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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
EFFICIENT SHORTEST PATH APPROACH USING CLUSTER BASED
WARSHALL'S ALGORITHN IN WIRELESS BODY SENSOR NETWORKS
K. Kalaiselvi1
,G. R. Suresh2
, V.Ravi3
1
Research Scholar and Assistant Professor (Senior Grade) Faculty of Computer Science and Engineering Saveetha
Engineering College, Chennai 602105,Tamil Nadu, India
2
Professor & Head Electronics and Communication Engineering Raja Lakshmi Institute of Technology Chennai
600124, Tamil Nadu, India
3
Professor Faculty of Electrical and Electronics Engineering K.S.R College of Engineering, Tiruchengode, Namakkal
637215 , Tamil Nadu, India
-----------------------------------------------------------------------***--------------------------------------------------------------------
Abstract - Wireless body area Network(WBAN) is a
special kind of sensor networks which is mainly designed
for healthcare monitoring system. In this special kind of
sensor nodes monitor the vital signs like blood pressure,
temperature level, humidity etc. Energy efficiency is main
issue in wireless body area Networks because the data is
transferred from body head node to local server, the link
failure is occur .In the data transfer phase if there is any
link failure between nodes to local server the entire system
is degraded in terms of packet delivery ration, latency and
bandwidth of the network. The proposed system to find
the shortest path between nodes to increase the network
lifetime
Keywords: Cluster Head selection, classification rate,
Throughput, Latency, Network life time
1. INTRODUCTION
Wireless body area network (WBAN) is a special
network to operate automatically and autonomously
connect various sensors and interact with various
medical servers, the sensor nodes are implaned inside or
outside the human body. Mainly user for healthcare
monitoring system for elderly people .The elderly people
cannot go the hospital often .Suppose the heart beat level
increase the elderly people quickly the information is
passed to care giver or doctors .The main purpose is take
care by the individual Patient health without any loss.
1.1 APPLICATIONS
A) Health care and Glucose Level Monitoring System
Sensor nodes that can implanted inside or outside of the
body. These nodes are continuously monitor the patient
health .They prevent a large number of deaths caused by
cancer, cardiovascular diseases. The affected people do
treatment process in advance as they getting the vital
sensed information regarding heart rate blood pressure
of the health status of the patient. Sensor nodes are
continuously monitor the glucose level of Diabetes
patients could provide more consistent, accurate results
to local server or physician the patients are automatically
inject a insulin when a threshold glucose or blood
pressure level is reached
B) Asthma and Cancer
A wireless body sensor network help millions of patients
are suffering from asthma, cancer .The sensor nodes
continuously monitor and sense the abnormal allergic in
the air and immediately report the status of patient
information to the physician and or patient himself
C) Sports and Fitness and Military
Sensor nodes are continuously monitor the motion
collect athletes to improve their performance details and
to avoid injury earlier and also provide a match related
schedule is provided Important for military
application .Sensor nodes are providing the soldier
information to better avoid threats
2. RELATED WORK
For more than fifty years, many clustering based
algorithm is used to solve a shortest path algorithms
which are frequently faced in real life applications. In
Ivan Stojmenovi (2004), the authors proposed to find the
shortest path between two nodes using Dijkstra's
algorithm. T. He, C. Huang, B.M. Blum(2003),The authors
proposed the DV (Distance Vector) Hop localization
algorithm to find the minimum distance from cluster
head node to local server form the entire cluster, In
K.Kalaiselvi[2014] ,the author proposed the Distance
based clustering algorithm for energy efficiency in
Wireless sensor networks. These algorithm find out the
shortest path between the cluster head node to base
station. This algorithm efficiently find the shortest path
between these two nodes and also increase the network
life time of the network .In OnurYilmaz [2012) ,The
author proposed the BFS algorithm for find the shortest
path from top to bottom of the tree. In this algorithm
automatically increases the network life time .In
B.N.Clark [2012] .The author proposed the SHM
algorithm to find out the minimum distance from cluster
to base station. In this proposed approach they are using
multi hop wireless' body area networks for difficult to
find out the shortest path between two nodes. Zhenrong
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 255
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
Luo[2013] .the author proposed the LAC-T algorithm
.This algorithm find out the threshold value between sink
nodes to cluster head .If the threshold t(n) value is less
than the cluster head value of the cluster. In
K.kalaiselvi[2014] proposed the data aggregation
algorithms in wsn to increase the network life time of the
network. Some literatures Yuxing Huang [8] suggested
shortest path solutions to improve the final optimality of
warshells solution
3. IMPLEMENATATIONS
Wars hall’s algorithm is used to find out the shortest
paths between nodes in the cluster, where every node
has a weight in the cluster, which is represented as
positive value. The main advantage of Wars hall’s
algorithm is find the shortest distances between any
node could be calculated in o(n) .Where N is the number
of nodes in a cluster
The Algorithm Steps:
STEP1: Set the initial value of shortest paths
between any 2 nodes with Infinity.
