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Chaotic ant colony based routing algorithm with energy prediction and QoS guarantees for wireless sensor networks

机译:具有能量预测和QoS保证的无线传感器网络基于混沌蚁群的路由算法

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In the field of wireless sensor networks, it is a fundamental issue to balance efficient routing and energy cost via self-organization. Moreover, many applications require some QoS metrics, but not enough attention has been attracted. In this paper, an Energy prediction routing algorithm with adaptive QoS guarantees was proposed using Chaotic Ant Colony algorithm, EQCACA for short, to tackle the combination problem. Simulation results demonstrate the effectiveness of the proposed algorithm in terms of bandwidth, delay and packet loss rate compared with ant colony routing algorithm.
机译:在无线传感器网络领域,通过自组织来平衡有效的路由和能源成本是一个基本问题。此外,许多应用程序都需要一些QoS指标,但是没有引起足够的重视。为了解决组合问题,提出了一种采用混沌蚁群算法(简称EQCACA)的自适应QoS保证的能量预测路由算法。仿真结果表明,与蚁群路由算法相比,该算法在带宽,时延和丢包率方面是有效的。

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