Survey on an efficient model for real time drop box tracking system using WSN

June 2016
Vol-2, Issue-3
Paper ID: 2623
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer engineering
Keywords
T-tracking detection DFL tracking RSS compartmental model LED WDTS
Abstract
With technological advances in the telecommunications sector, everything around the world would like to be connected seamlessly anytime, anywhere through the best network. WSN have the potential to become the pervasive sensing technology of the future WDTS is a Smart letter box system where we are going to track whether there is any letter is dropped in the drop box. When somebody drops letter in letter box then LED connected to output stops glowing indicating that you have letter. To detect the presence of a letter we have used a LDR and a source of light which has resistance of about 1 mohm in total darkness and 2-5kohm in bright light. This gives you a visual alarm when somebody drops a letter in drop box. By using Arduino and LDR,It will update the postman or Post office manager regarding, in which letter drop box has letter through our system on Postman Mobile Dashboard by using GPS. So it will save time of postman of unnecessary visiting.This paper provides systematic exploration of existing research and suggest further research direction

Author Information

# Name Institute / Affiliation
1 Pratiksha sunil Gadilkar SKN-SITS lonavala
2 Reshma date SKN-SITS lonavala
3 Komal nalwade SKN-SITS lonavala
4 Priyanshi kumari SKN-SITS lonavala

How to Cite

Use the following formats to cite this article in your research.

APA Style
Gadilkar, Pratiksha sunil, date, Reshma, nalwade, Komal, & kumari, Priyanshi (2016). Survey on an efficient model for real time drop box tracking system using WSN. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 3489-3492.
MLA Style
Gadilkar, Pratiksha sunil, et al. "Survey on an efficient model for real time drop box tracking system using WSN." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 3489-3492.
IEEE Style
Pratiksha sunil Gadilkar, Reshma date, Komal nalwade, and Priyanshi kumari, "Survey on an efficient model for real time drop box tracking system using WSN," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 3489-3492, 2016.
Vancouver Style
Gadilkar Pratiksha sunil, date Reshma, nalwade Komal, kumari Priyanshi. Survey on an efficient model for real time drop box tracking system using WSN. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):3489-3492.
Harvard Style
Gadilkar, Pratiksha sunil, date, Reshma, nalwade, Komal, & kumari, Priyanshi (2016) 'Survey on an efficient model for real time drop box tracking system using WSN', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 3489-3492.
Chicago Style
Gadilkar, Pratiksha sunil, et al. "Survey on an efficient model for real time drop box tracking system using WSN." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3489-3492.
Turabian Style
Gadilkar, Pratiksha sunil, et al. "Survey on an efficient model for real time drop box tracking system using WSN." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3489-3492.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable