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An Optimal Routing Algorithm for Internet of Things Enabling Technologies

An Optimal Routing Algorithm for Internet of Things Enabling Technologies

Amol V. Dhumane, Rajesh S. Prasad, Jayashree R. Prasad
Copyright: © 2017 |Volume: 4 |Issue: 3 |Pages: 16
ISSN: 2334-4598|EISSN: 2334-4601|EISBN13: 9781522515739|DOI: 10.4018/IJRSDA.2017070101
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MLA

Dhumane, Amol V., et al. "An Optimal Routing Algorithm for Internet of Things Enabling Technologies." IJRSDA vol.4, no.3 2017: pp.1-16. http://doi.org/10.4018/IJRSDA.2017070101

APA

Dhumane, A. V., Prasad, R. S., & Prasad, J. R. (2017). An Optimal Routing Algorithm for Internet of Things Enabling Technologies. International Journal of Rough Sets and Data Analysis (IJRSDA), 4(3), 1-16. http://doi.org/10.4018/IJRSDA.2017070101

Chicago

Dhumane, Amol V., Rajesh S. Prasad, and Jayashree R. Prasad. "An Optimal Routing Algorithm for Internet of Things Enabling Technologies," International Journal of Rough Sets and Data Analysis (IJRSDA) 4, no.3: 1-16. http://doi.org/10.4018/IJRSDA.2017070101

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Abstract

In Internet of things and its relevant technologies the routing of data plays one of the major roles. In this paper, a routing algorithm is presented for the networks consisting of smart objects, so that the Internet of Things and its enabling technologies can provide high reliability while the transmitting the data. The proposed technique executes in two stages. In first stage, the sensor nodes are clustered and an optimal cluster head is selected by using k-means clustering algorithm. The clustering is performed based on energy of sensor nodes. Then the energy cost of the cluster head and the trust level of the sensor nodes are determined. At second stage, an optimal path will be selected by using the Genetic Algorithm (GA). The genetic algorithm is based on the energy cost at cluster head, trust level at sensor nodes and path length. The resultant optimal path provides high reliability, better speed and more lifetimes.

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