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Volume - 1 | Issue - 1 | september 2019

HYBRIDIZED GENETIC-SIMULATED ANNEALING ALGORITHM FOR PERFORMANCE OPTIMIZATION IN WIRELESS ADHOC NETWORK
Pages: 1-13
Published
September, 2019
Abstract

The wireless Adhoc network are framed instantaneously utilizing the neighboring available mobile nodes and are capable of reconfiguring and healing. This autonomous behavior of the WANET and their other unique characteristics such as high mobility, limited battery power and dynamic topology changes incorporates several challenges in routing process for the transmission of the information. The traditional methods did not shows improvement and the existing methods also resulted with moderate improvements in performance of the WANET. So the paper proposes a hybridized method for the routing process combining the multi-populated genetic with simulated annealing to identify the shortest path and the fuzzy logic in detection of the malicious activities enhancing the performance of the network preventing the packet losses. The proposed method is validated using the network simulator-2 and its performance is analyzed.

Keywords

Wireless Adhoc network Multi-populated genetic algorithm Simulated annealing Shortest path Fuzzy classifier malicious activity

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