基于Agent群体对抗的移动传感网动态频谱分配策略

Dynamic Spectrum Allocation Strategy Based on Agent Group Confrontation in Mobile Sensor Network

针对移动传感网中频谱利用率低以及频谱资源匮乏问题,在假定移动传感网环境中具有多主用户和多次用户的前提下,首先将传感器节点视作具有感知能力的个体Agent;然后根据主、次用户的不同频谱使用权限建立Agent群体对抗的博弈模型,提出一种Agent群体跟踪对抗的频谱分配算法.从而提出一种基于Agent群体对抗的动态频谱分配策略(GCAS).最后从系统分配的效益和公平性两个方面与现有的合作式算法(CSGC)和非合作式算法(GA-SA)做了对比实验,仿真结果表明该方法在兼顾系统的效率的同时能有效地提高频谱利用率和频谱资源分配公平性.

In order to solve the lack of spectrum resources for wireless mobile sensor networks, We consider the spectrum allocation in an environment of multiple primary users and multiple secondary users and we first defined sensor node users as the mobile Agent nodes with perception and then established a rival group confrontation model according to the primary users ,the secondary users have different spectrum usage rights groups antithesis of Agent,then we consider the spectrum allocation fairness and timeliness and given collaboration confrontation spectrum allocation strategy based on improving the system spectrum utilization. And a dynamic spectrum allocation strategy is proposed based on Agent group confrontation （GCAS ）. At last the simulation compared with other algorithms of existing coordination type to Cooperation algorithm （ CSGC ） and Cooperation against algorithm （ GA-SA ） from system bandwidth and the fairness. The simulation results show that the dynamic spectrum allocation policy for the Agent group confrontation not only be able to take into account the benefits of the system, at the same time improve the spectrum utilization effectively and allocate spectrum resource fairly.