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Deterministic Formal Modeling of Smart Lightening System using Internet of Things

机译:用物联网确定智能照明系统的确定性正式建模

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A collection of sensors and actuators which sense data, process and communicate with each other via internet within a network is called Internet of things (IoT). Smart city is an integration of smart states, sensors and actuators implemented to sense data from real environment within a network. The sensors and actuators embedded in real scenario enables transformation of intelligent environment. Many researchers have developed different solutions for modeling of smart cities, but efficient systems are not addressed in terms of efficiency. However, we have focused on energy efficient smart lightening system which is an important component of a smart city. In our proposed model, we have divided street lights energy usage into three categories: low, moderate and high. The street light energy usage is low when there is a day light, moderate when there is no heavy traffic on roads and high when there is heavy traffic on roads. Street lights turn on when a vehicle enters in a passage after sensing its entry within a region. A passage is collection of sensors which detects a vehicle and turn on all lights of the passage based on Unified Modeling Language (UML) sequence diagram. The sequence diagram is further converted into Deterministic Finite Automata (DFA) by which validation of the model is done. The DFA model is transformed into a formal model using Vienna Development Method-Specification Language (VDM-SL). The proof of correctness is provided by using VDM-SL toolbox.
机译:通过Internet在网络内通过Internet感测数据,过程和彼此通信的传感器和执行器的集合称为Internet Internet(IoT)。智能城市是智能状态,传感器和执行器的集成,以便从网络内的真实环境中感测数据。嵌入在实际方案中的传感器和执行器可实现智能环境的转换。许多研究人员对智能城市建模开发了不同的解决方案,但在效率方面没有解决有效的系统。然而,我们专注于节能智能闪电系统,这是智能城市的重要组成部分。在我们拟议的模型中,我们已经将街灯能量使用分为三类:低,中等和高。街道光能使用寿命较低,当时道路在道路上没有繁重的交通和道路交通拥挤时,温和。当车辆在一个区域内进入一段通道时,街灯打开。通过基于统一建模语言(UML)序列图,通过传感器的集合,该传感器检测车辆并打开通道的所有灯光(UML)序列图。序列图进一步转换为确定性有限自动机(DFA),通过该机模型验证。 DFA模型使用维也纳开发方法 - 规范语言(VDM-SL)转换为正式模型。使用VDM-SL工具箱提供正确性证明。

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