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[WinSock-NDISWireless signal indicator

Description: Introduction Wireless signal status indicator is a simple tray application which gives continuous status information about the signal strength, signal quality, and link status. The application is rich in UI to show all these details in an effective manner. Background * Signal strength: The received strength of the wireless signal at the client adapter. * Signal quality: The quality of the signal received at the client adapter. * Link status: The link quality between the client adapter and the corresponding wireless network. Using the code The native Wifi WlanQueryInterface() function is used to query the "connection attributes" of a wireless connection. This function will be called in client program in a timer functionality to get the signal quality continuously.
Platform: | Size: 30273 | Author: belltolls | Hits:

[File Format0253987x-200802-42-2-147-151-a

Description: Improved Localization Algorithm Based on received Signal Strength Indicator
Platform: | Size: 442368 | Author: 陳翔 | Hits:

[ARM-PowerPC-ColdFire-MIPSRSSIRange

Description: Received Signal Strength Indicator in PIC24 with wireless communication. Ping a char and add RSSI information to the message.
Platform: | Size: 288768 | Author: ptflyer | Hits:

[OtherRSSI

Description: 基于RSSI的定位,已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置。-RSSI-based positioning, known to the launch of the launch signal strength node, receiving node based on received signal strength to calculate the spread of wear and tear, or experience the use of the theory of signal propagation loss model will be spread into the distance, and then calculate the location of the node .
Platform: | Size: 7168 | Author: 闫军 | Hits:

[Other Embeded programZigBee2006

Description: 德州仪器(TI)宣布推出业界首款带硬件定位引擎的片上系统(SoC)解决方案 CC2431,以 满足低功耗 ZigBee/IEEE802.15.4 无线传感器网络应用的需求。这款来自 Chipcon 产品系列 的器件可满足多种应用要求,其中包括资产和设备跟踪、库存控制、病患监护、远程控制、 安全监控网络等应用,此外,TI领先的 ZigBee协议栈 Z-Stack 还提供有关支持。 CC2431 建立在业界首款针对低功耗 RF 应用的 SoC 解决方案 CC2430 的基础之上。上 述两款器件将业界领先的CC2420 RF收发器内核与增强型8051微控制器的出色性能完美结 合,具有高达 128kB 的闪存、8kB的 RAM 以及许多附加功能,而这一切仅采用一个 7 毫米 x7 毫米小型封装就实现了。 CC2431基于RSSI(Received Signal Strength Indicator)的定位引擎能根据接收信号强度与 已知 CC2430参考节点位置准确计算出有关节点位置,然后将位置信息发送给接收端,如电 脑、PDA、手机等。相比于集中型的定位系统,RSSI 功能降低了网络流量与通信延迟,在 典型应用中可实现 3 至5 米的精度。-The CC2431 is a true System-On-Chip (SOC) for wireless sensor networking ZigBee™ / 802.15.4 solutions with location detection engine hardware onboard allowing location accuracy of around 3 meters or less. It enables ZigBee™ nodes to be built with very low total bill-of-material costs. The CC2431 combines the excellent performance of the leading CC2420 RF transceiver with an industry-standard enhanced 8051 MCU, 128 KB flash memory, 8 KB RAM and many other powerful features. Combined with the industry leading ZigBee™ protocol stack (Z-Stack™ ) from Figure 8 Wireless/Chipcon, the CC2431 provides the market’s most competitive ZigBee™ solution. The CC2431 is highly suited for systems where ultra low power consumption is required. This is achieved by various operating modes. Short transition times between these modes further ensure low power consumption.
Platform: | Size: 7719936 | Author: 朱正 | Hits:

[RFIDLOCATING

Description: 此文提出一种用射频标签RFID技术做定位以及导航的方法。使用标签反射能量(RSSI)来达到识别定位的目的。文章认为基站(阅读器)数目的增加,有利于定位精度的增加-An locating approach is proposed to find the location and tracking using RFID technique based on Received Signal Strength Indication (RSSI).It is found that the error is reduced by increasing the number of base stations.
Platform: | Size: 346112 | Author: 赵博 | Hits:

