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来自于大自然计算灵感的自主无线传感器网络

NATURE-INSPIRED COMPUTING FOR AUTONOMIC WIRELESS SENSOR NETWORKS

作者:Wei Li;Javid Taheri;Albert Y. Zomaya;Franciszek Seredynski;Bjorn Landfeldt 加工时间:2015-07-15 信息来源:科技报告(Other) 索取原文[37 页]
关键词:传感器;扩展性;生物功能;无线传感器网络
摘 要:Nature-inspired models present several attractive features such as self-organization and emergence, good scalability, adaptation, and resilience to changes in the environment. This survey showed that these attributes can bring great benefits to design and implementation of self-organized, large-scale WSNs. Self-organized mechanisms alleviate the dependence of sensors on a central controller and therefore help sensors to consume energy more efficiently in reaching the primary goal of WSNs to prolong their lifetime. Furthermore, because of the inherent limitations/characteristics of natural systems, nature-inspired models usually reach their expected performance level more slowly than conventional control-based systems. Here, interactions among entities within a system may also remain subtle, and more precise characterization is required to describe them. Therefore, better understanding of specific functions of natural systems is required to design and implement appropriate nature-inspired models. In fact, simple mimicking of biological functions is not enough in many cases.
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