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

机译:基于混沌蚁群基于能量预测和QoS保证无线传感器网络的路由算法

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摘要

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,它是通过自组织平衡有效路由和能源成本的基本问题。此外,许多应用需要一些QoS度量,但不足以被吸引。本文采用混沌蚁群算法,eqcaca简而言之,提出了一种具有自适应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,在带宽,延迟和分组损耗率方面提出了算法的有效性。

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