Distributed BATS-Based Schemes for Uplink of Industrial Internet of Things

Yue, Jing; Xiao, Ming; Pang, Zhibo

doi:10.1109/icc.2019.8761656

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…Further, a BATS-based V2X communication scheme was developed, where a vehicle node determines which batch should be forwarded first according to its contribution to the transmission [17]. In [13], BATS was employed to improve the reliability of the uplink transmissions in industrial Internet of Things. In underwater acoustic multi-hop networks, the utilization of BATS under different channel conditions was evaluated [12].…”

Section: B Related Workmentioning

confidence: 99%

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Joint BATS Code and Periodic Scheduling in Multihop Wireless Networks

2020

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Batched sparse (BATS) code is a promising technology for reliable data transmission in error-prone environments. A BATS code consists of an outer code and an inner code. It has been shown that a well-designed inner code is critical to the performance of BATS. Though great efforts have been made in the design of inner codes, the impact of scheduling (that determines when inner codes take place at nodes in the path) on inner codes is still unclear. In this paper, we study the joint design of inner code and scheduling in multihop wireless networks. We first introduce a new network utility from which to associate inner codes with scheduling, and formulate the coding constraint and the scheduling constraint using independent sets of a graph. With the utility, the joint design problem is then transformed to a network utility maximization problem under the constraints. We next exploit the property of the proposed optimization problem and reveal the relation between the expected batch transfer matrix rank and maximal independent sets. In the light of their relationship, we propose joint coding and scheduling rules and show that a periodic scheduling can be used to achieve provable performance guarantees. However, under most realistic coding settings, the proposed coding and scheduling problem is NP-hard. In order to meet the practical needs of the implementation, we develop greedy algorithms that attempt to iteratively improve the current best solution. Numerical results show that our algorithms enables us to approach the utilization of multi-hop wireless networks with a relatively low end-to-end delay. INDEX TERMS Network coding, batched sparse code, network utility maximization, scheduling.

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Section: B Related Workmentioning

confidence: 99%

“…These features make BATS codes suitable for multihop wireless networks. Afterwards, many works have been concerned with the implementation of BATS codes in a variety of wireless applications, such as wireless sensor networks [10], vehicular networks [17], underwater acoustic networks [12], Internet of Things (IoT) [13], etc..…”

Section: Introductionmentioning

confidence: 99%

Joint BATS Code and Periodic Scheduling in Multihop Wireless Networks

2020

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“…Industrial internet has become an indispensable component of intelligent manufacturing and has been widely used in many applications, such as product traceability, product life management, supply chain optimization, and health management [1][2][3][4]. Since the industrial internet has the characteristics like large scale, complex structure, and difficult management [5][6][7], it is urgent to establish a flexible and scalable platform to detect and identify industrial internet protocols and to realize the interconnection under such scenario [8]. In particular, the identification of industrial internet protocols can be divided into two categories: known protocol identification and unknown protocol identification [9].…”

Section: Introductionmentioning

confidence: 99%

An Unknown Protocol Identification Method for Industrial Internet

Zhu

Jiang

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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This paper focuses on the problem of protocol identification in the industrial internet and proposes an unknown protocol identification method. We first establish an industrial internet protocol detection model to classify known protocols, unknown protocols, and interference signals and then store the unknown protocols for manual analysis. Based on the Eps-neighborhood idea, we further develop an Eps-neighborhood hit algorithm and propose an identification method to identify unknown protocols, where the supervised learning classification of unknown protocol detection is realized. Finally, extensive experimental results are provided to illustrate our theoretical findings. It indicates that the proposed method has an average screening accuracy of 94.675% and 95.159% for unknown protocols encoded in binary and ASCII, respectively, while the average screening accuracy of known protocols in binary and ASCII encoding is 94.242% and 94.075%.

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“…On the other hand, Reference [ 41 ] also suggested that burst packet loss can reduce the advantage of using BATS codes. A broad range of application scenarios of BATS codes have been discussed in the literature, including wireless ad-hoc networks [ 45 ], underwater acoustic networks [ 45 , 46 ], deep space networks [ 47 ] and edge/fog computing [ 48 , 49 ].…”

Section: Introductionmentioning

confidence: 99%

A Protocol Design Paradigm for Batched Sparse Codes

Yin

Yeung

Yang

2020

Entropy

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Internet of Things (IoT) connects billions of everyday objects to the Internet. The mobility of devices can be facilitated by means of employing multiple wireless links. However, packet loss is a common phenomenon in wireless communications, where the traditional forwarding strategy undergoes severe performance issues in a multi-hop wireless network. One solution is to apply batched sparse (BATS) codes. A fundamental difference from the traditional strategy is that BATS codes require the intermediate network nodes to perform recoding, which generates recoded packets by network coding operations. Literature showed that advanced recoding schemes and burst packet loss can enhance and diminish the performance of BATS codes respectively. However, the existing protocols for BATS codes cannot handle both of them at the same time. In this paper, we propose a paradigm of protocol design for BATS codes. Our design can be applied in different layers of the network stack and it is compatible to the existing network infrastructures. The modular nature of the protocol can support different recoding techniques and different ways to handle burst packet loss. We also give some examples to demonstrate how to use the protocol.

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Distributed BATS-Based Schemes for Uplink of Industrial Internet of Things

Cited by 4 publications

References 13 publications

Joint BATS Code and Periodic Scheduling in Multihop Wireless Networks

Joint BATS Code and Periodic Scheduling in Multihop Wireless Networks

An Unknown Protocol Identification Method for Industrial Internet

A Protocol Design Paradigm for Batched Sparse Codes

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