DORS: A data overhead reduction scheme for hybrid networks in smart cities,International Journal of Communication Systems

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DORS: A data overhead reduction scheme for hybrid networks in smart cities
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-04-22 , DOI: 10.1002/dac.4435
Omar Said _{1,

2} , Amr Tolba _{2,

3}

Affiliation

Today, smart cities represent an effective digital platform for facilitating our lives by shifting all stakeholders toward more sustainable behavior. Consequently, the field of smart cities has become an increasingly important research area. The smart city comprises a huge number of hybrid networks, with each network containing an enormous number of nodes that transmit massive amounts of data, thus giving rise to many network problems, such as delay and loss of connectivity. Decreasing the amount of such transmitted data is a great challenge. This paper presents a data overhead reduction scheme (DORS) for heterogeneous networks in smart city environments that comprise five different methods: median, nonlinear least squares, compression, data merging, and prioritization. Each method is applied according to the current status of quality of service. To measure the performance of the proposed model, a simulation environment is constructed for a smart city using network simulation package, NS2. The obtained results indicate that DORS has the capability to decrease the size of transmitted data in the simulated smart city environment while attaining a notable performance enhancement in terms of data reduction rate, end‐to‐end delay, packet loss ratio, throughput, and energy consumption ratio.

中文翻译：

DORS：智慧城市中混合网络的数据开销减少方案

如今，智慧城市已成为一个有效的数字平台，可通过使所有利益相关者转向更具可持续性的行为来改善我们的生活。因此，智慧城市领域已成为越来越重要的研究领域。智慧城市包含大量的混合网络，每个网络包含大量传输大量数据的节点，因此会引起许多网络问题，例如延迟和连接中断。减少这种传输数据的数量是一个巨大的挑战。本文介绍了智能城市环境中异构网络的数据开销减少方案（DORS），该方案包括五种不同的方法：中位数，非线性最小二乘法，压缩，数据合并和优先级划分。根据服务质量的当前状态应用每种方法。为了衡量所提出模型的性能，使用网络仿真程序包NS2为智能城市构建了一个仿真环境。获得的结果表明，DORS能够在模拟的智能城市环境中减少传输数据的大小，同时在数据减少率，端到端延迟，丢包率，吞吐量和能耗方面均具有显着的性能提升。消费比例。

更新日期：2020-04-22

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