Trust-Based Secure Task Offloading in Digital Twin Empowered Vehicular Edge Computing

Опубликована: Апрель 24, 2024

Task offloading in Vehicle Edge Computing (VEC) refers to the process whereby computational tasks generated by a vehicle are transferred and executed edge servers. This aims optimize performance reduce vehicle's load exploiting servers' capabilities. However, lack of trust between participating entities unreliability communication channels cause various threats on data exchange. Motivated this discussion, paper, we present framework integrating blockchain digital twin (DT) secure task operations from mobile vehicles The first presents novel DT-enabled computation model that facilitates minimizes cost physical entities. Secondly, propose evaluation system based subjective logic considers temporal correlation focuses current behavior for calculation entity reputation. To ensure reliable management reputation score values, have used store these scores distributed immutable manner. Intensive experimentation has demonstrated good proposed terms early detection malicious nodes, communications, high confidentiality thanks DT blockchain.

Язык: Английский

Cloud–Fog Collaborative Computing Based Task Offloading Strategy in Internet of Vehicles

Electronics, Год журнала: 2024, Номер 13(12), С. 2355 - 2355

Опубликована: Июнь 16, 2024

Vehicle terminals in the mobile internet of vehicles are faced with difficulty requirements for computation-intensive and delay-sensitive tasks, vehicle mobility also causes dynamic changes vehicle-to-vehicle (V2V) communication links, which results a lower task offloading quality. To solve above problems, new strategy based on cloud–fog collaborative computing is proposed. Firstly, V2V-assisted forwarding mechanism introduced under computing, predicting algorithm environmental information designed; then, considering parallel relationship tasks each node, cost model constructed goal minimizing delay energy consumption; finally, multi-strategy improved genetic (MSI-GA) proposed to optimization problem, adapts chaotic sequence initialize population, comprehensively considers influence factors optimize adaptive operator, introduces Gaussian perturbation enhance local ability algorithm. The simulation experiments show that compared existing strategies, has different number fog nodes; additionally, V2V auxiliary can reduce load nodes by cooperative forward tasks.

Язык: Английский

An Multi-resources Integration Empowered Task Offloading in Internet of Vehicles

Опубликована: Апрель 19, 2024

Язык: Английский