A Novel Fuzzy Based Method to Improve the Network Lifetime in Internet of Things
Chandra Sekhar Sanaboina1, Pallamsetty Sanaboina2
1Chandra Sekhar Sanaboina, Assistant Professor , Department of Computer Science and Engineering,, Jawaharlal Nehru Technological University Kakinada, Kakinada, India.
2Dr. Pallamsetty Sanaboina, Professor, Department of Computer Science and Systems Engineering, Andhra University, Visakhapatnam, India.

Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7190-7196 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5265118419/2019©BEIESP | DOI: 10.35940/ijrte.D5265.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Internet of Things (IoT) opens the way for many of the research areas out of which Network lifetime extension is one of the craziest research areas. Proposing a design for any sensor network routing protocol needs to concentrate on extending the network’s existence. Minimizing energy consumption leads to an extension of the life of the network. Routing Protocol for Low power and Lossy Networks (RPL) is the routing protocol designed by IETF especially which meets the necessities of the constrained environments in IoT. This research article attempts improve performance of the RPL protocol by incorporating the soft-computing techniques. Here, a fuzzy logic-based approach is used which considers DIO_MIN as the essential factor/metric to improve the performance of RPL (i.e., reducing the energy consumption). The COOJA simulator is used for performing the simulations and assessment purpose. Results obtained from this research prove that fuzzy logic can be exercised to improving routing protocol quality (i.e., RPL) in terms of energy consumption.
Keywords: Internet of Things (IoT), Routing Protocol for Low-Power and Lossy Networks (RPL), Fuzzy Logic, Cooja Simulator, Energy Conservation.
Scope of the Article:  Internet of Things.