摘要
在能量收集无线传感器网络中,节点可充电电池的容量和缓存大小会直接影响系统性能。因此,正确理解电池容量和缓存大小对性能产生的影响,对节点的设计具有重要意义。然而现有文献通常把数据到达和能量到达简化成泊松过程,无法刻画传感器数据和能量到达均具有突发性的实际情况。为了准确刻画数据和能量的到达过程,采用两状态Markov调制的on-off流模型描述数据和能量的突发到达过程,利用虚拟队列刻画数据缓存的占用情况和能量状态之间的相关性,并对虚拟队列进行排队分析,得到丢包率和平均延迟的表达式。通过数值研究和仿真验证了不同数据缓冲区大小、电池大小对传感器性能的影响,并针对不同数据到达突发度提出了缓冲区大小和电池大小的设置建议。
In energy harvesting wireless sensor networks(WSNs)the size of buffer and battery could influence the system performances directly.So studying the influence of the size of buffer and battery is significant to the design of sensor nodes.However,in the system modeling process,most existing literatures use Poisson process to model the data arrival process and the energy arrival process,which is impossible to describe the burstiness of data arrival and energy arrival.In other to model the data arrival process and energy arrival process more accurately,a two-state Markov-modulated on-off process is used to model the burst data source and burst energy arrival.A fictitious queue is used to couple the data queue and the energy queue,and by analyzing this fictitious queue,the expressions of average delay and the probability of data packet loss are obtained.Through numerical study and simulation,the impact of data buffer size and battery size on the system performance is investigated.And some suggestions for the allocation of data buffer size and battery size for different burstiness of data arrival are given.
作者
寇名扬
叶通
KOU Mingyang;YE Tong(State Key Laboratory of Advanced Optical Communication Systems and Networks,Shanghai Jiaotong University,Shanghai 200240,China)
出处
《电讯技术》
北大核心
2019年第11期1246-1252,共7页
Telecommunication Engineering