STEP2: Perceive all pair of nodes, and then find
the shortest paths .It takes a node1 act as an
intermediate node and so on.
STEP3:Minimize the shortest paths between
any two pairs of cluster head nodes
For any two nodes of (m,n), one should
minimize the distances between the pairs of
nodes
The equation should be min (dist[m][o] + dist[o][n] ,
dist[m][n]) (1) dist[m][o]represents the shortest path
between two nodes .They will use the first set of cluster
nodes in the first cluster dist[o][m].The dist[m][n]
represents the shortest path between the pair [o,n].
4. RESULTS AND DISCUSSION
Figure1 shows the analysis of performance of the
proposed shortest method with conventional shortest
path algorthims .In this Proposed paper, 50 sensor nodes
are assumed in an individual WBAN network. These
sensor nodes are to form a cluster in the WBAN network.
These conventional methods are affects the performance
of the entire WBAN network in terms of PDR, Latencyof
the network. The warshall's algorithm achieved 97 % of
classification rate, 98% PDR and 10.76 ms of latency.
In conventional methodologies Dijikstras algorithm
achieved 95.29% of classification rate, 96.2% PDR and
18.61 ms of latency. (Distance Vector) Hop localization
achieved 94.75% of classification rate, 95.5% PDR and
21.94 ms of latency. SHM algorithm achieved 95.45% of
classification rate, 96.7% PDR and 20.56 ms of latency.
The overall performance of the wban network to
improve the interms of latency, packet delivery raio,
throughput, data rate to be improved. All the
conventional methods to find the shortest path between
from source to destination without considering the
energy level of the wireless body area Network. The
proposed methods also find the shortest path between
the nodes with minimal time of the entire network. Using
warshall's algorithm efficiently utlize the energy level of
the wireless body area networks. It also increases the
network life time.
0
20
40
60
80
100
120
97.86 95.29 94.75 95.45
10.76
18.61
21.94 20.56
Classification rate (%) PDR (%)
Latency (ms)
Figure 1 Analysis of performance of the
proposed shortest method with conventional
shortest path algorthims (50 Sensor Nodes)
0
20
40
60
80
100
120
97.86 95.29 94.75 95.45
Classification rate (%) PDR(%)
Latency (ms)
Figure 2 Analysis of performance of the
proposed shortest method with conventional
shortest path algorthims (100 Sensor Nodes)
Figure2 shows the analysis of performance of the
proposed shortest method with conventional shortest
path algorthims. In this proposed paper, 100 sensor
nodes are assumed in an individual WBAN network
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 256
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
these nodes are affect the performance of the entire
WBAN network in terms of Packet Delivery Rate (PDR),
classification rate and latency. Warshall's algorithm
achieved 98 % of classification rate, 97.4% PDR and
12.98 ms of latency. In conventional method Dijikstras
algorithm achieved 95.2% of classification rate, 96.2%
PDR and 19.75 ms, In (Distance Vector) Hop achieved
94.7% classification,95.5 PDR and 22.4% ms of latency.
SHM algorithm achieved 95% of classification rate, 96%
PDR and 21.56 ms of latency.
5. CONCLUSIONS
The performance of the individual latency classification
rate and packet delivery ratio changes with different
shortest path algorithm chosen. It indroduce a Warshall's
algorithm to select the minimum path between nodes.
The proposed methods final solution improve the CH
performance of the network life time in terms of latency,
packet delivery ratio and classification rate
REFERENCES
[1] Finding Minimum Transmission Radii For
Preserving Connectivity And Constructing
Minimal Spanning Trees In Ad Hoc And Sensor
Networks Francisco Javier Ovalle-Martíneza,
Ivan Stojmenovi´Ca, Fabián García-Nocettib,10
September 2004
[2] T. He, C. Huang, B.M. Blum, J.A. Stankovic And T.
