An Optimal Routing Algorithm for Internet of Things Enabling Technologies
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.
Year of publication: |
2017
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Authors: | Dhumane, Amol V. ; Prasad, Rajesh S. ; Prasad, Jayashree R. |
Published in: |
International Journal of Rough Sets and Data Analysis (IJRSDA). - IGI Global, ISSN 2334-4601, ZDB-ID 2798043-1. - Vol. 4.2017, 3 (01.07.), p. 1-16
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Publisher: |
IGI Global |
Subject: | Energy Cost | Genetic Algorithm (GA) | Internet of Things (IoT) | K-means Clustering | Path Selection | Routing Algorithm | Wireless Sensor Networks (WSNs) |
Saved in:
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