基于sfp的垂直切换与MIH服务集成Wi-Fi和WIMAX网络

Q4 Business, Management and Accounting
Shilpa Litake, P. Mukherji
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引用次数: 1

摘要

为了提供高质量的服务,需要不同无线系统之间的无缝垂直切换。它是由正在开发的标准IEEE 802.21媒体独立切换(MIH)业务实现的。本文采用单AP扫描、快速测距和预配准(SFP)方法,利用PS-GS混合算法根据提出的空闲容量和信号强度选择目标AP。选择目标基站(BS)后,利用RSSI、可用带宽和货币成本,启用基于SINR的切换决策算法。在建议的垂直切换场景中,通过减少扫描时间来最小化MAC开销。从扫描时间、切换中断时间、切换延迟、丢包、包延迟和吞吐量等方面评价了该方法的有效性。与现有的交接程序相比,提出的交接程序取得了更好的效果。结果表明,混合算法保持了最大的逃避局部最优的能力,收敛速度比标准粒子群算法和GSA算法快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SFP-based vertical handover with MIH services for integrated Wi-Fi and WIMAX networks
The seamless vertical handover among different wireless systems are required to offer high quality services. It is attained by the developing standard IEEE 802.21 media independent handover (MIH) services. In this paper, single AP scanning, fast ranging and preregistration (SFP) approach is used in which the target AP is chosen based on the proposed idle capacity and signal strength with hybrid PS-GS algorithm. After selecting the target base station (BS), the handover decision algorithm based on SINR enabled with utilising RSSI, available bandwidth and monetary cost. In the proposed vertical handover scenario, the MAC overhead is minimised by reducing the scanning time. The efficiency of the proposed approach is evaluated in terms of scanning time, handover interruption time, handover latency, packet loss, packet delay and throughput. When compared with the existing handover procedures, better results obtained in the proposed handover procedure. The outcomes demonstrate that the hybrid algorithm retains a maximum capacity to escape from local optimums with faster convergence than the standard PSO and GSA.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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