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Energy Consumption and Lifetime of Wireless Sensor Networks Applications in Smart Cities: Simulation for Urban Mobility

机译:智能城市中无线传感器网络应用的能耗和寿命:城市移动性仿真

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From now to 2030, the world urban mobility will increase by 50%. This increase will be mainly performed in developing countries which already suffer from congestion traffic especially in large cities where road traffic reaches a high density. This situation leads to a serious impact on the economic and social growth. The urban traffic management has become an essential factor. Within the framework of a Moroccan city like Casablanca (1.5 million vehicles a day run there), an efficient road traffic management turns to be necessary so as to solve the serious problem of traffic jams and to decrease the problem of traffic jams and improve the fluidity of the road traffic. We are settling intelligent systems transport (IST) such as the case of smart cities. The traffic simulation is a better way to evaluate a road traffic network. The latter is simulated by using two simulators, Green Light district (GLD) and Simulator Urban Mobility (SUMO). We have been working with an Open Street Map in the SUMO traffic, in order to get closer to reality. This study describes a low cost and energy saving urban monitoring mobility system based on wireless sensor networks (WSNs). Simulation results show that our suggested algorithm is efficacious and practical in different cases; it could reduce the number of packages sent from each sensor placed on the track. This proposed solution provides the sensor networks with a longer lifetime of sensor networks:by reducing its energy consumption.
机译:从现在到2030年,世界城市交通将增长50%。这种增加将主要在已经遭受交通拥堵的发展中国家,特别是在道路交通密度很高的大城市中进行。这种情况严重影响了经济和社会增长。城市交通管理已成为必不可少的因素。在摩洛哥城市卡萨布兰卡(每天运行150万辆汽车)的框架内,有必要进行有效的道路交通管理,以解决严重的交通拥堵问题并减少交通拥堵问题并提高流动性道路交通我们正在解决智能城市交通等智能系统运输(IST)问题。交通模拟是评估道路交通网络的更好方法。后者是通过使用两个模拟器(绿灯区(GLD)和模拟器城市机动性(SUMO))进行模拟的。我们一直在处理SUMO交通中的开放街道地图,以便更接近现实。这项研究描述了一种基于无线传感器网络(WSN)的低成本,节能的城市监控移动系统。仿真结果表明,本文提出的算法在不同情况下是有效且实用的。这样可以减少从放置在轨道上的每个传感器发送的包裹数量。所提出的解决方案通过减少其能量消耗为传感器网络提供了更长的传感器网络寿命。

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