission mechanism to optimize the EPC C1G2 communication procedure for burst transmission when there are critical and emergency data to be transmitted. In addition, we utilize erasure codes to reduce Acknowledgement (ACK) delay and to improve system reliability. Our results show that our proposed scheme significantly outperforms the current fixed frame length approach and the dynamic frame length and charging time adaptation scheme (DFCA) and that the goodput is close to the theoretically optimal value under different energy-harvesting and channel conditions.

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Data gathering with distributed rateless coding based on enhanced online fountain codes over wireless sensor networks

Cited by 12 publications

References 21 publications

Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology

Intelligent cognitive spectrum collaboration: Convergence of spectrum sensing, spectrum access, and coding technology

Data Collection in Sensor Cloud: Recent Advances, Taxonomy, Use Cases and Open Challenges

Fast and Reliable Burst Data Transmission for Backscatter Communications

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