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首页> 外文期刊>International Journal of Space-Based and Situated Computing >Implementation and comparison of two intelligent systems based on fuzzy logic for actor selection in WSANs: effect of node density on actor selection
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Implementation and comparison of two intelligent systems based on fuzzy logic for actor selection in WSANs: effect of node density on actor selection

机译：基于模糊逻辑的Sactor选择在WSAN中的两个智能系统的实现与比较：节点密度对演员选择的影响

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摘要

Wireless sensor and actor network (WSAN) is formed by the collaboration of micro-sensor and actor nodes. Whenever there is any special event, i.e., fire, earthquake, flood or enemy attack in the network, sensor nodes are responsible to sense it and send information towards an actor node. The actor node is responsible to take prompt decision and react accordingly. In this work, we propose and implement two fuzzy based actor selection systems (FBASS): FBASS1 and FBASS2 for actor selection in WSANs. The systems decide whether the actor will be selected for the required job or not based on data supplied by sensors and actual actor condition. We evaluated the proposed system by computer simulations. Comparing FBASS1 with FBASS2, the FBASS2 is more complex than FBASS1, because it has more rules in fuzzy rule base (FRB). By increasing node density, the FBASS2 can save better the energy.
机译：通过微传感器和actor节点的协作形成无线传感器和actor网络（Wsan）。 无论何时有任何特殊事件，即，火灾，地震，洪水或敌人攻击，传感器节点都负责感测它并向演员节点发送信息。 actor节点负责采取迅速的决定并相应地进行反应。 在这项工作中，我们提出并实施了两个基于模糊的演员选择系统（FBASS）：FBASS1和FBASS2，用于WSAN中的演员选择。 该系统决定是否将根据所需的作业选择actor，或者不是基于传感器和实际演员条件提供的数据。 我们通过计算机模拟评估了所提出的系统。 将FBASS1与FBASS2进行比较，FBASS2比FBASS1更复杂，因为它在模糊规则库（FRB）中具有更多规则。 通过增加节点密度，FBASS2可以节省更好的能量。

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