Decomposed Multiobjective Wolf Pack Algorithm for Resource Allocation and Task Scheduling in Computing Networks

In computing networks, resource allocation disorder and task scheduling imbalance can lead to problems such as long latency, high energy consumption, and high cost. To address these issues, a computing network model integrating nonorthogonal multiple access (NOMA) and wireless charging at base stati...

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Vydáno v:	IEEE sensors journal Ročník 25; číslo 15; s. 30005 - 30019
Hlavní autoři:	Wu, Lijuan, Lv, Li, Pan, Jeng-Shyang, Wang, Hui, Lee, Ivan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptation models Algorithms Base stations Computation Computational modeling Computing network Costs Decomposition decomposition strategy Delays Energy consumption Evolutionary computation Maintenance costs multiobjective wolf pack algorithm (MOWPA) Multiple objective analysis Mutation mutation operator Network latency NOMA Nonorthogonal multiple access nonorthogonal multiple access (NOMA) technology Operators (mathematics) Optimization Polynomials Processor scheduling Resource allocation Resource management Resource utilization Solution space Task scheduling User experience wireless charging Wireless power transmission
ISSN:	1530-437X, 1558-1748
On-line přístup:	Získat plný text
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