Optimum network selection in heterogeneous wireless environment using gravitational search algorithm

P. Kumari, I. S. Prabha
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引用次数: 5

Abstract

In recent years, the growth in user demand and diversity of real time services has lead to the integration of different wireless technologies. Cellular technologies can provide data services over a wide area, but with lower data rates. Wireless Local Area Network (WLAN) technologies offer higher data rates, but over smaller hotspots. The demand for ubiquitous data service can be fulfilled, if it is possible for the end-user to seamlessly roam between these heterogeneous technologies. In an environment of wireless networks with different standards, choosing an optimum network to handoff the ongoing service plays a crucial role. An efficient network selection algorithm using different network metrics is developed in this paper for performing vertical handoff decision function. Dynamic weights assigned to these metrics are optimized using Gravitational Search Algorithm (GSA). The network with highest handoff decision value is qualified as the optimum network for handoff execution resulting in better Quality of Service (QOS).
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基于引力搜索算法的异构无线环境下最优网络选择
近年来,用户需求的增长和实时业务的多样化导致了不同无线技术的融合。蜂窝技术可以在大范围内提供数据服务,但数据速率较低。无线局域网(WLAN)技术提供更高的数据速率,但在较小的热点上。如果最终用户能够在这些异构技术之间无缝地漫游,则可以满足对无处不在的数据服务的需求。在不同标准的无线网络环境下,选择一个最优的网络进行业务的切换是至关重要的。本文提出了一种利用不同网络度量来执行垂直切换决策函数的高效网络选择算法。分配给这些指标的动态权重使用引力搜索算法(GSA)进行优化。切换决策值最高的网络被认为是切换执行的最佳网络,从而获得更好的服务质量(QOS)。
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