Abdelzaher, "range Free Localization Schemes
For Large Scale Sensor Networks", Acm
International Conference On Mobile Computing
And Networking, Pp.81-95,2003.
[3] Distance Based Clustering Algorithm For Energy
Efficiency In Wireless Sensor Networks K
Kalaiselvi, Gr Suresh applied Mechanics And
Materials Vol. 626 (2014) Pp 20-25 Submitted:
25.06.2014 Online Available Since 2014/Aug/28
At Www.Scientific.Net
Accepted:03.07.2014©(2014)TransTechPublicat
ions,SwitzerlandDoi:10.4028/Www.Scientific.Ne
t/Amm.626.20
[4] WirelesssensorNetworksOnuryilmazasercande
mirciayagizkaymakbserkanergunaahmetyildirim
cd Computers & Mathematics With Applications
Volume 63, Issue 1, january 2012, Pages 48-59
[5] B.N.clark,c.J.colbourn,D.S.johnsonunit Disk
Graphs Discrete Math.,86(1990), Pp.165-177
[6] The Research Of Routing Algorithm Based On
Shortest Path Tree In Wsns Yuhua Liu, Zhenrong
Luo, Ke Xu, Cui Xu Academy Of Computer
Science, Central China Normal University,
Wuhan 430079, China Email:
Yhliu@Mail.Ccnu.Edu.Cn Proceedings Of The
2nd International Conference On Computer
Science And Electronics Engineering (iccsee
2013)
[7] survey On Data Aggregation Based Algorithms
For Energy Efficiency In Wireless Sensor
Networks ,k Kalaiselvi, Gr Suresh International
Journal of Applied Engineering Research, ISSN
0973-4562 Vol. 9 No. 21, 2014 © Research India
Publications
http://www.ripublication.com/ijaer.htm
[8] Wsn Routing Algorithm Simulation Yuxing
Huang And Qiang Ye University Of Prince
Edward Island,Computer Science And
Information Technology @ University Of Prince
Edward Island
BIOGRAPHIES
K.Kalaiselvi received her Bachelor of
Engineering degree in Computer science
from Annamalai university Chidambaram
in 2003, Master of Engineering degree in
computer science from Annamalai
university Chidambaram in 2005. She is
currently working as an assistant professor in the
Department of Computer science and Engineering at
saveetha Engineering college,chennai. Currently, she is
pursuing PhD in information and communication
engineering from Anna University,Chennai. She has
published more than 10 research papers in journals and
conferences .Her main research interests include
Wireless body area networks, Wireless Sensor networks,
IOT and Artificial Intelligence. She is a member of CSI
and ISTE
Rd. R. Suresh received his Bachelor of
Engineering degree in electronics and
communication from Manonmaniam
Sundaranar University in 1997, Master
of Engineering degree in
communication systems from Madurai Kamaraj
University, Madurai in 2000 and PhD degree in the
Faculty of Information and Communication Engineering
from Anna University, Chennai in 2010. He is currently
working as a Professor & Head, Department of
ECE,Rajalakshmi Institute of Technology, Chennai. He has
more than 18 years of experience in teaching at under
graduate and graduate level.
He has published more than 60 research papers in
journals and conferences. He has received the computer
engineering division prize from the Institution of
Engineers (India) for the year 2009. He is an active
reviewer in the journals, IET image Processing and
International journal of Electronics. His research area
includes Medical Signal & Image processing, Speech
processing and WSN in Telemedicine. He is a member of
IEEE, IET and life member of ISTE.
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 257
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072
Dr.V.RAVI received his Bachelor’s Degree in Electrical
and Electronics Engineering from
K.S.Rangasamy College of Technology,
Tiruchengode in 2002, Master’s
Degree in Power Systems from
Annamalai University, Chidambaram
in 2004, Doctor of Philosophy in
Electrical Engineering from Anna University, Chennai in
2013. He is presently working as a Professor in the
Department of Electrical and Electronics Engineering at
K.S.R. College of Engineering, Tiruchengode,
Namakkalyears of experience in teaching at under
graduate and graduate level. His areas of interest are
Power Systems, Soft Computing Techniques and Smart
Machines.
