Research Article
Fuzzy Inference Using Bee Colony Optimization for Redeem Routing inMANET
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314564, author={Dr Geetha N}, title={Fuzzy Inference Using Bee Colony Optimization for Redeem Routing inMANET}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={manet fuzzification evaluation rule membership function defuzzification bco}, doi={10.4108/eai.7-12-2021.2314564} }- Dr Geetha N
Year: 2021
Fuzzy Inference Using Bee Colony Optimization for Redeem Routing inMANET
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314564
Abstract
Mobile ad-hoc network (MANET), are designed especially for mobile nodes without any infrastructure. Because of its mobility nature, route failure occurs frequently resulting in data loss and overheads. In order to overcome above drawback, the routing has to be done in accordance with mobility character of the network. In this paperFuzzy Inference Using Bee Colony Optimization for Redeem Routing in MANETis proposed. Here already predicted MANET parameters like link lifetime, node lifetime, neighboring nodes and band width using bee colony optimization algorithm will be fuzzified. As a result of fuzzification, fuzzy rules will be formed to decide the node status. This information is made to exchange among all the nodes. Thus, the status of every node is verified before data transmission. Data will be transferred to any node if and only if the node status is strong. Else the data will be passed to some other node. With the simulated results, the minimized data loss and overhead will be obtained.