Identification of Dropout Packets in Wireless Sensor Networks

Authors(2) :-S. Thiruvengadam, Dr. K. Thamodaran

The wireless networks formulate significant revolution in the field of information and communications technology. The wireless networks connect multiple computers and communications devices mutually devoid of wires. The security of data is very important issue in any kind of wireless networks. Wireless sensor network and its applications by intrusions and other attacks to interrupt the characteristics it serves. Normally packet loss is occurring by network congestion. Packet loss is measured as a percentage of packets lost with respect to packets sent. Network congestion in data networking is reducing the quality of service that occurs when a network node is carrying more data than it can handle. In this paper, a network security framework is developed to detect the packet loss and the nodes are offering statement about packet losses. This framework is also offering the features for improving the detection accuracy, and identification of correlations between lost packets. This technique affords privacy preserving, collusion proof, and incurs low communication and storage overheads.

Authors and Affiliations

S. Thiruvengadam
MPhil Research Scholar, Department of Computer Science, Maruthupandiyar College, Thanjavur, Tamilnadu, India
Dr. K. Thamodaran
Professor, Department of Computer Science, Marudupandiyar College, Thanjavur, Tamilnadu, India

Detection Accuracy, Network Congestion, Packet Losses, Security, Wireless Networks.

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 0000-00-00
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 636-645
Manuscript Number : CSEIT1725125
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Thiruvengadam, Dr. K. Thamodaran, "Identification of Dropout Packets in Wireless Sensor Networks", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.636-645, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT1725125

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