A Methodology for Sea Border Intrusion Alert and Black Box System Using IOT

Authors

  • P Jayaselvi Computer Science and Engineering, Sri Sai Ram Engineering College, Chennai, India Author
  • J K Periasamy Computer Science and Engineering, Sri Sai Ram Engineering College, Chennai, India. Author
  • M Padma Priya Computer Science and Engineering, Sri Sai Ram Engineering College, Chennai, India. Author
  • S Samundeswari Computer Science and Engineering, Sri Sai Ram Engineering College, Chennai, India. Author

DOI:

https://doi.org/10.61841/h649hs53

Keywords:

fishermen; border zone; boat; voice IC; microcontroller; black box.

Abstract

 We have heard many incidents of fishermen shot in maritime boundary which have enraged the citizens of the state. The technology is increasing at a faster pace in various sectors. Security based technological advancement are utilized by us in our day-to-day life. In marine services, knowingly or unknowingly our fishermen find it difficult to locate the border zone. So they are getting captured by the other countries and been arrested. So in order to overcome this issue and provide alert for the fishermen, we propose this system to provide an alert. The system consists of a border alerting section with a microcontroller which provides an alert while nearing the border and helps the boat to go in the reverse direction. The navy is also intimidated with the location of the boat that is displayed on the system using latitude and longitude coordinates. We also make use of a voice IC to utilize it as a black box in critical situations. 

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References

[1] Guoqiang Mao, Barıs Fidan and Brian D.O.Anderson, “Wireless sensor network localization techniques”,

Computer Networks Vol.51, Issue 10,Elsevier, 2017.

[2] Jiuqiang Xu, Wei Liu, Fenggao Lang, Yuanyuan Zhang and Chenglong Wang, “Distance Measurement

Model Based on RSSI in WSN”,Wireless Sensor Network (SciRes), 2017, Vol. 2.

[3] V.Thayananthan, A. Alzahrani, M.S. Qureshi.(2017).” Analysis of key management and Quantum

Cryptography in RFID networks International Journal of Academic Research[4] Ndeye Amy Dieng,

Maurice Charbit, Claude

[4] Chaudet, Laurent Toutain and Tayeb Be Meriem, “Indoor Localization in Wireless Networks based on a

Two-modes Gaussian Mixture Model”, IEEE, 2017.

[5] Ndubueze Chuku, Amitangshu Pal and Asis Nasipuri, “An RSSI Based Localization Scheme for Wireless

Sensor Networks to Mitigate Shadowing Effects”, IEEE, 2017.

[6] Luigi Pomante, Claudia Rinaldi, Marco Santic and Stefano Tennina, “RSSI-based Performance analysis of

a lightweight localization for Wireless Sensor Networks”, IEEE, 2017

[7] Z.Mary Livinsa and Dr.S.Jayashri, “Performance Analysis of Diverse Environment based on RSSI

Localization Algorithms in WSNs”, Proceedings of 2013 IEEE Conference on Information and

Communication Technologies (ICT 2013), IEEE,2016

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Published

31.10.2019

How to Cite

Jayaselvi, P., Periasamy, J. K., Padma Priya, M., & Samundeswari, S. (2019). A Methodology for Sea Border Intrusion Alert and Black Box System Using IOT. International Journal of Psychosocial Rehabilitation, 23(4), 517-522. https://doi.org/10.61841/h649hs53