Stackelberg Game-based Resource Allocation Strategy in Virtualized Wireless Sensor Network
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摘要:
虚拟化技术可有效缓解当前无线传感网络(WSN)中资源利用率较低、服务不灵活的问题。针对虚拟化WSN中的资源竞争问题，该文提出一种基于Stackelberg博弈的多任务资源分配策略。依据所承载业务的不同服务质量(QoS)需求，量化多个虚拟传感网络请求(VSNRs)的重要程度，进而，利用分布式迭代方法，获取WSN的最优价格策略和VSNRs的最优资源需求量，最后，根据纳什均衡所确定的最优价格、最优资源分配量，对多个VSNRs分配资源。仿真结果表明，所提策略不仅能满足用户的多样化需求，而且提升了节点和链路资源利用率。
Abstract:Virtualization is a new technology that can effectively solve the low resource utilization and service inflexibility problem in the current Wireless Sensor Network (WSN). For the resource competition problem in virtualized WSN, a multi-task resource allocation strategy based on Stackelberg game is proposed. According to the different Quality of Service (QoS) requirements of the business carried by Virtual Sensor Network Request (VSNR), the importance of multiple VSNRs is quantified. Then, the optimal price of WSN and the optimal resource requirements of VSNRs are obtained by using distributed iteration method. Finally, the resource corresponding to multiple VSNRs is acquired according to optimal price and optimal resource allocation determined by Nash equilibrium. The simulation results show that the proposed strategy can not only meet the diversified needs of users, but also improve the resource utilization of nodes and links.
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Key words:
- Wireless Sensor Network (WSN) /
- Virtualization /
- Resource allocation /
- Game theory
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表 1 仿真参数设置
参数设定 参考数值 仿真区域(m2) 50×50 节点数量(个) 55 节点处理速度(bit/s) 16～32 节点存储能力(kb) 4～15 节点能量(J) 2～4 链路带宽(kb/s) 5～30 用户体验常量 1或2 VSNR资源需求策略调节步长 0.1 WSN价格策略调节步长 0.1 最大迭代次数/次 200 
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