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.

当今的主要趋势表明，随着用户数量和新应用程序的增长，移动自组织网络（MANET）越来越占据国内和企业市场的空间。就像各种系统受到社交昆虫（蚂蚁，蜜蜂等）的行为的启发一样，真菌菌落也展现了对MANETs新协议进行生物启发的潜力，因为它们展现出适应性，适应性和适应性的自组织能力。高效的自然营养网络。在这项工作中，HyphaNet在真菌动力学中提出了一种新的受生物启发的方法，以开发用于创建，优化和选择MANET路由的算法。在HyphaNet中，路线的建立类似于真菌菌丝体，最初建立了几个平行的路线，但随着时间的流逝，只有最佳途径的菌丝才能吸收生物质以增强和增厚其壁，从而保留并呈现出更大的流动吸引力。否则，不太有趣的路线仍然很少或完全消失。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较高固定生物量浓度的区域（节点和链接）传播，这表明成本较低且资源的可用性更高。在此模型中，通过成功交付的每个数据包来增强路线，并且固定生物量的分布取决于源与目的地之间路径的质量。路线选择启发式更有可能选择最有吸引力的路径。HyphaNet具有反应性，多路径，