Figure - available from: Security and Communication Networks
This content is subject to copyright. Terms and conditions apply.
Source publication
Aiming at the problems of low precision, long time, and poor effect of current remote real-time motion location methods, a long-distance real-time motion location method based on wireless network technology was proposed. Through the analysis of wireless network technology, the basic structure and positioning technology of wireless sensor networks a...
Citations
... Tis article has been retracted by Hindawi, as publisher, following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of systematic manipulation of the publication and peer-review process. ...
... Zhang J et al. used genetic algorithms to analyze the communication constraints between location nodes and a small number of anchor points to construct a positioning model for the needs of smart city WSN construction [17]. Xia X proposes a remote real-time position positioning method through the relevant node positioning algorithm to address the issues of low accuracy, low efficiency, and poor performance of current positioning methods [18]. For enhancing the accuracy of relevant network nodes, Yuan R improved the initial value calculation method. ...
The Distance Vector Hop (DV-HOP) localization algorithm, as a non ranging node localization algorithm, its operation is simple, does not require additional measurement equipment support, with low cost. But wireless sensor network is generally used in three-dimensional complex environment. In response to the low positioning accuracy of this algorithm in an environment with randomly distributed nodes, research is conducted to optimize and improve it. Firstly, by combining multiple communication radii, the hops’ quantityin nodes is decimalized to diminish errors from the hops’ quantity. Then, it calculates the average jump distance of anchor nodes, sets a hop threshold, and eliminates anchor nodes with significant errors. It calculates the rangeexisting anchor nodes and unknown nodes through taking the median. Finally, a particle swarm optimization algorithm was used instead of the maximum likelihood estimation method to obtain the optimized Hop distance correction multi communication radius Particle swarm optimization algorithm DV-HOP (HCMSPSO-DV-HOP) localization algorithm. The improved 3D DV-HOP algorithm was applied to a simulation environment, and through experiments, it was found that the algorithm’s average elapsed time was 0.49 seconds; The average positioning accuracy is 96.40%. Compared to other localization algorithms, the localization algorithm designed by the research institute has good localization performance. It provides technical support for WSN applications in various fields.
... The advantage of OSRM and OpenStreetMap is that it allows users to make unlimited requests independent of the internet, and the results can be replicated at any time. In addition to Xia's research entitled Design of Remote Real-Time Positioning Method for Long-Distance Running under Wireless Network Technology [4], the researcher proposes using wireless-based technology for positioning longdistance running in real-time by combining PLS (Partial Least Squares), Isomaps, and MDS principles. ...
Salatiga city has four subdistrict offices, namely Argomulyo Subdistrict, Sidorejo Subdistrict, Sidomukti Subdistrict and Tingkir Subdistrict. In this study, a comparative analysis of the distance between subdistrict offices in Salatiga city was conducted using the Vincenty method and Geodesic method with distance obtained from Google Maps. The data is the geographical coordinates of the Earth's surface (latitude and longitude) obtained from Google Earth. The results showed that both Vincenty and Geodesic methods compared with Google Maps calculation results between 95% -105%, so it can be said to be good. The geodesic method gives relatively better results than the Vincenty method because it has an average percentage of 99.58 %. In comparison, the Vincenty method has an average percentage of 99.48 %. However, the results obtained still use relatively less data.