He has guided fifteen under graduate and nine post
graduate projects in different areas of Electrical and
Electronics Engineering.He is a life member in Indian
Society for Technical Education. He has presented seven
international conferences and published thirteen papers
in international journals.
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 258

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IRJET-Efficient Shortest Path Approach using Cluster Based Warshall's Algorithn in Wireless Body Sensor Networks

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 EFFICIENT SHORTEST PATH APPROACH USING CLUSTER BASED WARSHALL'S ALGORITHN IN WIRELESS BODY SENSOR NETWORKS K. Kalaiselvi1 ,G. R. Suresh2 , V.Ravi3 1 Research Scholar and Assistant Professor (Senior Grade) Faculty of Computer Science and Engineering Saveetha Engineering College, Chennai 602105,Tamil Nadu, India 2 Professor & Head Electronics and Communication Engineering Raja Lakshmi Institute of Technology Chennai 600124, Tamil Nadu, India 3 Professor Faculty of Electrical and Electronics Engineering K.S.R College of Engineering, Tiruchengode, Namakkal 637215 , Tamil Nadu, India -----------------------------------------------------------------------***-------------------------------------------------------------------- Abstract - Wireless body area Network(WBAN) is a special kind of sensor networks which is mainly designed for healthcare monitoring system. In this special kind of sensor nodes monitor the vital signs like blood pressure, temperature level, humidity etc. Energy efficiency is main issue in wireless body area Networks because the data is transferred from body head node to local server, the link failure is occur .In the data transfer phase if there is any link failure between nodes to local server the entire system is degraded in terms of packet delivery ration, latency and bandwidth of the network. The proposed system to find the shortest path between nodes to increase the network lifetime Keywords: Cluster Head selection, classification rate, Throughput, Latency, Network life time 1. INTRODUCTION Wireless body area network (WBAN) is a special network to operate automatically and autonomously connect various sensors and interact with various medical servers, the sensor nodes are implaned inside or outside the human body. Mainly user for healthcare monitoring system for elderly people .The elderly people cannot go the hospital often .Suppose the heart beat level increase the elderly people quickly the information is passed to care giver or doctors .The main purpose is take care by the individual Patient health without any loss. 1.1 APPLICATIONS A) Health care and Glucose Level Monitoring System Sensor nodes that can implanted inside or outside of the body. These nodes are continuously monitor the patient health .They prevent a large number of deaths caused by cancer, cardiovascular diseases. The affected people do treatment process in advance as they getting the vital sensed information regarding heart rate blood pressure of the health status of the patient. Sensor nodes are continuously monitor the glucose level of Diabetes patients could provide more consistent, accurate results to local server or physician the patients are automatically inject a insulin when a threshold glucose or blood pressure level is reached B) Asthma and Cancer A wireless body sensor network help millions of patients are suffering from asthma, cancer .The sensor nodes continuously monitor and sense the abnormal allergic in the air and immediately report the status of patient information to the physician and or patient himself C) Sports and Fitness and Military Sensor nodes are continuously monitor the motion collect athletes to improve their performance details and to avoid injury earlier and also provide a match related schedule is provided Important for military application .Sensor nodes are providing the soldier information to better avoid threats 2. RELATED WORK For more than fifty years, many clustering based algorithm is used to solve a shortest path algorithms which are frequently faced in real life applications. In Ivan Stojmenovi (2004), the authors proposed to find the shortest path between two nodes using Dijkstra's algorithm. T. He, C. Huang, B.M. Blum(2003),The authors proposed the DV (Distance Vector) Hop localization algorithm to find the minimum distance from cluster head node to local server form the entire cluster, In K.Kalaiselvi[2014] ,the author proposed the Distance based clustering algorithm for energy efficiency in Wireless sensor networks. These algorithm find out the shortest path between the cluster head node to base station. This algorithm efficiently find the shortest path between these two nodes and also increase the network life time of the network .In OnurYilmaz [2012) ,The author proposed the BFS algorithm for find the shortest path from top to bottom of the tree. In this algorithm automatically increases the network life time .In B.N.Clark [2012] .The author proposed the SHM algorithm to find out the minimum distance from cluster to base station. In this proposed approach they are using multi hop wireless' body area networks for difficult to find out the shortest path between two nodes. Zhenrong © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 255
