Resource-sharing allocation method based on dwarf mongoose optimization algorithm in vehicle computing

In vehicle computing, the intelligent vehicle which has strong computing capability and abundant sensing devices provides services for users. Many sensing devices can provide services for users without the limits of time and place. Intelligent vehicles have large amount computing and sensing resourc...

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Vydáno v:物联网学报 Ročník 8; s. 89 - 97
Hlavní autoři: LIU Xi, LIU Jun, WU Hong, LI Weidong
Médium: Journal Article
Jazyk:čínština
Vydáno: China InfoCom Media Group 01.12.2024
Témata:
dwarf mongoose optimization algorithm
resource allocation
resource sharing
vehicle computing
ISSN:2096-3750
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Abstract In vehicle computing, the intelligent vehicle which has strong computing capability and abundant sensing devices provides services for users. Many sensing devices can provide services for users without the limits of time and place. Intelligent vehicles have large amount computing and sensing resources, where computing resources are used individually by users while sensing resources can be shared by multiple users. According to the characteristics of intelligent vehicles, a new resource allocation model based on resource sharing was proposed. A resource sharing allocation method based on dwarf mongoose optimization was proposed. A repairing algorithm was proposed to transform infeasible solutions into feasible solutions. A new solution generation algorithm based on the random and greedy strategy was proposed to address the problem of the dwarf mongoose optimization algorithm being prone to getting stuck in local optima, to improve the convergence speed and obtain the optimal solution. The experimental results
AbstractList In vehicle computing, the intelligent vehicle which has strong computing capability and abundant sensing devices provides services for users. Many sensing devices can provide services for users without the limits of time and place. Intelligent vehicles have large amount computing and sensing resources, where computing resources are used individually by users while sensing resources can be shared by multiple users. According to the characteristics of intelligent vehicles, a new resource allocation model based on resource sharing was proposed. A resource sharing allocation method based on dwarf mongoose optimization was proposed. A repairing algorithm was proposed to transform infeasible solutions into feasible solutions. A new solution generation algorithm based on the random and greedy strategy was proposed to address the problem of the dwarf mongoose optimization algorithm being prone to getting stuck in local optima, to improve the convergence speed and obtain the optimal solution. The experimental results
Author LI Weidong
LIU Jun
LIU Xi
WU Hong
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Snippet In vehicle computing, the intelligent vehicle which has strong computing capability and abundant sensing devices provides services for users. Many sensing...
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StartPage 89
SubjectTerms dwarf mongoose optimization algorithm
resource allocation
resource sharing
vehicle computing
Title Resource-sharing allocation method based on dwarf mongoose optimization algorithm in vehicle computing
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