摘要
持续搜索环境中的WiFi信号会严重耗费无线网卡的能量,从而影响靠电池供电的智能手机等移动设备的性能。针对这一问题,利用低能耗的次级设备来识别由WiFi接入点广播的周期性信标,以此估计环境中存在的接入点数量与信号强度,并仅当检测到较强网络信号时才唤醒无线网卡进行通信,从而达到节能效果。为了识别信号的周期特性,提出了一种稳定精度折叠算法PSFA。实验证明,该算法能以较低的耗费识别出稀疏序列中的周期信号,在单接入点和多接入点环境下均可达到较高的识别精度。
Continuous search for access point may consume enormous energy,especially for battery-powered mobile devices like mobile phones.To solve this problem,second device was recommended to search for APs and evaluate their power by detecting the periodic beacons transmitted by APs.Only when WiFi signals are detected can wireless adapter be woken up.To detect periodic signals,PSFA（precision-stable folding algorithm）was proposed.Experiment results show that PSFA can achieve high accuracy under both single AP and multiple APs circumstances with low complexity.
出处
《计算机科学》
CSCD
北大核心
2015年第3期31-34,共4页
Computer Science
基金
国家自然科学基金项目(61103224
61371124)
江苏省自然科学基金项目(BK2011118)资助
关键词
无线网络
热点识别
周期检测
Wireless networks
AP detection
Periodicity detection
