Joint Latency-Energy Minimization for Fog-Assisted Wireless IoT Networks

被引:0
作者
Shams, Farshad [1 ]
Lottici, Vincenzo [1 ]
Tian, Zhi [2 ]
机构
[1] Univ Pisa, Dept Informat Engn, I-56126 Pisa, Italy
[2] George Mason Univ, Dept Elect & Comp Engn, Fairfax, VA 22030 USA
来源
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY | 2025年 / 6卷
关键词
Internet of Things; Wireless communication; Resource management; Linear programming; Optimization; Energy consumption; Integrated circuit modeling; Computational modeling; Wireless sensor networks; Power demand; Bi-objective optimization; fog-assisted networks; IoT; joint resource allocation; NBS; Pareto boundary; Tchebyshev method; RESOURCE-ALLOCATION SCHEME; MOBILE; OPTIMIZATION; INTERNET;
D O I
10.1109/OJCOMS.2024.3522256
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This work aims to present a joint resource allocation method for a fog-assisted network wherein IoT wireless devices simultaneously offload their tasks to a serving fog node. The main contribution is to formulate joint minimization of service latency and energy consumption objectives subject to both radio and computing constraints. Moreover, unlike previous works that set a fixed value to the circuit power dissipated to operate a wireless device, practical models are considered. To derive the Pareto boundary between two conflicting objectives we consider, Tchebyshev theorem is used for each wireless device. The interactions among IoT devices are represented through a cooperative Nash bargaining framework, with the unique Nash equilibrium (NE) being computed via a block coordinate descent method. Numerical results obtained using realistic models are presented to corroborate the effectiveness of the proposed algorithm.
引用
收藏
页码:516 / 530
页数:15
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