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机构地区:[1]Faculty of Automation,Huaiyin Institute of Technology,Huaian,223003,China [2]Faculty of Electronic Engineering,Huaiyin Institute of Technology,Huaian,223003,China
出 处:《Computers, Materials & Continua》2025年第3期5079-5095,共17页计算机、材料和连续体(英文)
基 金:National Natural Science Foundation of China,grant number 62205120,funded this research.
摘 要:In the RSSI-based positioning algorithm,regarding the problem of a great conflict between precision and cost,a low-power and low-cost synergic localization algorithm is proposed,where effective methods are adopted in each phase of the localization process and fully use the detective information in the network to improve the positioning precision and robustness.In the ranging period,the power attenuation factor is obtained through the wireless channel modeling,and the RSSI value is transformed into distance.In the positioning period,the preferred reference nodes are used to calculate coordinates.In the position optimization period,Taylor expansion and least-squared iterative update algorithms are used to further improve the location precision.In the positioning,the notion of cooperative localization is introduced,in which the located node satisfying certain demands will be upgraded to a reference node so that it can participate in the positioning of other nodes,and improve the coverage and positioning precision.The results show that on the same network conditions,the proposed algorithm in this paper is similar to the Taylor series expansion algorithm based on the actual coordinates,but much higher than the basic least square algorithm,and the positioning precision is improved rapidly with the reduce of the range error.
关 键 词:Wireless sensor networks received signal strength(RSS) optimization algorithm cooperative localiza-tion weighted least squares
分 类 号:TN929.5[电子电信—通信与信息系统] TP212.9[电子电信—信息与通信工程]
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