A new energy-aware resources scheduling method for mobile internet of things using a hybrid optimisation algorithm

被引：0

作者：

Yu, Jiuhong ^{[1
]}

Hou, Kang ^{[2
,3
,4
]}

Zhang, Haiyang ^{[1
]}

Kostic, Branislav ^{[5
]}

Yang, Ming ^{[1
]}

Nazif, Habibeh ^{[6
]}

机构：

[1] Ningbo Univ Finance & Econ, Res Inst Data Intelligence, 899 Xueyuan Rd, Ningbo 315175, Zhejiang, Peoples R China

[2] Soochow Univ, Sch Math Sci, Suzhou 215031, Jiangsu, Peoples R China

[3] Kunshan Ind Technol Res Inst Co Ltd, Suzhou 215316, Jiangsu, Peoples R China

[4] Chinese Acad Sci, Inst Semicond, A35,QingHua East Rd, Beijing 100083, Peoples R China

[5] Jiaying Digital Media Serbia Joint Res Ctr, Cara Dusana 97, Belgrad 11070, Serbia

[6] Payame Noor Univ, Dept Math, Tehran, Iran

来源：

INTERNATIONAL JOURNAL OF MOBILE COMMUNICATIONS | 2025年 / 25卷 / 02期

关键词：

resource scheduling; mobile; internet of things; IoT; energy; optimisation; algorithm; mobile IoT; MIoT; EFFICIENT;

D O I：

10.1504/IJMC.2025.144192

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

This paper suggests a hybrid optimisation technique for scheduling mobile internet of things (IoT) resources that integrates the grasshopper optimisation algorithm with the crow search algorithm to address these issues. The GOCSA hybrid algorithm is designed to effectively increase the benefits of the two methods and produce a standard execution. MATLAB is used to explore the simulation. Other algorithms are contrasted with the suggested approach. The model simulation shows that the suggested technique applying the proposed method on MIoT greatly improves energy consumption and decreases delay time in comparison to conventional methods.

引用

页码：176 / 207

页数：33

共 72 条

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