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QoS Analysis for a Nonpreemptive Continuous Monitoring and Event-Driven WSN Protocol in Mobile Environments

机译:在移动环境中的非掠夺连续监测和事件驱动的WSN协议的QoS分析

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Evolution in wireless sensor networks (WSNs) has allowed the introduction of new applications with increased complexity regarding communication protocols, which have to ensure that certain QoS parameters are met. Specifically, mobile applications require the system to respond in a certain manner in order to adequately track the target object. Hybrid algorithms that perform Continuous Monitoring (CntM) and Event-Driven (ED) duties have proven their ability to enhance performance in different environments, where emergency alarms are required. In this paper, several types of environments are studied using mathematical models and simulations, for evaluating the performance of WALTER, a priority-based nonpreemptive hybrid WSN protocol that aims to reduce delay and packet loss probability in time-critical packets. First, randomly distributed events are considered. This environment can be used to model a wide variety of physical phenomena, for which report delay and energy consumption are analyzed by means of Markov models. Then, mobile-only environments are studied for object tracking purposes. Here, some of the parameters that determine the performance of the system are identified. Finally, an environment containing mobile objects and randomly distributed events is considered. It is shown that by assigning high priority to time-critical packets, report delay is reduced and network performance is enhanced.
机译:无线传感器网络(WSN)的演进允许引入具有关于通信协议的复杂性的新应用,这必须确保满足某些QoS参数。具体地,移动应用程序要求系统以某种方式响应,以便充分跟踪目标对象。执行连续监测(CNTM)和事件驱动(ED)职责的混合算法已证明它们能够提高不同环境中的性能,需要紧急警报。在本文中,使用数学模型和模拟研究了几种环境,用于评估Walter的性能,这是一种基于优先级的非覆盖混合WSN协议,其旨在降低时间关键数据包中的延迟和分组损耗概率。首先,考虑随机分布的事件。该环境可用于建模各种物理现象,通过Markov模型分析报告延迟和能量消耗。然后,对目标跟踪目的研究了仅移动的环境。这里,确定了一些确定系统性能的参数。最后,考虑了包含移动对象和随机分布式事件的环境。结果表明,通过将高优先级分配给时间关键分组,减少了报告延迟,并增强了网络性能。

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