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基于智能建筑环境的吞吐量和QoS优化方案
Throughput and Qo S optimization scheme based on intelligent building environment
【摘要】 物联网(Io T)由各种异构设备组成,这些异构设备表现出不同的流量模式,并期望在数据速率、误码率和信道稳定性指数方面具有不同的服务质量(Qo S)。针对以上问题,提出了一种为智能建筑内的异构Io T设备分配信道的优化方案。该方案使用基于粒子群优化的新算法,进行了仿真以评估所提出算法的性能。结果表明,相比于其他方案,该方案在可靠性(低误码率)方面提高了39.68%。在网络的总吞吐量方面,提出方案与贪婪和随机共享方案相比,分别提高了16.25%和75%。该方案可以支持更高密度的用户,并获得显著性能增益。
【Abstract】 Because the Internet of Things(IoT)is composed of various heterogeneous devices,these heterogeneous devices show different traffic patterns and expect different Quality of Service(QoS)in terms of data rate,bit error rate and channel stability index. To solve the above problems,an optimization scheme for allocating channels to heterogeneous Io T devices in intelligent buildings is proposed. The scheme uses a new algorithm based on particle swarm optimization to evaluate the performance of the proposed algorithm. The results show that the reliability(low bit error rate)is improved by 39.68%. In terms of network throughput,compared with greedy and random sharing schemes,the proposed scheme improves the throughput by 16.25% and 75% respectively. This scheme can support higher density users and obtain significant performance gain.
【Key words】 Internet of Things; channel scheduling; service quality; intelligent building;
- 【文献出处】 电子设计工程 ,Electronic Design Engineering , 编辑部邮箱 ,2022年21期
- 【分类号】TP391.44;TN929.5;TU855
- 【下载频次】52