在移动应用层组播通信中,热点地区可能会因用户过多而导致用户流服务满意度降低,非热点地区却可能会出现资源浪费现象,引起整个系统性能下降.提出了一种基于移动终端主动反馈的自适应负载均衡机制(Adaptive Load Balancing Mechanism based Mobile Terminal Active Feedback,ALBM-MTAF).ALBM-MTAF利用网络相关性能指标模拟移动终端(用户)所获得的流媒体服务满意度(Streaming Media Service Satisfaction,SMSS),通过终端用户主动反馈SMSS不断进行自适应的调整,将SMSS较差地域的子节点切换到SMSS较好的父节点上,从而实现整个系统的负载均衡.模拟实验表明,该机制具有良好的负载均衡效果,并能保证通信的质量. 相似文献
Smart transportation has a significantly impact on city management and city planning, which has received extensive attentions from academic and industrial communities. Different from omni-directional sensing system, as a directional sensing system, the multimedia-directional sensor network holds the special coverage scheme, which is usually used for smart cities, smart transportation, and harsh environment surveillance, for instance, nuclear-pollution regions where are inhospitable for people. This paper advances Virtual Stream Artificial Fish-swarm based Coverage-Enhancing Algorithm (VSAFCEA) as a coverage-enhancing means in multimedia directional sensor networks. Firstly, a concept of virtual streams, based on traditional artificial fish-swarm algorithm, is proposed. Then, the traditional behaviors of fishes in artificial fish-swarm algorithm are modified and expanded with several new behaviors. Finally, the presented VSAFCEA is adopted for coverage-enhancing issue in the situation of directional sensor networks with rotational direction-adjustable model. With a sequence of steps of artificial fishes in virtual stream, the presented VSAFCEA can figure out the approximation to the highest area coverage rate. Based on comparison of these simulation results (results of presented VSAFCEA and that of other typical coverage-enhancing ways in directional sensor networks), the conclusion can be drawn that VSAFCEA could attain higher area coverage rate of directional sensor networks with fewer iterative computing times.