Description: 无线传感器网络中基于RSSI差值的改进定位算法 希望对大家有用
-Wireless sensor networks RSSI-based location algorithm to improve the margin of the U.S. wishes to be useful Platform: |
Size: 351232 |
Author:玉虎 |
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Description: 无线传感器网络RSSI定位算法的研究与应用,提出了理论上的改进算法,并且有MATLAB实现,另外有硬件实现,具体是在MICA2上,基于tinyos操作系统,根据测得的RSSI值算出距离-RSSI location algorithm for wireless sensor networks for research and application, Tichu a theoretical 改进 algorithms and You MATLAB implementation, there are other hardware Shi Xian, Juti yes Zai MICA2 Shang, tinyos-based operating system, according to the measured RSSI Zhi calculated Juli Platform: |
Size: 2450432 |
Author:烟雨 |
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Description: 针对煤矿井下巷道狭长,信号多径效应明显,接收信号强度(RSSI)测距算法受井下环境影响大,定位精度低的情况,提出了一种信标节点链式部署结构下的动态RSSI测距算法,该算法以信标节点间的距离和它们间测量到的RSSI值为参考,计算巷道内实际环境下的路径衰落指数,以提高RSSI测距算法对环境的适应性。-A dynamic RSSI location algorithm is proposed based on the beacon nodes chain deployment of tunnel Wireless Sensor Networks and the algorithm takes the distance and the corresponding RSSI between the adjacent beacon nodes into account to calculate the actual path loss parameter in the tunnel, thus improving the environmental adaptation of the location algorithm. Platform: |
Size: 144384 |
Author:qiaogz |
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Description: 基于matlab的利用rssi对无线传感网络的定位-Wireless sensor networks based on the matlab the use of rssi positioning Platform: |
Size: 4096 |
Author:愉悦 |
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Description: Localization issue is a crucial part of Wireless Sensor Networks (WSNs) including Underwater WSNs (UWSNs). Unlike in Terrestrial WSNs where the localization techniques are well established, localization for UWSNs is still at the infancy stage. Most of the existing localizations proposed are based on Time of Arrival (ToA) and many of them assume an ideal environment and precise synchronization among sensor nodes. This research has proposed a new localization technique for UWSN based on Received Signal Strength Indication (RSSI) Platform: |
Size: 4096 |
Author:ashok |
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Description: that monitor certain conditions in different locations and transfer data
through a network to an endpoint called base station. Because WSN nodes are
often deployed outdoors where a direct power outlet may not be available, energy
efficiency becomes a key factor in the design of WSNs. This work proposes an
antenna transmission power optimisation algorithm (TPOA) which dynamically
adjusts the power level of the transmission according to the last received signal
strength indicator (RSSI). The mechanism was implemented and tested on an
XbeeWSNthat uses a modifiedMixed Hop and signalReceived routing for mobile
Wireless Sensor Networks (MHRWSN) protocol. The energy consumption results
have shown that the proposed system can save as much as 76% of power in Tx
operations while maintaining a packet reception rate of above 85% Platform: |
Size: 1959880 |
Author:elmustafasayed@gmail.com |
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