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 Luo[2013] .the author proposed the LAC-T algorithm .This algorithm find out the threshold value between sink nodes to cluster head .If the threshold t(n) value is less than the cluster head value of the cluster. In K.kalaiselvi[2014] proposed the data aggregation algorithms in wsn to increase the network life time of the network. Some literatures Yuxing Huang [8] suggested shortest path solutions to improve the final optimality of warshells solution 3. IMPLEMENATATIONS Wars hall’s algorithm is used to find out the shortest paths between nodes in the cluster, where every node has a weight in the cluster, which is represented as positive value. The main advantage of Wars hall’s algorithm is find the shortest distances between any node could be calculated in o(n) .Where N is the number of nodes in a cluster The Algorithm Steps: STEP1: Set the initial value of shortest paths between any 2 nodes with Infinity. STEP2: Perceive all pair of nodes, and then find the shortest paths .It takes a node1 act as an intermediate node and so on. STEP3:Minimize the shortest paths between any two pairs of cluster head nodes For any two nodes of (m,n), one should minimize the distances between the pairs of nodes The equation should be min (dist[m][o] + dist[o][n] , dist[m][n]) (1) dist[m][o]represents the shortest path between two nodes .They will use the first set of cluster nodes in the first cluster dist[o][m].The dist[m][n] represents the shortest path between the pair [o,n]. 4. RESULTS AND DISCUSSION Figure1 shows the analysis of performance of the proposed shortest method with conventional shortest path algorthims .In this Proposed paper, 50 sensor nodes are assumed in an individual WBAN network. These sensor nodes are to form a cluster in the WBAN network. These conventional methods are affects the performance of the entire WBAN network in terms of PDR, Latencyof the network. The warshall's algorithm achieved 97 % of classification rate, 98% PDR and 10.76 ms of latency. In conventional methodologies Dijikstras algorithm achieved 95.29% of classification rate, 96.2% PDR and 18.61 ms of latency. (Distance Vector) Hop localization achieved 94.75% of classification rate, 95.5% PDR and 21.94 ms of latency. SHM algorithm achieved 95.45% of classification rate, 96.7% PDR and 20.56 ms of latency. The overall performance of the wban network to improve the interms of latency, packet delivery raio, throughput, data rate to be improved. All the conventional methods to find the shortest path between from source to destination without considering the energy level of the wireless body area Network. The proposed methods also find the shortest path between the nodes with minimal time of the entire network. Using warshall's algorithm efficiently utlize the energy level of the wireless body area networks. It also increases the network life time. 0 20 40 60 80 100 120 97.86 95.29 94.75 95.45 10.76 18.61 21.94 20.56 Classification rate (%) PDR (%) Latency (ms) Figure 1 Analysis of performance of the proposed shortest method with conventional shortest path algorthims (50 Sensor Nodes) 0 20 40 60 80 100 120 97.86 95.29 94.75 95.45 Classification rate (%) PDR(%) Latency (ms) Figure 2 Analysis of performance of the proposed shortest method with conventional shortest path algorthims (100 Sensor Nodes) Figure2 shows the analysis of performance of the proposed shortest method with conventional shortest path algorthims. In this proposed paper, 100 sensor nodes are assumed in an individual WBAN network © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 256
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 these nodes are affect the performance of the entire WBAN network in terms of Packet Delivery Rate (PDR), classification rate and latency. Warshall's algorithm achieved 98 % of classification rate, 97.4% PDR and 12.98 ms of latency. In conventional method Dijikstras algorithm achieved 95.2% of classification rate, 96.2% PDR and 19.75 ms, In (Distance Vector) Hop achieved 94.7% classification,95.5 PDR and 22.4% ms of latency. SHM algorithm achieved 95% of classification rate, 96% PDR and 21.56 ms of latency. 