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Optimized Geographic Routing in Mobile Ad Hoc Network using Bees Swarm Optimization
Journal of Scientific & Industrial Research ( IF 0.6 ) Pub Date : 2020-09-23
S Vimalnath, G Ravi

Higher mobility, dynamic topology and scalability are considered as major challenges while performing routing in Mobile ad hoc network (MANET). These challenges remain true if the techniques works on increasing the lifetime of the network. In addition, geographic routing fails to perform an effective routing procedure between the sources and sink nodes with network lifetime as its constraints. The methods on optimal coverage and resource optimization fail to perform in proving its effective routing procedures. Hence, in order to improve the network lifetime with proper resource optimization, the study uses Bees Swarm Optimization (BSO) with Geographic Routing Procedure (GRP). The optimized GRP is generated by the BSO that helps the entire network to perform effective routing that suitably optimizes the resources. The simulation is conducted to check the efficiency of the proposed work, where the network metrics like energy consumption and delay is measured between the proposed and other works.

中文翻译:

使用蜂群优化的移动自组织网络中的优化地理路由

在移动自组织网络(MANET)中执行路由时,更高的移动性,动态拓扑和可伸缩性被视为主要挑战。如果这些技术可以延长网络寿命,那么这些挑战仍然存在。此外,地理路由无法以网络生存期为约束,在源节点和宿节点之间执行有效的路由过程。最佳覆盖和资源优化的方法无法证明其有效的路由过程。因此,为了通过适当的资源优化来延长网络寿命,该研究使用了具有地理路由过程(GRP)的Bees Swarm优化(BSO)。BSO生成了优化的GRP,它可以帮助整个网络执行有效地路由,从而适当地优化资源。
更新日期:2020-09-23
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