Analysis of Signalling Time of Community Model
Автор: Boudhayan Bhattacharya, Banani Saha
Журнал: International Journal of Mathematical Sciences and Computing(IJMSC) @ijmsc
Статья в выпуске: 2, 2015 года.
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Data fusion is generally defined as the application of methods that combines data from multiple sources and collect information in order to get conclusions. This paper analyzes the signalling time of different data fusion filter models available in the literature with the new community model. The signalling time is calculated based on the data transmission time and processing delay. These parameters reduce the signalling burden on master fusion filter and improves throughput. A comparison of signalling time of the existing data fusion models along with the new community model has also been presented in this paper. The results show that our community model incurs improvement with respect to the existing models in terms of signalling time.
Master Fusion Filter, Reference Sensor, Local Filter, Community Model, Data Transmission Time, Normalized Signalling Time
Короткий адрес: https://sciup.org/15010117
IDR: 15010117
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