[OtherGrey_predition_algorithm_for_mobile_user_localizat

Description: this algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user(finding mobile user s location)
Platform: | Size: 2048 | Author: LvXiwu | Hits:

[Mathimatics-Numerical algorithmsIndoorlocationTrackingUsingRSSIReadingsfromasingle

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 | Hits:

[matlabGrey_predition_algorithm

Description: This algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user
Platform: | Size: 1024 | Author: Erag0n | Hits:

[Industry researchESCAL_An_Energy_Saving_Clustering_Algorithm_Based

Description: Abstract—the application of wireless sensor network (WSN) is always restricted by the energy shortage of sensor nodes. In order to reduce the entire energy consumption of the WSN, a promising approach is to design light clustering algorithms.LEACH is such a well-known clustering algorithm that was designed to distribute the energy consumption to nodes in the WSN evenly. LEACH is characterized by its attactive clusterbased strategy however, in the algorithm, energy dissipation of entire network is still great during the process that cluster-heads (CH) transmit data to base station (BS). In this paper, based on LEACH, we propose a modified clustering orithm which is named ESCAL. In ESCAL, CHs won’t communicate with BS directly, but transfer aggregated data to the nearest node in term of received signal strength then this elected nearest node willcompress and forward the data to BS.-Abstract—the application of wireless sensor network (WSN) is always restricted by the energy shortage of sensor nodes. In order to reduce the entire energy consumption of the WSN, a promising approach is to design light clustering algorithms.LEACH is such a well-known clustering algorithm that was designed to distribute the energy consumption to nodes in the WSN evenly. LEACH is characterized by its attactive clusterbased strategy however, in the algorithm, energy dissipation of entire network is still great during the process that cluster-heads (CH) transmit data to base station (BS). In this paper, based on LEACH, we propose a modified clustering orithm which is named ESCAL. In ESCAL, CHs won’t communicate with BS directly, but transfer aggregated data to the nearest node in term of received signal strength then this elected nearest node willcompress and forward the data to BS.
Platform: | Size: 86016 | Author: Amir | Hits:

[matlabRSSI

Description: 基于RSSI的定位,已知发射节点的发射信号强度, 接收节点根据接收信号的强度, 计算出传播损耗, 利用理论的或经验的信号传播模型将传播损耗转化为距离, 然后再计算出节点的位置-RSSI-based positioning, known to launch the node transmission signal strength, the receiving node according to received signal strength, transmission loss calculated using the theory or experience loss of signal propagation model will spread into the distance and then calculate the location of the node
Platform: | Size: 3072 | Author: 王磊 | Hits:

[Communication-Mobilelocation-based-services

Description: This paper presents a technique which is based on pattern recognition techniques, in order to estimate Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements and more precisely on information extracted from Iub air interface, in wideband code-division multiple access (WCDMA) systems for transmission control purposes. Pattern recognition is performed by Hidden Markov Model (HMM), which is trained with downlink signal strength measurements for specific areas, employing Clustering LARge Applications (CLARA) like a clustering method. Accurate results from a single probe vehicle show the potential of the method, when applied to large scale of MTs.
Platform: | Size: 351232 | Author: anna | Hits:

[Algorithmlocalization-RSSI

Description: 。通过对传统定位算法原理和误差来源进行分析,结合贝叶斯滤波概率模型对Euclidean定位算法进行 改进,使接收信号强度指示器随机波动得到有效的抑制。-. By traditional positioning algorithm principle and source of error analysis, probability model with Bayesian filtering algorithms to improve positioning of the Euclidean, so that random fluctuations in received signal strength indicator is effectively suppressed.
Platform: | Size: 301056 | Author: 林小鱼 | Hits:

