Smart City Gnosys

Smart city article details

Title Beds: Blockchain Energy Efficient Ioe Sensors Data Scheduling For Smart Home And Vehicle Applications
ID_Doc 11762
Authors Lakhan A.; Mohammed M.A.; Abdulkareem K.H.; Deveci M.; Marhoon H.A.; Memon S.; Nedoma J.; Martinek R.
Year 2024
Published Applied Energy, 369
DOI http://dx.doi.org/10.1016/j.apenergy.2024.123535
Abstract In the current period, there has been a prominent and gradual upswing in the application of Internet of Energy (IoE) sensors in smart cities. These sensors play a vital role across diverse aspects of the energy sector, ranging from producing energy to haggling with the complexities of the smart grid. The IoE sensors use fiber optics technology that increases the speed and bandwidth of data transfer in smart grid applications. Incorporating IoE sensors, including fiber optics, is paramount to rehabilitating extensive IoE sensor data into practical information to distribute energy based on prices, availability, and demand for smart homes and electric vehicles. However, from energy generation to consumption, many nodes are incorporated. Therefore, security is a crucial challenge to processing accurate IoE sensor data for energy generation and consumption in smart cities. This paper presents blockchain-enabled, energy-efficient IoE smart grid architecture for smart homes and electric vehicle applications. The proposed architecture suggests blockchain-energy-efficient IoE sensors data scheduling (BEDS) algorithm schemes that consist of blockchain, smart grid, and vehicle and smart home schemes. The paper considers grid data based on sensors for different applications. The proposed system integrates fiber optics, collecting and offloading sensors to the grid for execution. This study aims to process IoE sensor data based on blockchain with a minimum processing time of 29% and less power consumption of 41%. Simulation results show that BEDS has less processing time and energy consumption than existing proof-of-work and proof-of-stake blockchain methods in smart grid networks. © 2024 Elsevier Ltd
Author Keywords And smart grid; Cloud; Edge; Electric vehicles; Energy; Fiber optics; IoE sensors; Production; Smart homes


Similar Articles


Id Similarity Authors Title Published
53796 View0.881Abughaush L.; Gharib A.Surveying The Energy Efficiency And Applicability Of Blockchain Platforms For The Internet Of Things2024 IEEE 10th World Forum on Internet of Things, WF-IoT 2024 (2024)
55107 View0.879Khrais L.T.The Combination Of Iot-Sensors In Appliances And Block-Chain Technology In Smart Cities Energy Solutions2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020 (2020)
3223 View0.876Spadavecchia G.; Fiore M.; Mongiello M.; De Venuto D.A Novel Approach For Fast And Secure Data Transmission Using Blockchain And Iot2024 13th Mediterranean Conference on Embedded Computing, MECO 2024 (2024)
17663 View0.875Amini M.H.Decentralized Operation Of Interdependent Power And Energy Networks: Blockchain And SecurityBlockchain-based Smart Grids (2020)
7977 View0.874Babu Erukala S.; Tokmakov D.; Devi Aguru A.; Kaluri R.; Bekyarova-Tokmakova A.; Mileva N.An End-To-End Secure Communication Framework For Smart Homes Environment Using Consortium Blockchain SystemIEEE Access, 13 (2025)
494 View0.87Aldawsari H.A Blockchain-Based Approach For Secure Energy-Efficient Iot-Based Wireless Sensor Networks For Smart CitiesAlexandria Engineering Journal, 126 (2025)
12543 View0.87Sisi Z.; Souri A.Blockchain Technology For Energy-Aware Mobile Crowd Sensing Approaches In Internet Of ThingsTransactions on Emerging Telecommunications Technologies, 35, 4 (2024)
19606 View0.87Dewangan N.K.; Chandrakar P.Development Of A Secure And Transparent Blockchain For Electricity Bill Management In Smart Cities Using Enhanced Proof Of Energy ConsumptionInternet of Things, Part F2482 (2024)
12457 View0.869Abdelmaboud A.; Ahmed A.I.A.; Abaker M.; Eisa T.A.E.; Albasheer H.; Ghorashi S.A.; Karim F.K.Blockchain For Iot Applications: Taxonomy, Platforms, Recent Advances, Challenges And Future Research DirectionsElectronics (Switzerland), 11, 4 (2022)
12456 View0.868Chen F.; Xiao Z.; Cui L.; Lin Q.; Li J.; Yu S.Blockchain For Internet Of Things Applications: A Review And Open IssuesJournal of Network and Computer Applications, 172 (2020)