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首页> 外文会议>Transactions on Computational Systems Biology VIII; Lecture Notes in Bioinformatics; 4780 >Bio-inspired Network-Centric Operation and Control for Sensor/Actuator Networks
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Bio-inspired Network-Centric Operation and Control for Sensor/Actuator Networks

机译：受生物启发的以网络为中心的传感器/执行器网络操作与控制

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Self-organization mechanisms have been investigated and developed to efficiently operate networked embedded systems. Special focus was given to wireless sensor networks (WSN) and sensor/actuator networks (SANET). Looking at the most pressing issues in such networks, the limited resources and the huge amount of interoperating nodes, the proposed solutions primarily intend to solve the scalability problems by reducing the overhead in data communication. Well-known examples are data-centric routing approaches and probabilistic techniques. In this paper, we intend to go one step further. We are about to also move the operation and control for WSN and SANET into the network. Inspired by the operation of complex biological systems such as the cellular information exchange, we propose a network-centric approach. Our method is based on three concepts: data-centric operation, specific reaction on received data, and simple local behavior control using a policy-based state machine. In summary, these mechanisms lead to an emergent system behavior that allows to control the operation of even large-scale sensor/actuator networks.
机译：自组织机制已经过研究和开发，可以有效地操作网络嵌入式系统。特别关注了无线传感器网络（WSN）和传感器/执行器网络（SANET）。考虑到此类网络中最紧迫的问题，有限的资源和大量的互操作节点，提出的解决方案主要旨在通过减少数据通信的开销来解决可伸缩性问题。众所周知的例子是以数据为中心的路由方法和概率技术。在本文中，我们打算更进一步。我们还将把WSN和SANET的操作和控制转移到网络中。受诸如细胞信息交换之类的复杂生物系统操作的启发，我们提出了一种以网络为中心的方法。我们的方法基于三个概念：以数据为中心的操作，对接收到的数据的特定反应以及使用基于策略的状态机进行的简单本地行为控制。总而言之，这些机制导致了紧急系统行为，甚至可以控制大型传感器/执行器网络的操作。

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