Open Access   Article

Multiple Event Detection In Wireless Sensor Networks Using Compressed Sensing: Health Monitoring Perspective

Pooja Rani1 , Archna Gupta2 , Yashwant Singh3

1 Computer Science and Engineering, Jaypee University Of Information Technology, Waknaghat(Solan), India.
2 Computer Science and Engineering, Jaypee University Of Information Technology, Waknaghat(Solan), India.
3 Computer Science and Engineering, Jaypee University Of Information Technology, Waknaghat(Solan), India.

Correspondence should be addressed to: puja.angel651@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-1 , Page no. 36-41, Jan-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i1.3641

Online published on Jan 31, 2018

Copyright © Pooja Rani, Archna Gupta, Yashwant Singh . 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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Citation

IEEE Style Citation: Pooja Rani, Archna Gupta, Yashwant Singh, “Multiple Event Detection In Wireless Sensor Networks Using Compressed Sensing: Health Monitoring Perspective”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.36-41, 2018.

MLA Style Citation: Pooja Rani, Archna Gupta, Yashwant Singh "Multiple Event Detection In Wireless Sensor Networks Using Compressed Sensing: Health Monitoring Perspective." International Journal of Computer Sciences and Engineering 6.1 (2018): 36-41.

APA Style Citation: Pooja Rani, Archna Gupta, Yashwant Singh, (2018). Multiple Event Detection In Wireless Sensor Networks Using Compressed Sensing: Health Monitoring Perspective. International Journal of Computer Sciences and Engineering, 6(1), 36-41.

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Abstract

Wireless Sensor Network (WSN) has tremendous growth due to low cost sensors and well planned techniques. Remote sensor systems are considered as expansive systems made of countless hubs with energy to detect the earth and discuss it with administrator. Event detection in remote systems is a method for handling inspected information specifically on the sensor hubs, accordingly, decreasing the requirement for multi-bounce correspondence with the b ase station of the system. This research has studied the existing work of event detection as well as health monitoring using WSN. We have studied various algorithms for route discovery like trust model and GA (Genetic Algorithm). Also studied about the impacts of health monitoring is done by ANN (Artificial Neural System). The assessment depends on QoS parameters, to be specific, Throughput, Energy Consumption, PDR (Packet Delivery Ratio).

Key-Words / Index Term

WSN, WSN applications, Multiple Event detection, Multiple Event detection in Health Monitoring, Compressed Sensing, Genetic Algorithm, ANN

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