Journal Article10.4028/WWW.SCIENTIFIC.NET/AMM.303-306.197
A Centroid Localization Algorithm for Wireless Sensor Networks Based on RSSI
Yun Bai,Chun Ming Li,Yuan Xue +2 more
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TL;DR: A new triangle centroid localization algorithm for wireless sensor networks based on received signal strength indicator (RSSI) was demonstrated in great detail, and was simulated using MATLAB , and was compared with the original algorithm.
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Abstract: In this paper, a new triangle centroid localization algorithm for wireless sensor networks based on received signal strength indicator (RSSI) was demonstrated in great detail, and was simulated using MATLAB , and was compared with the original algorithm. Finally, wireless localization system based on CC2430/31 was set up in IAR development environment. Through hardware testing and comparison, The impact on the localization accuracy is illustrated about the signal transmission loss, beacon node density and outside interference. The superiority of this new algorithm is verified.
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Citations
3D weighted centroid algorithm & RSSI ranging model strategy for node localization in WSN based on smart devices
Syed Bilal Hussain Shah,Chen Zhe,Fuliang Yin,Inam Ullah Khan,Seema Begum,Muhammad Faheem,Fakhri Alam Khan +6 more
TL;DR: This paper intends to track a client position in both indoor and open-air situations by utilizing a single remote sensor with negligible subsequent bumble based on the three-dimensional centroid limitation of systems.
63
An Enhanced Indoor Positioning Technique Based on a Novel Received Signal Strength Indicator Distance Prediction and Correction Model.
TL;DR: In this article, the authors proposed an enhanced indoor positioning technique based on a novel received signal strength indication (RSSI) distance prediction and correction model to improve the positioning accuracy of target nodes in indoor environments.
Indoor Mobile Node Localization Algorithm based on RSSI and Improved MCL
Xiao-yuan Liu,Kai-hong Fang +1 more
TL;DR: The simulation results show that the improved MCL algorithm based on RSSI improves the convergence speed compared with the traditional algorithm, and uses the distance information to filter samples to reduce the computational overhead and improve the positioning accuracy.
An improved weighted centroid location algorithm based on fingerprint quantization
Yuan Gao,Yuan Yang +1 more
TL;DR: An improved weighted centroid location algorithm is proposed to enhance indoor personnel positioning accuracy by leveraging fingerprint quantization, reducing interference and theoretical errors caused by signal attenuation in ZigBee communication environments.
A non-ranging Fusion Location Algorithm for Concave Regions
TL;DR: The simulation results show that the DV-MDS-SA positioning algorithm proposed in this paper can obtain more accurate positioning results under the same network environment and has high application value.
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Wang Fubao,Shi Long,Ren Fengyuan +2 more
TL;DR: The evaluation criterion of the performance and the taxonomy for wireless sensor networks self-localization systems and algorithms are described, the principles and characteristics of recent representative localization approaches are discussed and presented, and the directions of research in this area are presented.
A Location-free Algorithm of Energy-Efficient Connected Coverage for High Density Wireless Sensor Networks
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Improvement of Location Accuracy by Adding Nodes to Ad-Hoc Networks
TL;DR: It is shown that the accuracy cannot be improved without limit by adding more and more nodes to an existing network.
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The Comparative Research on the Location Technology of Wireless Sensor Networks
Jijun Zhao,Hua Li,Xin Zhao +2 more
TL;DR: The paper elaborated the performance evaluation indexes of location algorithms, and analyzed and compared some typical location algorithms according to the location accuracy, node density and hardware requirement, obtaining the sphere of application of these algorithms and pointing out the problems which need to be solved in WSN currently.
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