@Article{cmc.2025.059469,
AUTHOR = {Xinrong Zhang, Bo Chang},
TITLE = {Efficient Cooperative Target Node Localization with Optimization Strategy Based on RSS for Wireless Sensor Networks},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {82},
YEAR = {2025},
NUMBER = {3},
PAGES = {5079--5095},
URL = {http://www.techscience.com/cmc/v82n3/59896},
ISSN = {1546-2226},
ABSTRACT = {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.},
DOI = {10.32604/cmc.2025.059469}
}