Intelligent Three-dimensional Node Localization Algorithm Using Dynamic Path Planning

Jia, Songhao; Cai, Yang; Chen, Xing; Liu, Yan; Li, Fangfang

doi:10.2174/2352096514666210617125102

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ANP technology provides location information for athletes, and this method can evaluate the quality of movement of athletes. This study combines this method with motion sensor technology, as shown in Formula (6) [16]. This method can not only classify the user's movement behavior, but also analyze the user's posture change information.…”

Section: Physical Fitness Datamentioning

confidence: 99%

The Scheme Design of Wearable Sensor for Exercise Habits Based on Random Game

Huang,

Feng

2024

IJACSA

View full text Add to dashboard Cite

The development of random game theory has enabled wearable sensors to obtain actuator evolution in sports exercise, thus the design of user exercise habits during the exercise process has begun to be studied. Conventional devices only focus on automatic adjustment of sports design, with slight shortcomings in personalization. To address this issue, this study added an anchor node localization device to the adaptive search hybrid learning algorithm and analyzed the exercise goals of athletes. At the same time, a semi definite programming method was installed in wearable sensors to achieve the goal of paying attention to the physical condition of athletes. To verify the performance of the fusion device, this study conducted experiments on the Physical dataset and compared it with three models such as Harris Eagle Optimization. The accuracy rates of designing exercise habits schemes for the four devices were 97.4%, 96.5%, 94.7%, and 91.2%, respectively, indicating that the model has the strongest stability. Under the same running time, the energy loss of this model was 0.11kW * h, which performs the best among the four models. When the athletes are different in age, the F1 values of the four devices are 5.9, 4.5, 4.2 and 3.6 respectively. The results indicate that the proposed fusion model has strong robustness and is suitable for designing exercise habit schemes in the evolution of sports exercise actuators.

show abstract

Section: Physical Fitness Datamentioning

confidence: 99%

The Scheme Design of Wearable Sensor for Exercise Habits Based on Random Game

Huang,

Feng

2024

IJACSA

View full text Add to dashboard Cite

show abstract

“…The 6th cluster is related to location awareness in IoT, and position estimation using UAV anchors [34]. The 7th and 8th clusters are related to the WSN dynamic environment and accuracy [18,19,32,37].…”

Section: Keyword Co-occurrence and Co-author Analysismentioning

confidence: 99%

“…Researchers who are close together tend to cite the same publication or collaborate, whereas researchers with nodes that are far apart usually do not cite or collaborate on the same publication. For example, Liu Y collaborated with Yang C in research on the dynamic path planning method on mobile anchors [37]. Liu Y also collaborated with Shen Y in his research on single anchor passive localization [38].…”

Section: Keyword Co-occurrence and Co-author Analysismentioning

confidence: 99%

Research Trend Topic Area on Mobile Anchor Localization

Indah Hapsari,

Munadi,

Erfianto

et al. 2023

Int. j. electr. comput. eng. syst. (Online)

View full text Add to dashboard Cite

Localization in a dynamic environment is one of the challenges in WSN localization involving dynamic sensor nodes or anchor nodes. Mobile anchors can be an efficient solution for the number of anchors in a 3-dimensional environment requiring more local anchors. The reliability of a localization system using mobile anchors is determined by various parameters such as energy efficiency, coverage, computational complexity, and cost. Various methods have been proposed by researchers to build a reliable mobile anchor localization system. This certainly shows the many research opportunities that can be carried out in mobile anchor localization. The many opportunities in this topic will be very confusing for researchers who want to research in this field in choosing a topic area early. However, until now there is still no paper that discusses systematic mapping studies that can provide information on topic areas and trends in the field of mobile anchor localization. A systematic Mapping Study (SMS) was conducted to determine the topic area and its trends, influential authors, and produce modeling topics and trends from the resulting modeling topics. This SMS can be a solution for researchers who are interested in research in the field of mobile anchor localization in determining the research topics they are interested in for further research. This paper gives information on the mobile anchor research area, the author who has influenced mobile anchor localization research, and the topic modeling and trend that potentially promissing research in the future. The SMS includes a chronology of publications from 2017-2022, bibliometric co-occurrence, co-author analysis, topic modeling, and trends. The results show that the development of mobile anchor localization publications is still developing until 2022. There are 10 topic models with 6 of them included in the promising topic. The results of this SMS can be used as preliminary research from the literacy stage, namely Systematic Literature Review (SLR).

show abstract