[matlabmodified_sinr_cal

Description: The signal received by a user over the forward link in such a high data rate system contains interference from the neighboring base stations. we note that the strength of this interference is a function of the network load in the neighboring cells. we obtain an expression for the received SINR (Signal to Interference and Noise Ratio) as a function of the traffic load in the interfering cells. Using this result, we propose an improvement to the SINR estimation scheme that is implemented in the current cellular data network. The proposed scheme provides a more accurate estimate of the user SINR by taking better account of the contribution of inter-cell interference. It builds on top of the current SINR measurement scheme by using a combination of pilot measurement and traffic load measurement-The signal received by a user over the forward link in such a high data rate system contains interference from the neighboring base stations. we note that the strength of this interference is a function of the network load in the neighboring cells. we obtain an expression for the received SINR (Signal to Interference and Noise Ratio) as a function of the traffic load in the interfering cells. Using this result, we propose an improvement to the SINR estimation scheme that is implemented in the current cellular data network. The proposed scheme provides a more accurate estimate of the user SINR by taking better account of the contribution of inter-cell interference. It builds on top of the current SINR measurement scheme by using a combination of pilot measurement and traffic load measurement
Platform: | Size: 1024 | Author: suresh | Hits:

[Program docrssi

Description: gives details about received signal strength indicator(rssi) their parameters and algorithms used.
Platform: | Size: 232448 | Author: nndhnim | Hits:

[Program docOn-Access-Point-Selection-in-IEEE-802.11Wireless-

Description: In wireless local area networks often a station can potentially associate with more than one access point. Therefore, a relevant question is which access point to select “ best” from a list of candidate ones. In IEEE 802.11, the user simply associates to the access point with the strongest received signal strength. However, this may result in a signi- cant load imbalance between several access points, as some
Platform: | Size: 166912 | Author: SALAH | Hits:

[SCMA7105x1x2CodeFIFOExtensionMode

Description: A7105 是一低成本2.4GHz ISM 频段的无线应用射频芯片。A7105 内建高灵敏度的接收器(250Kbps@ -99dbm)以及高效率的功率放大器, 非常适合30 米以内的应用。A7105 内建接收信号强度指示RSSI, 温度传感器sensor, 以侦测环境对RF IC 的影响, 同时也内建1路 ADC 侦测使用电压。 内建无线唤醒机制, 从而延长电池使用寿命。-The A7105 is a low-cost 2.4GHz ISM band wireless applications, RF chip. A7105 built-in high sensitivity receiver (250Kbps @-99dbm) and high efficiency power amplifier is ideal for the application of less than 30 meters. A7105 built-in received signal strength indication RSSI, temperature sensor, sensor, RF IC to detect the environment, but also built-in 1 channel ADC to detect the use of voltage. Built-in wireless wake-up mechanism, thereby extending battery life.
Platform: | Size: 496640 | Author: 罗宇宙 | Hits:

[Internet-Networkrssidaoshu

Description: 计算无线传感网路由中接收信号强度的一种算法,为路由选择下一跳节点提供了更好的参照-Calculate the wireless sensor network the Chinese and the received signal strength of an algorithm, and provide a better reference for the next hop of the routing
Platform: | Size: 1024 | Author: 朱硕 | Hits:

[Other06200006

Description: An Empirical Interference Modeling for Link Reliability Assessment in Wireless Networks-Abstract—In recent years, it has been widely believed in the community that the link reliability is strongly related to received signal strength indicator (RSSI) [or signal-to-interference-plus-noise ratio (SINR)] and external interference makes it unpredictable,which is different from the previous nderstanding that there is no tight relationship between the link reliability and RSSI (or SINR), but multipath fading causes the unpredictability. However,both cannot fully explain why the unpredictability appears in the link state. In this aper, we unravel the following questions: 1) What causes frame losses that are directly related to intermediate link states? 2) Is RSSI or SINR a right criterion to representthe link reliability? 3) Is there a better easure to assess the link reliability? We fi rst confi gured a testbed for performing a real measurement study to identify the causes of frame losses, and observed that link reliability depends on an intraframe SINR distribut
Platform: | Size: 2442240 | Author: gu | Hits:

[Other95302929vertical_handoff

Description: 根据移动终端的接收信号强度,实现了LTE和Wimax之间的切换-According to the received signal strength of the mobile terminal, the handover between the LTE and WiMAX
Platform: | Size: 43008 | Author: lucia | Hits:
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