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Bio-inspired routing algorithm for MANETs based on fungi networks

机译:基于真菌网络的船只生物启发路由算法

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The major trends today show that mobile ad hoc networks (MANETs) are increasingly taking up space in the domestic and corporate market with the growth of numbers of users and new applications. Just as various systems were inspired by the behavior of social insects (ants, bees, among others), fungal colonies also demonstrate potential for bio-inspiration of new protocols for MANETs because they exhibit behavior and capacity for self-organization of adaptive, resilient and efficient natural networks in transporting nutrients. In this work, HyphaNet proposes a new bio-inspired approach in the fungi dynamics to develop an algorithm for the creation, optimization and selection of routes for MANETs. In HyphaNet, the routes are built similarly to the fungal mycelium, in which several parallel paths are initially established, but over time, only the hyphae of the best routes receive biomass for reinforcement and thickening of their walls, thus remaining and presenting greater flow attractiveness. Otherwise, less interesting routes remain rare or disappear completely. In this new algorithm, the routing process follows the idea of attractiveness, in which the data flow tends to travel through regions (nodes and links) with a higher concentration of immobile biomass, which indicates lower cost and greater availability of resources. In this model, the routes are reinforced with each data package delivered successfully and the distribution of immobile biomass is a function of the quality of the path between source and destination. The most attractive paths are more likely to be chosen by the route selection heuristic. HyphaNet is reactive, multipath, and the results of the simulations on the NS-2 show good performance compared to the classic AODV and SARA based on ant colony. (C) 2020 Elsevier B.V. All rights reserved.
机译:今天的主要趋势表明,移动临时网络(MANET)越来越多地占据国内和企业市场的空间,以增长用户数和新应用。正如各种系统都受到社会昆虫(蚂蚁,蜜蜂等)的影响,真菌菌落也表现出对舰队的新协议生物启示的潜力,因为它们表现出自适应,弹性和自我组织的行为和能力高效的自然网络运输营养。在这项工作中,Hyphanet提出了一种新的生物启发方法在真菌动力学中,开发了创作,优化和选择舰队路线的算法。在菌丝群中,途径与真菌菌丝同样构建,其中最初建立了几种并行路径,但随着时间的推移,只有最佳路线的菌丝接收生物质以加强和它们的墙壁加厚,因此剩余和呈现更大的流动吸引力。否则,较少有趣的路线完全保持稀有或消失。在这种新算法中,路由过程遵循吸引力的概念,其中数据流倾向于通过具有更高浓度的固定生物质的区域(节点和链路)行进,这表明资源的更低成本和更高的资源可用性。在该模型中,通过成功传递的每个数据包加强路线,并且固定生物量的分布是源和目的地之间路径的质量的函数。最有吸引力的路径更有可能被路由选择启发式选择。菌丝赛特是反应性的,多路径,与基于蚁群的经典AODV和Sara相比,NS-2的模拟结果表现出良好的性能。 (c)2020 Elsevier B.v.保留所有权利。

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