传感器网络自我管理系统——一个人工生态系统

R. Luo, W.H. Chang
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引用次数: 2

摘要

我们基于人工生态系统(AES)的概念构建了一个自我维持的系统。在AES框架下,提出了包括传感器节点动态模型(SNDM)、传感器节点生态模型(SNEM)和种群增长极限模型(PGLM)在内的生态平衡模型。SNDM用于实现扩散,snm用于维护传感器节点。PGLM可以控制传感器网络密度。讨论了猎物节点搜索和处理的效果。通过这些模型,我们可以创造一个自动补给、循环和数量控制的生态平衡环境。希望保持这些传感器节点达到毯子覆盖并最大化,两个物种存在并确保它们不会灭绝。从而节省了大量的人力资源和成本在这个自我维持的生态系统上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self managed system of sensor network — an artificial ecological system
We have constructed a self-maintain system based on the concept of the artificial ecological system (AES). Under the framework of the AES, we proposed a model of ecological balancing include the sensor nodes dynamics model (SNDM), the sensor nodes ecological model (SNEM) and the population growth limit model (PGLM). The SNDM is used to implement the diffusion, and the SNEM is used to maintain the sensor nodes. The PGLM can control the sensor network density. We discussed the effect of the prey node searching and handling. With these models, we can create an ecological balance environment with automatic recharge, recycle and quantity control. It is desired to keep these sensor nodes reach the blanket coverage and maximize, two species exist and ensure they will not die out. As a result, save tremendous human resource needed and cost on this self-maintain ecological system.
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