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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | AN ADVANCED SPATIO TEMPORAL ADAPTATION MODEL (ASTAM) FOR E-COMMERCE ENVIRONMENTS |
| Authors Name: | Abraham Amal Raj B , Mahaveer Sain |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_182540
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| Published Paper Id: | IJNRD2210041 |
| Published In: | Volume 7 Issue 10, October-2022 |
| DOI: | |
| Abstract: | Wireless Sensor Network’s (WSN) enactment and consistency essentially hinge on data redundancy. Sensory data’s inherit assets are Spatial and temporal similarity. A considerable amount of nodal energy and bandwidth can be preserved by reducing this spatio-temporal data redundancy. To diminish data redundancy virtually all the data gathering methodologies use either spatial correlation or temporal correlation. The mistreatment of both the temporal and spatial correlation between sensory data is done in Spatial, temporal correlation with Advance Multiple data prediction Interface (SAMI), by similarity based sub clustering the spatial redundancy of sensor data is abridged in the projected work. A solitary illustrative node can represent a meticulously correlated node by similarity based sub clustering. By means of a model based prediction methodology temporal redundancy can be abridged, which helps in diffusion of only a subset of sensor data while the cessation is predicted. Reduction of a considerable amount of energy expensive communication is carried out in this scheme, while the error threshold of the data is user defined. The projected work is highly ascendable, as it is a distributed methodology. This work helps in achieving up to 75% reduction in data in an occasionally gathered system data where an error tolerance of 0.6°C is maintained. |
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| Cite Article: | "AN ADVANCED SPATIO TEMPORAL ADAPTATION MODEL (ASTAM) FOR E-COMMERCE ENVIRONMENTS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 10, page no.332-344, October-2022, Available :http://www.ijnrd.org/papers/IJNRD2210041.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2210041 Registration ID: 182540 Published In: Volume 7 Issue 10, October-2022 DOI (Digital Object Identifier): Page No: 332-344 Country: Jaipur, Rajasthan, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2210041 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2210041 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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