Fuzzy Logic Based Energy Efficient Mechanism for Dymo in Mobile AD HOC Networks
K.Narasimha Raju1, Koduru Suresh2, Dekka Satish3, Pudi Ganesh4
1Dr. K. Narasimha Raju, Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India.
2Koduru Suresh, SAP Labs Bangalore, India.
3Dekka Satish , Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India.
4Pudi Ganesh, Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Viziangaram (A.P), India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2157-2160 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3623129219/2019©BEIESP | DOI: 10.35940/ijeat.B3623.129219
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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: Mobile ad hoc network (MANET) attracted various researchers in the emerging communication networks without having any centralized structure. In this network, mobile nodes moves in their own wish creating a dynamic topology. Routing is a cumbersome task with this dynamic topology from time to time change in connection pattern. DYMO is emerged as challenging protocol in MANET but works on static configuration parameters such as Hello messages. The mobile device updates the connectivity of their neighbours by sending Hello messages at frequent intervals irrespective of the network scope (terrain) and network elements(number of nodes). As the mobile nodes are battery equipped devices, lot of energy is consumed with these messages. Energy efficient mechanisms are necessary in this type of networks. In this work, DYMOHBFLWTN mechanism is proposed to set the Hello parameter dynamically in DYMO considering network terrain and number of nodes utilizing fuzzy principles. Experiments are conducted on Qualnet 7.0 simulator to evaluate mechanisms – DYMOHBFLWTN and DYMO. The proposed DYMOHBFLWTN mechanism provides better results compared to existing DYMO.
Keywords: DYMO, DYMO HBFLWTN, FuzzyLogic, Hello, MANETs.