Targeted drug delivery system is believed as one of the most promising solutions for cancer treatment due to its low-dose requirement and less side effects. However, both passive targeting and active targeting rely on systemic blood circulation and diffusion, which is actually not the real “active” drug delivery. In this paper, an ant-behavior inspired nanonetwork composing of intelligent nanomachines is proposed. A big intelligent nanomachine take small intelligent nanomachines and drugs to the vicinity of of the tumor area. The small intelligent nanomachines can coordinate with each other to find the most effective path to the tumor cell for drug transportation. The framework and mechanism of this cooperative network are proposed. The route finding algorithm is presented. The convergence performance is analytically analyzed where the influence of the factors such as molecule degradation rate, home-destination distance, number of small nanomachines to the convergence is presented. Finally the simulation results validate the effectiveness of the proposed mechanism and analytical analysis.

中文翻译：

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蚂蚁行为启发的智能NanoNet，用于癌症治疗中的靶向药物输送。

靶向药物递送系统由于其低剂量需求和较少的副作用而被认为是用于癌症治疗的最有希望的解决方案之一。但是，被动靶向和主动靶向都依靠全身血液循环和扩散，这实际上不是真正的“主动”药物递送。本文提出了一种由蚂蚁行为启发的智能纳米机器组成的纳米网络。大型智能纳米机器将小型智能纳米机器和药物带到肿瘤区域附近。小型智能纳米机器可以相互协调，找到通往肿瘤细胞进行药物运输的最有效途径。提出了这种合作网络的框架和机制。提出了寻路算法。对收敛性能进行了分析分析，提出了诸如分子降解率，归宿距离，小型纳米计算机数量等因素对收敛的影响。最后的仿真结果验证了所提机制和分析分析的有效性。