A Simple Methodology that Efficiently Generates All Optimal Spanning Trees for the Cable-Trench Problem

Vasko, Francis J.; Lu, Yun; McNally, Bryan

doi:10.47852/bonviewjcce208918205514

Cited by 15 publications

(4 citation statements)

References 13 publications

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“…Besides the above‐discussed approaches, many advanced techniques are also proposed in the literature for different application fields, such as mobile cloud environment, 27‐30 fog computing, 31 and vehicular ad‐hoc network 32,33 . However, most of the conventional schemes are not directing the processing capability of user/IoT‐edge‐cloud architecture 34,35 .…”

Section: Related Workmentioning

confidence: 99%

Lightweight and efficient privacy‐preserving mutual authentication scheme to secure Internet of Things‐based smart healthcare

Das

Namasudra

2023

Trans Emerging Tel Tech

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In recent years, Internet of Things (IoT) technology has been adopted in numerous application areas, such as healthcare, agriculture, industrial automation, and many more. The use of IoT and other technologies like cloud computing and machine learning has made the modern healthcare system to be smart, automated, and efficient. However, the continuous proliferation of cyber‐attacks on IoT devices has increased IoT challenges like data security, privacy protection, authentication, and so forth. In smart healthcare systems, due to the lack of authentication protocols, attackers can undermine the availability, confidentiality, and integrity of both smart healthcare devices and data, which can be life‐threatening in some situations. In this article, a privacy‐preserving mutual authentication scheme for IoT‐enabled healthcare systems is proposed to achieve lightweight and effective authentication of network devices. To support the processing capabilities of the IoT devices, this proposed authentication scheme is designed using lightweight cryptographic primitives, namely XOR, concatenation, and hash operation. The proposed scheme can establish a secure session between an authorized device and a gateway, and prevent unauthorized devices from getting access to healthcare systems. The security analysis and performance analysis assess the proposed authentication technique's effectiveness over existing well‐known schemes.

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Section: Related Workmentioning

confidence: 99%

Lightweight and efficient privacy‐preserving mutual authentication scheme to secure Internet of Things‐based smart healthcare

Das

Namasudra

2023

Trans Emerging Tel Tech

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“…If the error exceeds a certain range with the expected result, the error signal backpropagation process is started: In the process of backpropagation of error signals, the error signals propagate forward successively from the output layer, and the weights between ends are corrected according to the error feedback. The above process will lead to the actual output constantly approaching the expected output [35]. Specific steps and relevant formulas are as follows:…”

Section: Indicators Attribute Rangementioning

confidence: 99%

AI-Enabled Consensus Algorithm in Human-Centric Collaborative Computing for Internet of Vehicle

Sun

Wang

et al. 2023

Symmetry

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With the enhanced interoperability of information among vehicles, the demand for collaborative sharing among vehicles increases. Based on blockchain, the classical consensus algorithms in collaborative IoV (Internet of Vehicle), such as PoW (Proof of Work), PoS (Proof of Stake), and DPoS (Delegated Proof of Stake), only consider the node features, which is hard to adapt to the immediacy and flexibility of vehicles. On the other hand, classical consensus algorithms often require mass computing, which undoubtedly increases the communication overhead, resulting in the inability to achieve collaborative IoV under asymmetric networks. Therefore, proposing a low failure rate consensus algorithm that takes into account running time and energy consumption becomes a major challenge in IoV applications. This paper proposes an AI-enabled consensus algorithm with vehicle features, combining vehicle-based metrics and neural networks. First, we introduce vehicle-based metrics such as vehicle online time, performance, and behavior. Then, we propose an integral model and a hierarchical classification method, which combine with a BP neural network to obtain the optimal solution for interconnection. Among them, we also use Informer to predict the future online duration of vehicles, which effectively solves the situation that the primary node vehicle drops off in collaborative IoV. Finally, the experimentations show that the vehicle-based metrics eliminate the problem of the primary node vehicle being offline, which realizes the collaborative IoV considering vehicle features. Meanwhile, it reduces the vehicle network system delay and energy consumption.

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“…However, when AHP selects too many indicators, it can make it difficult for relevant statistical data to determine the weight value [14]. Fuzzy AHP is a method established on the basis of AHP that improves the objectivity of weights in indicator system development [15,16]. Fuzzy AHP can improve the overall objectivity of the evaluation index system.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Ecological Planning and Evaluation of Towns from the Perspective of Sustainable Development

2023

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On 22 December 2000, the State Council of China officially released the National Outline for Ecological and Environmental Protection. In order to further implement the concept of the Outline, the State Environmental Protection Administration of China proposed to comprehensively promote the creation of ecological demonstration areas. As the most basic independent administrative unit in China, township administrative regions are a key bridge connecting cities and rural areas. The comprehensive ecological planning of townships is an important means to promote rural urbanization and promote rural environmental protection work. It is also a concrete manifestation of the scientific development concept and sustainable development (SD) concept in rural work. The research focused on Yuntai Town, Changshou District, Chongqing as the research object and analyzed the physical geography information and socio-economic situation of Yuntai Town. Then, based on the reference of previous achievements, a comprehensive ecological environment evaluation index system was constructed, and an analytic hierarchy process (AHP) was used to evaluate the evaluation indicators. In order to improve the objectivity of AHP, a fuzzy analysis method was used in the experiment to improve the process. On the basis of studying the actual situation of Yuntai Town and based on the established evaluation index system, this study offers targeted suggestions for the deficiencies in the comprehensive ecological planning of Yuntai Town. The establishment of a comprehensive ecological planning and evaluation index system in Yuntai Town has theoretical and practical significance for the SD of the town.

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A Simple Methodology that Efficiently Generates All Optimal Spanning Trees for the Cable-Trench Problem

Cited by 15 publications

References 13 publications

Lightweight and efficient privacy‐preserving mutual authentication scheme to secure Internet of Things‐based smart healthcare

Lightweight and efficient privacy‐preserving mutual authentication scheme to secure Internet of Things‐based smart healthcare

AI-Enabled Consensus Algorithm in Human-Centric Collaborative Computing for Internet of Vehicle

Comprehensive Ecological Planning and Evaluation of Towns from the Perspective of Sustainable Development

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