Indian Journal of Science and Technology
DOI: 10.17485/IJST/v13i39.1522
Year: 2020, Volume: 13, Issue: 39, Pages: 4092-4108
Original Article
M Rajasekaran1*, A Ayyasamy2, R Jebakumar3
1Research Scholar, Department of Computer Science and Engineering, Faculty of Engineering and Technology, Annamalai University, Chidambaram, Tamilnadu, India. Tel.: 9789165661
2Department of Computer Science and Engineering, Faculty of Engineering and Technology,Annamalai University, Chidambaram, Tamilnadu, India
3Department of Computer Science and Engineering, Faculty of Engineering and Technology,SRMIST, Kattankulathur, Tamilnadu, India
*Corresponding Author
Tel: 9789165661
Email: [email protected]
Received Date:26 August 2020, Accepted Date:25 October 2020, Published Date:06 November 2020
Objectives: To propose a suitable algorithm for improving the network lifetime of Wireless Sensor Networks (WSNs). Methods/Findings: We proposed a suitable Location and Energy Aware Trusted Distance Source Routing (LEATDSR) algorithm. Here, the energy consumption, location and the data quality are equalized by the Quality of Service (QoS) based routing algorithms. In addition to this algorithm, an existing clustering algorithm is also incorporates for grouping the sensor nodes based on the trust, location, energy and distance. In this LEATDSR is capable of deciding the evaluation metrics which express the QoS. Moreover, a new trust mechanism is also introduced in this model that incorporates multi-attributes of various sensor nodes in terms of communication, data, energy, and recommendation. This new trust mechanism relies on an enhanced sliding window time by considering the occurrences of attack frequency for facilitating the discovery of anomalous behaviours of attackers. The enhanced energy utilization is established within the sensor nodes for performing the active data transmission. The performance of the proposed model is evaluated by conducting various experiments in a simulation environment which creates by using NS2. From the experiments conducted in this work, the average packet transfer rate is increased drastically when compared to existing models available in the literature.
Keywords: Sensor nodes; energy; quality of service; wireless sensor network;
clustering; trust
© 2020 Rajasekaran et al.This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee).
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