|
|||||||||||||||
|
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) |
||||||||||||||
Issue: November 2023
Volume 8 | Issue 11
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 8
Issue Published : 90
Article Submitted : 30202
Article Published : 8354
Total Authors : 21024
Total Reviewer : 1030
Total Countries : 162
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Data Gathering and Aggregation Method for sensing and indicating the pH of flowing stream |
| Authors Name: | Akanksha Bhagi , Pawan Kumar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_170110
|
| Published Paper Id: | IJNRD1707006 |
| Published In: | Volume 2 Issue 6, July-2017 |
| DOI: | |
| Abstract: | Lately, the advantages of setting up adhoc networks are realized. Most of these are established in remote areas. The major issue that such networks face are related to energy that such a remote sensing node has. In this paper, we attempt to establish and compare a unique data gathering and aggregation methods for measuring the pH of flowing water. The process is divided into two phases-first phase implements a way for gathering data from the sensor nodes while the second one implements a way of how to share data with the sink node |
| Keywords: | Wireless Sensor Network, Data Gathering, Data Aggregation |
| Cite Article: | "Data Gathering and Aggregation Method for sensing and indicating the pH of flowing stream", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.2, Issue 6, page no.34-37, July-2017, Available :http://www.ijnrd.org/papers/IJNRD1707006.pdf |
| Downloads: | 000114678 |
| 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 |
| Publication Details: |
Published Paper ID:IJNRD1707006 Registration ID: 170110 Published In: Volume 2 Issue 6, July-2017 DOI (Digital Object Identifier): Page No: 34-37 Country: delhi, delhi, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD1707006 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD1707006 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2023 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn