Description: 通过单一的Wi-Fi接入点的信号强度来判断移动物体的位置。比较新的一篇文章。用了蒙特卡罗抽样的办法－Monte Carlo Sampling Method－来估计位置。-This paper describes research towards a system
for locating wireless nodes in a home environment requiring
merely a single access point. The only sensor reading used for
the location estimation is the received signal strength indication
(RSSI) as given by an RF interface, e.g.,Wi-Fi.Wireless
signal strengthmaps for the positioning filter are obtained by
a two-step parametric and measurement driven ray-tracing
approach to account for absorption and reflection characteristics
of various obstacles. Location estimates are then
computed using Bayesian filtering on sample sets derived
by Monte Carlo sampling. We outline the research leading
to the system and provide location performance metrics using
trace-driven simulations and real-life experiments. Our
results and real-life walk-troughs indicate that RSSI readings
from a single access point in an indoor environment
are sufficient to derive good location estimates of users with
sub-room precision. Platform: |
Size: 452608 |
Author:weihuagao |
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Description: 无线传感器网络所具有的众多类型的传感器，可探测包括地震、电磁、温度、湿度、噪声、光强度、压力、土壤成分、移动物体的大小、速度和方向等周边环境中多种多样的现象。基于MEMS的微传感技术和无线联网技术为无线传感器网络赋予了广阔的应用前景。这些潜在的应用领域可以归纳为:军事、航空、反恐、防爆、救灾、环境、医疗、保健、家居、工业、商业等领域。-Wireless sensor networks have many types of sensors can detect, including seismic, electromagnetic, temperature, humidity, noise, light intensity, pressure, soil composition, the size of moving objects, velocity and direction of the surrounding environment, a variety of phenomena. MEMS based micro-sensor technology and wireless networking technology for wireless sensor networks given the broad application prospects. These potential applications can be summarized as: military, aviation, terrorism, explosion, disaster relief, environment, health, health, home, industrial, commercial and other fields. Platform: |
Size: 2585600 |
Author:fanlianxiang |
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