Research on Multi-Objective Joint Optimization Algorithm for Secure Offloading in UDN
[Objective]With the rapid growth of various mobile applications and services,the contradiction be-tween the battery capacity and the energy consumption at mobile terminals is becoming increasingly prominent.In addition,the ultra-dense deployment of small base stations(SBSs)in ultra-dense network(UDN)makes net-work interference more complicated,and servers deployed at the edge of the network are also vulnerable to mali-cious attacks.[Method]By jointly optimizing the user equipment(UE)association,cryptographic service assign-ment,UE power control,and computational resource allocation of UEs and SBSs,the sum of weighted standard-ized total energy consumption and standardized total security cost is minimized for the multi-task UDN.Specifi-cally,mobile edge computing(MEC)and local computing models are first built for multi-task UDN.Then,a fur-ther improved hierarchical adaptive search(FIHAS)algorithm is designed for a problem with minimizing the sum of weighted normalized total energy consumption and normalized total safety cost.[Result]In the simula-tion,FIHAS can obtain lower weighted sum than other algorithms and has an advantage in reducing total cost.[Conclusion]In general,FIHAS may achieve the better system performance than other algorithms.
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