A Game Theoretic Approach for Resource Allocation Based on Ant Colony Optimization in Emergency Management

Wang, Zhiyong; Xu, Wei; Ji-jun, Yang; Peng, Jiazhen

doi:10.1109/iciecs.2009.5365328

Cited by 17 publications

(12 citation statements)

References 7 publications

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“…In the field of management, game theory provides an efficient method for emergency decision-making to explore the social interaction among different participants [13]. Wang et al [14] applied a noncooperative complete information game model for resource allocation during the multiple emergencies. Yang and Xu [15] analyzed the relationship between the decision-makers and an emergency, and then formulated an engineering model based on a sequential game.…”

Section: Introductionmentioning

confidence: 99%

Tripartite Evolutionary Game Model for Public Health Emergencies

Cheng

Yao

2021

Discrete Dynamics in Nature and Society

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Public health emergencies are more related to the safety and health of the public. For the management of the public health emergencies, all parties’ cooperation is the key to preventing and controlling the emergencies. Based on the assumption of bounded rationality, we formulate a tripartite evolutionary game model, involving the local government, the enterprises, and the public, for the public health emergency, e.g., COVID-19. The evolutionary stable strategies under different conditions of the tripartite evolutionary game are explored, and the effect from different factors on the decision-makings of participants for public health emergencies is also analyzed. Numerical analysis results show that formulating reasonable subsidy measures, encouraging the participation of the public, and enforcing the punishment to enterprises for their negative behaviors can prompt three parties to cooperate in fighting against the epidemic. Our work enriches an understanding of the governance for the public health emergency and provides theoretical support for the local government and related participants to make proper decisions in public health emergencies.

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Section: Introductionmentioning

confidence: 99%

Tripartite Evolutionary Game Model for Public Health Emergencies

Cheng

Yao

2021

Discrete Dynamics in Nature and Society

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“…Resource allocation should ensure that each objective must be fulfilled in an optimized way by incorporating multiple constraints and criteria. A significant amount of research has been carried out in the fields of resource allocation for applications like healthcare management [17][18][19][20], logistic industries, manufacturing companies, cloud computing [21][22][23], and supply chain management [24]. Proper utilization of resources based on demand and availability is very important, in the absence of which, underutilization of resources has an adverse effect in terms of achieving the goals for an organization.…”

Section: Related Workmentioning

confidence: 99%

Multiobjective Based Resource Allocation and Scheduling for Postdisaster Management Using IoT

Choksi

Zaveri

2019

Wireless Communications and Mobile Computing

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Disaster is an uncertain phenomenon that arises due to natural as well as man-made calamities. Disaster often causes a high degree of destruction, especially in a very densely populated region. To handle such a situation, efficient resource management strategies are required. Resource management is the most crucial phase of disaster management. Efficient and in-time allocation of resources is very important; otherwise, it may result in more fatalities. In this context, we propose the resource management algorithm, which deals with both over-and underdemand for resources. Resource management requires efficient resource allocation, and in case of overdemand for resources, it must be followed by resource scheduling. In this paper, we introduce a resource allocation technique which is based on multiple objectives having a different set of constraints. We also propose the resource scheduling algorithm based on various parameters. The proposed algorithm uses multiobjective theory for resource allocation which is followed by the implementation of priority-based scheduling technique, in the case of overdemand for resources. Our proposed methods are compared to the existing approaches in the literature. From the simulation results, it is clear that our methods perform optimum resource allocation and scheduling operations.

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“…Most of the recent research optimization techniques in WSN such as Ant Colony Optimization, Particle Swarm Optimization and Fuzzy logic-based algorithms have been proposed to extend the lifetime of the network [1,13]. Hierarchical routing protocols such as clustering are mainly used to improve the network lifetime.…”

Section: Introductionmentioning

confidence: 99%

Grey Wolf Optimization Based Energy Efficiency Management System for Wireless Sensor Networks

Pratha

Asanambigai

Mugunthan³

2021

Preprint

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Wireless Sensor Networks (WSN) is the fundamental technology for the Internet of Things (IoT). It is a network formed from several sensor nodes to sense the changes in the environment. The nodes are battery powered that performs sensing and transmission of information to other nodes in the network. Thus, the energy of the sensor node plays a crucial role in WSN. Thus, intelligent models are anticipated to solve the network problems by optimizing or minimizing the mechanism inorder to improve the energy efficiency. In this paper, a combined meta-heuristic approach called Grey Wolf Optimization based Game theoretical Approach (GWOGA) is proposed that helps for clustering to find the best solutions for selection of aggregation points and this optimal selection of aggregation points lead the nodes to maximize its battery/lifetime. Experimental and simulation analysis shows that the GWOGA outperforms the existing models and retains the lifetime of the network.

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A Game Theoretic Approach for Resource Allocation Based on Ant Colony Optimization in Emergency Management

Cited by 17 publications

References 7 publications

Tripartite Evolutionary Game Model for Public Health Emergencies

Tripartite Evolutionary Game Model for Public Health Emergencies

Multiobjective Based Resource Allocation and Scheduling for Postdisaster Management Using IoT

Grey Wolf Optimization Based Energy Efficiency Management System for Wireless Sensor Networks

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