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SDN-MCHO: Software Define network based Multi-criterion Hysteresis Optimization based for reliable device routing in Internet of Things for the smart surveillance application

机译:SDN-MCHO:软件定义基于网络的多标准滞后优化,基于可靠的设备路由在智能监控应用中的互联网上

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摘要

Internet of Things (IoT) is a sophisticated communication paradigm that is capable of integrating diverse elements from humans to interactive machines. This kind of integration provides seamless and ubiquitous communication support for mobile users. The infrastructure of IoT environment endorses multiple technologies and networks where, selecting a precise neighbor/device becomes mandatory for the extreme surveillance application. It determines the reliability is service discovery and resource access. The process of request processing through reliable neighbor discovery is leveraged using multi-criterion hysteresis optimization (MCHO) based on SDN aided routing that is discussed in this article. The introduced routing optimization method is capable of identifying reliable IoT neighbors for request handling and delivery. This routing process depends on the activation function that classifies neighbors on the basis of three metrics namely Received Signal Strength (RSS), Rank, and Expected Transmission Count (ETX)for differentiating the neighbors on the basis of their consistency. Through differentiated hysteresis analysis, the neighbors are segregated and hence optimal devices are integrated to form a request friendly route to the access layer. The introduced routing optimization method is evaluated through appropriate experiments and the results are verified using the metrics: throughput, request delivery ratio, delay, response time, request loss and average ETX.
机译:事情互联网(物联网)是一种复杂的通信范式,能够将不同的元素与人类集成到交互式机器。这种集成为移动用户提供了无缝和无处不在的通信支持。 IOT环境的基础设施通过了多种技术和网络,其中选择精确的邻居/设备对于极端监视应用程序。它确定可靠性是服务发现和资源访问。通过基于本文讨论的SDN辅助路由,利用可靠邻居发现的请求处理的过程利用了本文中讨论的SDN辅助路由。介绍的路由优化方法能够识别可靠的IOT邻居,以便请求处理和交付。此路由过程取决于在三个度量的基础上对邻居进行分类的激活函数,即接收的信号强度(RSS),等级和预期传输计数(ETX),用于基于它们的一致性来区分邻居。通过差异化的滞后分析,邻居被分离,因此集成了最佳设备以形成到访问层的请求友好路由。通过适当的实验评估引入的路由优化方法,并使用度量来验证结果:吞吐量,请求传递比率,延迟,响应时间,请求损耗和平均ETX。

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