Monitoring Pregnant Women Health Using Wireless Sensor Network and Greedy Algorithm

Document Type : Primary Research paper


1 Assistant Professor, Department of Computer Science, Shanmuga Industries Arts and Science College, Tiruvannamalai.

2 Assistant Professor, Department of Computer Science, Adhiparasakthi College of Arts and Science, Kalavai.

3 Dr.C. Thirumoorthi, AP, Department of Computer science, PSG College of Arts & Science, Coimbatore- 14.


This research work presents an incorporated observing structure for Pregnant Women Health care in the last three months with the help of a convenientcardiotocograph and using the body sensors. The strength of the staff have a valuable tool to noticeirregularities and checkedinopportune events in time. The given mobile cardiotocograph sends real time correct information to a Smart mobile phone thatconnects the information in a cloud storage. The real time data should be in safemanner torecommendadept algorithm for refining the lifetime of wireless sensor networks in the greedy algorithm approach. It is used to search the number of the active nodes in the network. The surgeon receive the data usingthe hospital Obg Gynappliance. The progress of using this system is that the pregnant woman can monitor her pregnancy status development from her home, and the surgeon receives alarms from the system. If the received data is abnormal range and has accessibledata about the current health status at anytime, anywhere and should be in ensure.


Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 3259-3266