5. CONCLUSIONS The performance of the individual latency classification rate and packet delivery ratio changes with different shortest path algorithm chosen. It indroduce a Warshall's algorithm to select the minimum path between nodes. The proposed methods final solution improve the CH performance of the network life time in terms of latency, packet delivery ratio and classification rate REFERENCES [1] Finding Minimum Transmission Radii For Preserving Connectivity And Constructing Minimal Spanning Trees In Ad Hoc And Sensor Networks Francisco Javier Ovalle-Martíneza, Ivan Stojmenovi´Ca, Fabián García-Nocettib,10 September 2004 [2] T. He, C. Huang, B.M. Blum, J.A. Stankovic And T. Abdelzaher, "range Free Localization Schemes For Large Scale Sensor Networks", Acm International Conference On Mobile Computing And Networking, Pp.81-95,2003. [3] Distance Based Clustering Algorithm For Energy Efficiency In Wireless Sensor Networks K Kalaiselvi, Gr Suresh applied Mechanics And Materials Vol. 626 (2014) Pp 20-25 Submitted: 25.06.2014 Online Available Since 2014/Aug/28 At Www.Scientific.Net Accepted:03.07.2014©(2014)TransTechPublicat ions,SwitzerlandDoi:10.4028/Www.Scientific.Ne t/Amm.626.20 [4] WirelesssensorNetworksOnuryilmazasercande mirciayagizkaymakbserkanergunaahmetyildirim cd Computers & Mathematics With Applications Volume 63, Issue 1, january 2012, Pages 48-59 [5] B.N.clark,c.J.colbourn,D.S.johnsonunit Disk Graphs Discrete Math.,86(1990), Pp.165-177 [6] The Research Of Routing Algorithm Based On Shortest Path Tree In Wsns Yuhua Liu, Zhenrong Luo, Ke Xu, Cui Xu Academy Of Computer Science, Central China Normal University, Wuhan 430079, China Email: Yhliu@Mail.Ccnu.Edu.Cn Proceedings Of The 2nd International Conference On Computer Science And Electronics Engineering (iccsee 2013) [7] survey On Data Aggregation Based Algorithms For Energy Efficiency In Wireless Sensor Networks ,k Kalaiselvi, Gr Suresh International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 9 No. 21, 2014 © Research India Publications http://www.ripublication.com/ijaer.htm [8] Wsn Routing Algorithm Simulation Yuxing Huang And Qiang Ye University Of Prince Edward Island,Computer Science And Information Technology @ University Of Prince Edward Island BIOGRAPHIES K.Kalaiselvi received her Bachelor of Engineering degree in Computer science from Annamalai university Chidambaram in 2003, Master of Engineering degree in computer science from Annamalai university Chidambaram in 2005. She is currently working as an assistant professor in the Department of Computer science and Engineering at saveetha Engineering college,chennai. Currently, she is pursuing PhD in information and communication engineering from Anna University,Chennai. She has published more than 10 research papers in journals and conferences .Her main research interests include Wireless body area networks, Wireless Sensor networks, IOT and Artificial Intelligence. She is a member of CSI and ISTE Rd. R. Suresh received his Bachelor of Engineering degree in electronics and communication from Manonmaniam Sundaranar University in 1997, Master of Engineering degree in communication systems from Madurai Kamaraj University, Madurai in 2000 and PhD degree in the Faculty of Information and Communication Engineering from Anna University, Chennai in 2010. He is currently working as a Professor & Head, Department of ECE,Rajalakshmi Institute of Technology, Chennai. He has more than 18 years of experience in teaching at under graduate and graduate level. He has published more than 60 research papers in journals and conferences. He has received the computer engineering division prize from the Institution of Engineers (India) for the year 2009. He is an active reviewer in the journals, IET image Processing and International journal of Electronics. His research area includes Medical Signal & Image processing, Speech processing and WSN in Telemedicine. He is a member of IEEE, IET and life member of ISTE. © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 257
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 06 | June-2018 www.irjet.net p-ISSN: 2395-0072 Dr.V.RAVI received his Bachelor’s Degree in Electrical and Electronics Engineering from K.S.Rangasamy College of Technology, Tiruchengode in 2002, Master’s Degree in Power Systems from Annamalai University, Chidambaram in 2004, Doctor of Philosophy in Electrical Engineering from Anna University, Chennai in 2013. He is presently working as a Professor in the Department of Electrical and Electronics Engineering at K.S.R. College of Engineering, Tiruchengode, Namakkalyears of experience in teaching at under graduate and graduate level. His areas of interest are Power Systems, Soft Computing Techniques and Smart Machines. He has guided fifteen under graduate and nine post graduate projects in different areas of Electrical and Electronics Engineering.He is a life member in Indian Society for Technical Education. He has presented seven international conferences and published thirteen papers in international journals. © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 258