Intelligent Content Caching Strategy in Autonomous Driving Toward 6G

Zhao, Liang; Li, Hongxuan; Lin, Na; Lin, Mingwei; Fan, Cheng; Shi, Junling

doi:10.1109/tits.2021.3114199

Cited by 67 publications

(18 citation statements)

References 39 publications

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“…Return Cand l ; Algorithm 5: The dummy location selection algorithm. 8 Wireless Communications and Mobile Computing so, the generalization location needs to be allocated through k − 1 cycles, and each cycle needs to update the matrix and calculate the matrix similarity. The algorithm's time complexity is Oððk − 1Þ½ðjsj − 1Þð3 + jMj * jMjÞ + 2Þ = Oðk * s jMj 2 Þ.…”

Section: Algorithm Complexity Analysismentioning

confidence: 99%

“…Hence, under the premise of ensuring the security of the blockchain [2,3], it is already an issue worthy of attention to protect the sensitive information of transaction users. With the constant development of mobile networks [4,5], vehicular networks [6][7][8][9], wireless communications network [10], and GPS-enabled devices, a mass of check-in data [11] of mobile users has been collected and utilized.…”

Section: Introductionmentioning

confidence: 99%

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Protecting Check-In Data Privacy in Blockchain Transactions with Preserving High Trajectory Pattern Utility

Xia

Hou

Liu

et al. 2022

Wireless Communications and Mobile Computing

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Because the blockchain is secure and untamperable, it has been widely used in many industries, such as the financial industry, digital tokens, and e-commerce logistics. The remarkable security feature of the blockchain is that the blockchain verifies the transaction initiated on each block through the node, and its process is broadcast throughout the whole network to let everyone know. On the one hand, this ensures the security of every transaction, but on the other hand, it is easy to cause privacy disclosure problems for transaction users. Therefore, under the premise of ensuring the security of the blockchain, it has become a hot issue to protect the sensitive information of transaction users. A check-in privacy protection (CPP) algorithm based on check-in location generalization is proposed in this paper, which can be applied to blockchain transactions to solve the privacy leakage problem of transaction users’ sensitive information. CPP algorithm not only protects the privacy of check-in data but also keeps the high utility of trajectory pattern data. Firstly, location types are recommended in the sensitive check-in location generalization based on the user’s trajectory pattern by using Markov chain technology. Secondly, to make sure that the generalized locations can be scattered as much as possible to prevent the attacker from deducing back, a heuristic rule is designed to select the generalized location based on the recommended location types, and at the same time, the similarity between the anonymous trajectory and the original trajectory is maintained. In addition, a generalized location search strategy is designed to improve the efficiency of the algorithm. Based on the real spatial-temporal check-in data, the results of the experiment indicate that our algorithm can effectively protect the privacy of sensitive check-in while ensuring the high utility of trajectory pattern data.

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Section: Algorithm Complexity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Protecting Check-In Data Privacy in Blockchain Transactions with Preserving High Trajectory Pattern Utility

Xia

Hou

Liu

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The proposed DR-MQLS algorithm DR-MQLS estimates the reward based on historical observations and considers estimation uncertainty through the confidence bound based on UCB. 43 Therefore, the gateway estimates its preference 44 toward mth QoS level as…”

Section: Problem Transformationmentioning

confidence: 99%

Delay-reliability-aware protocol adaption and quality of service guarantee for message queuing telemetry transport-empowered electric Internet of things

Zhang

Zhao

et al. 2022

International Journal of Distributed Sensor Networks

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Message queuing telemetry transport has emerged as a promising communication protocol for resource-constrained electric Internet of things due to high bandwidth utilization, simple implementation, and various quality of service levels. Enabled by message queuing telemetry transport, electric Internet of things gateways adopt dynamic protocol adaptation, conversion, and quality of service level selection to realize bidirectional communication with massive devices and platforms based on heterogeneous communication protocols. However, protocol adaptation and quality of service guarantee in message queuing telemetry transport-empowered electric Internet of things still faces several challenges, such as unified communication architecture, differentiated quality of service requirements, lack of quality of service metric models, and incomplete information. In this paper, we first establish a unified communication architecture for message queuing telemetry transport-empowered electric Internet of things for adaptation and conversion of heterogeneous protocols. Second, we formulate the quality of service level selection optimization problem to minimize the weighted sum of packet-loss ratio and delay. Then, a delay-reliability-aware message queuing telemetry transport quality of service level selection algorithm based on upper confidence bound is proposed to learn the optimal quality of service level through dynamically interacting with the environment. Compared with single and fixed quality of service level selection strategies, delay-reliability-aware message queuing telemetry transport quality of service level selection can effectively reduce the weighted sum of delay and packet-loss ratio and satisfy the differentiated quality of service requirements of electric Internet of things.

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“…On the other hand, power services such as differential protection and precise load control require low latency. However, traditional cloud computing where cloud servers locate far away from EIoT devices causes large transmission delay and low energy efficiency [9,10].…”

Section: Introductionmentioning

confidence: 99%

Delay and Energy-Efficiency-Balanced Task Offloading for Electric Internet of Things

et al. 2022

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With the development of the smart grid, massive electric Internet of Things (EIoT) devices are deployed to collect data and offload them to edge servers for processing. However, the task of offloading optimization still faces several challenges, such as the differentiated quality of service (QoS) requirements, decision coupling among multiple devices, and the impact of electromagnetic interference. In this paper, a low-complexity delay and energy-efficiency-balanced task offloading algorithm based on many-to-one two-sided matching is proposed for an EIoT. The proposed algorithm shows its novelty in the dynamic tradeoff between energy efficiency and delay as well as in low-complexity and stable task offloading. Specifically, we firstly formulate the minimization problem of weighted difference between delay and energy efficiency to realize the joint optimization of differentiated QoS requirements. Then, the joint optimization problem is transformed into a many-to-one two-sided matching problem. Through continuous iteration, a stable matching between devices and servers is established to cope with decision coupling among multiple devices. Finally, the effectiveness of the proposed algorithm is validated through simulations. Compared with two advanced algorithms, the weighted difference between the energy efficiency and delay of the proposed algorithm is increased by 29.01% and 45.65% when the number of devices is 120, and is increased by 11.57% and 22.25% when the number of gateways is 16.

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Intelligent Content Caching Strategy in Autonomous Driving Toward 6G

Cited by 67 publications

References 39 publications

Protecting Check-In Data Privacy in Blockchain Transactions with Preserving High Trajectory Pattern Utility

Protecting Check-In Data Privacy in Blockchain Transactions with Preserving High Trajectory Pattern Utility

Delay-reliability-aware protocol adaption and quality of service guarantee for message queuing telemetry transport-empowered electric Internet of things

Delay and Energy-Efficiency-Balanced Task Offloading for Electric Internet of Things

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