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Maner: Managed Information Dispersal Plan for GPRS IoT Enabled Wildlife Monitoring System

Anju V1 , Deeksha A S2 , Deepika B U3 , Lochana K4 , Anusha K L5

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-15 , Page no. 49-53, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si15.4953

Online published on May 16, 2019

Copyright © Anju V, Deeksha A S, Deepika B U, Lochana K, Anusha K L . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Anju V, Deeksha A S, Deepika B U, Lochana K, Anusha K L, “Maner: Managed Information Dispersal Plan for GPRS IoT Enabled Wildlife Monitoring System,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.49-53, 2019.

MLA Style Citation: Anju V, Deeksha A S, Deepika B U, Lochana K, Anusha K L "Maner: Managed Information Dispersal Plan for GPRS IoT Enabled Wildlife Monitoring System." International Journal of Computer Sciences and Engineering 07.15 (2019): 49-53.

APA Style Citation: Anju V, Deeksha A S, Deepika B U, Lochana K, Anusha K L, (2019). Maner: Managed Information Dispersal Plan for GPRS IoT Enabled Wildlife Monitoring System. International Journal of Computer Sciences and Engineering, 07(15), 49-53.

BibTex Style Citation:
@article{V_2019,
author = {Anju V, Deeksha A S, Deepika B U, Lochana K, Anusha K L},
title = {Maner: Managed Information Dispersal Plan for GPRS IoT Enabled Wildlife Monitoring System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {15},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {49-53},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1199},
doi = {https://doi.org/10.26438/ijcse/v7i15.4953}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i15.4953}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1199
TI - Maner: Managed Information Dispersal Plan for GPRS IoT Enabled Wildlife Monitoring System
T2 - International Journal of Computer Sciences and Engineering
AU - Anju V, Deeksha A S, Deepika B U, Lochana K, Anusha K L
PY - 2019
DA - 2019/05/16
PB - IJCSE, Indore, INDIA
SP - 49-53
IS - 15
VL - 07
SN - 2347-2693
ER -

           

Abstract

In today’s world, wildlife is an important factor in maintaining natural balance of any nation’s environment. One of the important and vital roles is played by the forest department. There are many concerns regarding the safety of wildlife, so for their security is of main concern for this purpose instrument may be mounted on them to view the present location. Bio-sensor systems comprise various types of small physiological sensors, transmission modules and processing capabilities. Hence, sensor networks can collect, transmit, and store vast volumes of environmental data, which may be used in research or monitoring wildlife.GPS used to log the longitude and latitude so that direction can be known easily. These devices are being added to them will explore the possibility of embedding GPS devices so forest department official can track their animal’s movements in real time.So by using these equipment’s we are trying to implement the basic life- guarding system for wild life in low cost and high reliability.

Key-Words / Index Term

Global Positioning System,Radio Frequency

References

[1] M. Abadi, P. Barham, J. Chen, Zhifeng Chen, A. Davis, J. Dean, M. Devin, Sanjay Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, S. Moore, D. Murray, B. Steiner, P. Tucker, V. Vasudevan, P. Warden, M. Wicke, Y. Yu, and X. Zheng. 2016. TensorFlow: A System for Large-Scale Machine Learning. In Symposium on Operating Systems Design and Implementation (OSDI).
[2] A. Alemi. 2016. Improving Inception and Image Classification in Tensor-Flow.https://research.googleblog.com/2016/08/improving-inception-and-image. html. (2016). [Online; accessed 22-Aug-2016].
[3] David Anthony, William P Bennett, Mehmet C Vuran, Matthew B Dwyer, Sebastian Elbaum, Anne Lacy, Mike Engels, and Walter Wehtje. 2012. Sensing through the continent: towards monitoring migratory birds using cellular sensor networks. In Proceedings of the 11th international conference on Information Processing in Sensor Networks. ACM, 329–340.
[4] Aristotle Cloud Federation 2017. Aristotle Cloud Federation. (2017). https://federatedcloud.org [Online; accessed 22-Aug-2016].
[5] AWS Edge Locations 2016. AWS Edge Locations. (2016). https://aws.amazon.
[6] G. Bradski. 2000. OpenCV. Dr. Dobb’s Journal of Software Tools (2000).
[7] Tilo Burghardt, Janko Calic, and Barry T Thomas. 2004. Tracking Animals inWildlife Videos Using Face Detection.. In EWIMT.
[8]Cisco. 2016. Fog Data Services - Cisco. (2016). http://www.cisco.com/c/en/us/products/cloud-systems-management/fog-data-services/index.html [Online;accessed 22-Aug-2016].
[9] Cloudlet-based Mobile Computing 2016. Cloudlet-based Mobile Computing.(2016). http://elijah.cs.cmu.edu/ [Online; accessed 22-Aug-2016].
[10] Content Distribution Network 2016. Content Distribution Network. https://en.wikipedia.org/wiki/Content delivery network. (2016). [Online; accessed22-Aug-2016].