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Probabilistic Classification Models for Reliable Vertical Handoff in Heterogeneous Wireless Networks

机译:异构无线网络中可靠垂直切换的概率分类模型

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Cooperative Communication refers to a communication framework in Next Generation wireless networks. In this framework, multiple wireless networks provide mutual cooperation, such that, the wireless network user is provided with requested services. The Vertical Handoff is one such technique, which is used in cooperative communication. In this technique, if a client cannot be provided with the requested Quality of Service (QoS), then, the client is migrated from the current wireless network to another available wireless network, which can deliver the requested QoS. To perform this vertical handoff, important parameters such as service cost, data transmission rate, the speed of the mobile device, network latency, the battery level of the mobile device, received signal strength information (RSSI) etc are usually considered. Many vertical handoff techniques in the literature have focused on effective network selection problem, wherein, the most suitable network is searched for performing vertical handoff. The suitability of a network depends on its ability to provide requested QoS. All these proposed techniques have given excellent performance in achieving this goal. But, most of these techniques have ignored the issue of Reliability in making vertical handoff decisions, wherein, the selected network to which handoff will be made should provide requested QoS for a prolonged period, and avoid frequent new handoff scenario. Frequent handoff can be expensive and inefficient for the client. Hence, the handoff decision should achieve the dual goal of suitability and reliability. In this work, a new vertical handoff scheme is proposed, which achieves the dual goal of suitability and reliability. Two probabilistic classification models namely Bayesian classification model and Sample Distribution model are designed for building the proposed vertical handoff scheme. The empirical results demonstrate the effectiveness wrt reliability and suitability of both these models in making handoff decisions.
机译:合作通信是指下一代无线网络中的通信框架。在该框架中,多个无线网络提供相互合作,使得无线网络用户被提供有所请求的服务。垂直切换是一种这样的技术,其用于协同通信。在该技术中,如果客户端不能提供所请求的服务质量(QoS),则客户端将从当前无线网络迁移到另一个可用的无线网络,其可以提供所请求的QoS。为了执行该垂直切换,通常考虑如服务成本,数据传输速率,移动设备的速度,移动设备的电池电量,接收信号强度信息(RSSI)等的重要参数。文献中的许多垂直切换技术专注于有效的网络选择问题,其中,搜索最合适的网络以执行垂直切换。网络的适用性取决于其提供所要求的QoS的能力。所有这些拟议的技术都在实现这一目标方面具有出色的性能。但是,这些技术中的大多数都忽略了在制造垂直切换决策时的可靠性问题,其中,将进行切换的所选择的网络应该为长时间提供请求的QoS,并避免频繁的新切换方案。频繁的切换可能是昂贵且客户的效率低。因此,切换决定应达到适合性和可靠性的双重目标。在这项工作中,提出了一种新的垂直切换方案,实现了适合性和可靠性的双重目标。两个概率分类模型即贝叶斯分类模型和样品分布模型设计用于构建所提出的垂直切换方案。经验结果展示了这两种模型在切换决策方面的有效性WRT可靠性和适用性。

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