A Privacy Protection Task Offloading Algorithm in MEC

Combining discrete difference evolution and convex optimization, a privacy protection task offloading algorithm is proposed for solving the new location privacy leakage problem at mobile terminals due to offloading tasks to multiple edge servers for computation. First, according to the characteristi...

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Vydáno v:Proceedings of the ... International Conference on Computer Supported Cooperative Work in Design (Online) s. 2227 - 2233
Hlavní autoři: Deng, Yun, Tang, Haihua
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 08.05.2024
Témata:
Convex functions
convex optimization
Costs
Data privacy
discrete differential evolution
Privacy
privacy protection
Real-time systems
Servers
Simulation
task offloading
ISSN:2768-1904
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Shrnutí:Combining discrete difference evolution and convex optimization, a privacy protection task offloading algorithm is proposed for solving the new location privacy leakage problem at mobile terminals due to offloading tasks to multiple edge servers for computation. First, according to the characteristics of location privacy problem, the privacy cost of offloading decision is defined. Second, to minimize the total cost of task offloading, the objective problem is modeled as a joint optimization of offloading decision and transmission power allocation. Finally, to solve the problem efficiently, offloading decision variable is decoupled from transmission power variable; a discrete difference evolutionary algorithm is designed to accumulate the approximate optimal offloading decision, and the non-convex optimization problem is transformed into a convex optimization problem through variable substitution, to solve the optimal transmission power efficiently. Simulation results show the proposed algorithm has good convergence and real-time performance and can reduce the total cost of task offloading effectively.
ISSN:2768-1904
DOI:10.1109/CSCWD61410.2024.10580774