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Energy-aware ant routing in wireless multi-hop networks

机译:无线多跳网络中的能量感知蚂蚁路由

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Many new research areas such as the Internet-of-Things (IoT) propose the interconnection of every days objects, changing the way how we interact with the environment and our world. One key building block of these new research areas are wireless multi-hop networks (WMHNs). Particularly, providing an energy efficient routing is one of the most challenging topics. Algorithms inspired by behavioral patterns found in nature, such as swarm intelligence algorithms, promise to be capable to handling these past and new challenges. We propose an energy-aware ant routing algorithm based on the foraging behavior of ant colonies. While many energy-efficient ant colony based routing algorithms only consider the energy value of future next hops, we provide a new mechanism for estimating the fitness of a path and energy information dissemination. We study the performance of our new algorithm in simulation in comparison to one of the de-facto standard ant routing algorithms.
机译:物联网(IoT)等许多新的研究领域提出了日常物品的互联,从而改变了我们与环境和世界互动的方式。这些新研究领域的关键组成部分是无线多跳网络(WMHN)。特别是,提供节能路由是最具挑战性的主题之一。受自然界行为模式启发的算法,例如群体智能算法,有望能够应对这些过去和新的挑战。我们提出了一种基于蚁群觅食行为的能量感知型蚁群路由算法。尽管许多基于节能蚁群的路由算法仅考虑未来下一跳的能量值,但我们提供了一种新的机制来估算路径的适用性和能量信息传播。与事实上的标准蚂蚁路由算法之一相比,我们研究了我们的新算法在仿真中的性能。

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