Secure Transmission Lines Monitoring and Efficient Electricity Management in Ultra-Reliable Low Latency Industrial Internet of Things

Judge, Malik Ali; Manzoor, Awais; Khattak, Hasan Ali; Din, Ikram Ud; Almogren, Ahmad; Adnan, Muhammad

doi:10.1016/j.csi.2020.103500

Cited by 19 publications

(9 citation statements)

References 23 publications

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“…Moreover, the client may change the location and the query response is no longer required. After processing, the query results need to be validated in the first type of query as the query issuer's location can be changed, and the results may need calculation accordingly [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Location-Dependent Query Processing: Semantic Cache for Real-Time Smart City Analytics

Hasan

Shehzad

Ahmed

et al. 2021

Applied Bionics and Biomechanics

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With the advent of wireless sensor networks and their deep integration with the world have enabled users worldwide to achieve benefits from location-based services through mobile applications, the problems such as low bandwidth, high network traffic, and disconnections issues are normally extracted from mobile services. An efficient database system is required to manage mentioned problems. Our research work finds the probability of user’s next locations. A mobile user (query issuer) changes its position when performing a specific mobile search, where these queries change and repeat the search with the issuer position. Moreover, the query issuer can be static and may perform searches with varying conditions of queries. Data is exchanged with mobile devices and questions that are formulated during searching for query issuer locations. An aim of the research work is achieved through effectively processing of queries in terms of location-dependent, originated by mobile users. Significant studies have been performed in this field in the last two decades. In this paper, our novel approach comprise of usage of semantic caches with the Bayesian networks using a prediction algorithm. Our approach is unique and distinct from the traditional query processing system especially in mobile domain for the prediction of future locations of users. Consequently, a better search is analyzed using the response time of data fetch from the cache.

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Section: Introductionmentioning

confidence: 99%

Location-Dependent Query Processing: Semantic Cache for Real-Time Smart City Analytics

Hasan

Shehzad

Ahmed

et al. 2021

Applied Bionics and Biomechanics

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“…According to the statistical results of each index level of the single assessment of each electrical energy index when the wind turbine is connected to the grid, and according to the ranking statistics of the comprehensive assessment weight to generate the probability distribution matrix of the comprehensive assessment of power quality, the specific comprehensive assessment probability distribution matrix is shown in the following expression. (27) The comprehensive assessment matrix was weighted to obtain the unique values of and for the comprehensive assessment of wind turbines on grid connection, i.e.…”

Section: Implementation Of Comprehensive Assessmentmentioning

confidence: 99%

“…Preliminary studies have been conducted to address this issue, such as the literature [27], which argues that smart grids (SGs) face several challenges to efficiently transmit the generated electricity to electricity consumers. Therefore, a robust monitoring tool is needed to monitor the transmission lines to ensure the safety of the resources.…”

Section: Introductionmentioning

confidence: 99%

Research on power quality assessment based on ubiquitous power IoT

Zhang¹,

Zhi²,

Zhao³

et al. 2023

Applied Mathematics and Nonlinear Sciences

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With the rapid development of the Internet in this era, the traditional power grid is no longer able to meet the growing demand of the people for electricity. In order to realize a new generation of power system with comprehensive sensing, reliable transmission, intelligent processing and interconnection, the State Grid proposes the strategic goal of developing ubiquitous power IoT. Firstly, the concept and basic architecture of ubiquitous power IoT are elaborated, and then the main key technologies of the architecture of power energy consumption monitoring and management system are explained. The power quality parameters are measured and calculated, and the G1 method, which is computationally small and does not require consistency testing, is used to determine the subjective weights in the power quality evaluation process, which can truly reflect the power quality level of power grids in different regions. The information entropy method is used to determine the objective weights in the process of power quality evaluation to solve the error of artificially determined weights, and the combination of subjective weights and objective weights can more truly reflect the influence of each index on the comprehensive level of power quality. The results of the study show that PV is rated between 2 and 3 good when grid-connected and off-grid, and wind turbines are rated between 3 and 4 medium when grid-connected and off-grid. The results of the integrated assessment levels are in line with the actual situation and can meet the growing demand for electricity.

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“…A blockchain-based IoT system is developed in [18,19] wherein IoT nodes store the private key, whereas the Ethereum public keys are stored to perform data provenance in the IoT network. Many algorithms are presented for IoT ecosystems, which can be studied in [20,21]. However, there are only few solely blockchain-based algorithms.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Named Data Networking‐Based On‐Demand Secure Vehicle‐To‐Vehicle Communications

Saleem

Din

Almogren

et al. 2021

Wireless Communications and Mobile Computing

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The detection of secure vehicles for content placement in vehicle to vehicle (V2V) communications makes a challenging situation for a well-organized dynamic nature of vehicular ad hoc networks (VANET). With the increase in the demand of efficient and adoptable content delivery, information-centric networking (ICN) can be a promising solution for the future needs of the network. ICN provides a direct retrieval of content through its unique name, which is independent of locations. It also performs better in content retrieval with its in-network caching and named-based routing capabilities. Since vehicles are mobile devices, it is very crucial to select a caching node, which is secure and reliable. The security of data is quite important in the vehicular named data networking (VNDN) environment due to its vital importance in saving the life of drivers and pedestrians. To overcome the issue of security and reduce network load in addition to detect a malicious activity, we define a blockchain-based distributive trust model to achieve security, trust, and privacy of the communicating entities in VNDN, named secure vehicle communication caching (SVC-caching) mechanism for the placement of on-demand data. The proposed trust management mechanism is decentralized in nature, which is used to select a trustworthy node for cluster-based V2V communications in the VNDN environment. The SVC-caching strategy is simulated in the NS-2 simulator. The results are evaluated based on one-hop count, delivery ratio, cache hit ratio, and malicious node detection. The results demonstrate that the proposed technique improves the performance based on the selected parameters.

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Secure Transmission Lines Monitoring and Efficient Electricity Management in Ultra-Reliable Low Latency Industrial Internet of Things

Cited by 19 publications

References 23 publications

Location-Dependent Query Processing: Semantic Cache for Real-Time Smart City Analytics

Location-Dependent Query Processing: Semantic Cache for Real-Time Smart City Analytics

Research on power quality assessment based on ubiquitous power IoT

Named Data Networking‐Based On‐Demand Secure Vehicle‐To‐Vehicle Communications

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