Detection of Faulty Sensor Node within Wireless Sensor Network for improving Network Performance
Keywords:
Faulty sensor node, Network Performance, Round Trip Time, Round Trip PathAbstract
In most of application such as Habitat and Ecosystem- tem Monitoring, Seismic Monitoring, Civil Structural Health Monitoring, Monitoring Groundwater Contamination, Rapid Emergency Response, Industrial Process Monitoring, Perimeter Security and Surveillance Automated Building and Climate Control it is essential to observe or monitor the behavior of surrounding environment at a fine resolution over large spatial- temporal scales for this reason wireless Sensor Network (WSN) is used. WSN have high ability to connect physical world to the virtual world and sensor devices are tiny device and low battery devices due this use of wireless sensor network for monitoring surrounding behavior is increased time to time. Accuracy of WSN is enhanced by increasing the no of sensor within the network. As no of sensor increase this will increase the probability of failure of sensor within the network because WSN may be operated in unattended and hostile environment .If any of the sensor node is fails, this will lead to the change the network topology, also create network partitioning , increases distance between node pair and reduce the number of alternative available routes. In short it will degrade Network Performance of WSN, to improve network performance of WSN we have to find out faulty sensor node within the network. This paper will give one easy method for finding faulty sensor node within the network. This method measure Round Trip Time (RTT) of Round Trip Path (RTP) and compare the calculated RTT with threshold value(threshold value for RTT) if premeditated RTT is greater than threshold value or infinity then particular node from that respective path is declared as dead node or malicious node.
References
RN. Duche, Nisha P. Sarwade, ”Sensor Node Failure Detection Based on Round Trip Delay and Paths in WSNs” IEEE SENSORS JOURNAL, VOL. 14, NO. 2, pp. 455-464, 2014.
P. Jiang, ”A new method for node fault detection in wireless sensor networks” Sensors, vol. 9, no. 2, pp. 1282-1294, 2009.
Enakshmi Nandi and Debabrata Sarddar, "A Modified MapReduce-K-Means Clustering Based Load Distribution Method for Wireless Sensor Network in Mobile Cloud computing", International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.107-110, 2016.
X.-L. Zhang, F. Zhang, J. Yuan, J. lanWeng, W. hua Zhang, “Sensor fault diagnosis and location for small and medium-scale wireless sensor networks”, in Sixth International Conference on Natural Computation, China, pp.3628 3632, 2010.
S. Marti, T. J. Giuli, K. Lai, M. Baker, “Mitigating routing mis- behavior in mobile ad hoc networks”, in Proc. 6th annual international conference on Mobile computing and networking, USA, pp. 255265.
A mahapatro, P.M. Khillar , “fault Diagnosis in wireless Sensor Networks: A survey”, in IEEE communication surveys and Tutori- als, Vol.15, No 4, pp.1-4, 2013
H. Redwan, G. Akele, K.H. Kim, "Cluster-based failure detection and recovery scheme in wireless sensor network", 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN), China, pp. 407-412, 2014.
R. N. Duche and N. P. Sarwade, “Sensor node failure or malfunctioning detection in wireless sensor network” ACEEE Int. J. Commun., vol. 3, no. 1, pp. 57-61, 2012.
S. Sharma, D. Kumar, K. Kishore, "Wireless Sensor Networks- A Review on Topologies and Node Architecture", International Journal of Computer Sciences and Engineering, Vol.1, Issue.2, pp.19-25, 2013.
S.Anusuya and S.Meenakshi, "An Improved Dynamic Source Routing Protocol for Detection and Removal of Black Hole Attack in Mobile Ad-Hoc Network", International Journal of Computer Sciences and Engineering, Vol.3, Issue.12, pp.112-117, 2015.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
