基于应用的智能监控系统集群和特定连接路由协议

Jonnel D. Alejandrino, Ronnie S. Concepcion, Sandy C. Lauguico, Ramón Flores, A. Bandala, E. Dadios
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引用次数: 2

摘要

数据采集是智能监控系统的关键环节。在监测、控制和执行过程之间,对用于维护的参数进行密集监测是必不可少的。综上所述,无线传感器网络(WSN)提供的数据采集和管理的渐进式能力取决于底层路由协议和连接算法的几个属性,主要是基于应用程序的集群协议,该协议在网络网关、应用服务器和传感器节点/点之间使用。此外,由于环境传感器的大量集成和向远程站点发送信息而引起的拥塞,在检测网络拥塞时,受到motes的异构性和移动性的极大影响。基于应用程序的路由协议和特定于连接的算法的组合已经被开发出来,以实现更好的多传感器集成性能,包括网络生命周期、连接网络覆盖和其他QoS指标,作为当前系统的替代方案。优化方法采用应用优先级依赖传输,突出应用优先级调节“到达率”。利用MATLAB R2019a对提出的算法进行验证,并与标准设置(基本参数)和自适应布谷鸟搜索(ACS)算法进行技术比较。技术结果表明,该算法在最小覆盖面积、拥塞程度和网络寿命上分别比初始设置提高了62.71%、75.03%和40.64%。
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Application-based Cluster and Connectivity-Specific Routing Protocol for Smart Monitoring System
Data acquisition is a crucial process in smart monitoring system. Intensive monitoring of parameters used for maintenance between the process of monitoring, controls and actuation is essential. All things considered, progressive ability of data acquisition and management provided by wireless sensor networks (WSN) is dependent on several attributes of the underlying routing protocol and connectivity algorithm, predominantly the application-based cluster protocol that is utilized among network gateway, application server and sensor nodes/motes. Further along, congestions caused by numerous integrations of environmental sensors and sending of information to remote stations is greatly affected by the heterogeneity and mobility of the motes in detecting congestion in a network. A combination of application-based routing protocol and connectivity-specific algorithm has been developed to achieved better performance of multiple sensors integration in terms of network lifetime, connectivity network coverage, and other QoS metrics as an alternative to the current system being used. The Application priority-reliant transmission is utilized for the optimizing methodology, it highlights the application priority in regulating the “rate of arrival”. MATLAB R2019a was utilized in validating the proposed algorithm and then technically compared with standard setup (with fundamental parameters) and Adaptive Cuckoo Search (ACS) algorithms. Results technically showed that the proposed algorithm is preferential than the initial setup by an improvement of 62.71% in minimum coverage area, 75.03% in Congestion Level and 40.64% in networklifetime.
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