{"title":"基于人工神经网络的WiMAX VoIP自适应节能机制","authors":"Tamer Z. Emara","doi":"10.4018/978-1-5225-5693-0.CH007","DOIUrl":null,"url":null,"abstract":"The IEEE 802.16 system offers power-saving class type II as a power-saving algorithm for real-time services such as voice over internet protocol (VoIP) service. However, it doesn't take into account the silent periods of VoIP conversation. This chapter proposes a power conservation algorithm based on artificial neural network (ANN-VPSM) that can be applied to VoIP service over WiMAX systems. Artificial intelligent model using feed forward neural network with a single hidden layer has been developed to predict the mutual silent period that used to determine the sleep period for power saving class mode in IEEE 802.16. From the implication of the findings, ANN-VPSM reduces the power consumption during VoIP calls with respect to the quality of services (QoS). Experimental results depict the significant advantages of ANN-VPSM in terms of power saving and quality-of-service (QoS). It shows the power consumed in the mobile station can be reduced up to 3.7% with respect to VoIP quality.","PeriodicalId":251066,"journal":{"name":"Algorithms, Methods, and Applications in Mobile Computing and Communications","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive Power-Saving Mechanism for VoIP Over WiMAX Based on Artificial Neural Network\",\"authors\":\"Tamer Z. Emara\",\"doi\":\"10.4018/978-1-5225-5693-0.CH007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The IEEE 802.16 system offers power-saving class type II as a power-saving algorithm for real-time services such as voice over internet protocol (VoIP) service. However, it doesn't take into account the silent periods of VoIP conversation. This chapter proposes a power conservation algorithm based on artificial neural network (ANN-VPSM) that can be applied to VoIP service over WiMAX systems. Artificial intelligent model using feed forward neural network with a single hidden layer has been developed to predict the mutual silent period that used to determine the sleep period for power saving class mode in IEEE 802.16. From the implication of the findings, ANN-VPSM reduces the power consumption during VoIP calls with respect to the quality of services (QoS). Experimental results depict the significant advantages of ANN-VPSM in terms of power saving and quality-of-service (QoS). It shows the power consumed in the mobile station can be reduced up to 3.7% with respect to VoIP quality.\",\"PeriodicalId\":251066,\"journal\":{\"name\":\"Algorithms, Methods, and Applications in Mobile Computing and Communications\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Algorithms, Methods, and Applications in Mobile Computing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/978-1-5225-5693-0.CH007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Algorithms, Methods, and Applications in Mobile Computing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-5225-5693-0.CH007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
IEEE 802.16系统为诸如VoIP (voice over internet protocol)等实时业务提供了II类节能算法。然而,它没有考虑到VoIP会话的静默期。本章提出了一种基于人工神经网络(ANN-VPSM)的节能算法,该算法可应用于WiMAX系统上的VoIP业务。针对ieee802.16节能类模式的休眠周期,提出了一种基于单隐层前馈神经网络的人工智能模型,用于预测节能类模式的相互沉默周期。从研究结果的含义来看,ANN-VPSM在VoIP呼叫期间降低了与服务质量(QoS)相关的功耗。实验结果表明,ANN-VPSM在节能和服务质量(QoS)方面具有显著优势。它显示移动站中消耗的功率可以在VoIP质量方面减少3.7%。
Adaptive Power-Saving Mechanism for VoIP Over WiMAX Based on Artificial Neural Network
The IEEE 802.16 system offers power-saving class type II as a power-saving algorithm for real-time services such as voice over internet protocol (VoIP) service. However, it doesn't take into account the silent periods of VoIP conversation. This chapter proposes a power conservation algorithm based on artificial neural network (ANN-VPSM) that can be applied to VoIP service over WiMAX systems. Artificial intelligent model using feed forward neural network with a single hidden layer has been developed to predict the mutual silent period that used to determine the sleep period for power saving class mode in IEEE 802.16. From the implication of the findings, ANN-VPSM reduces the power consumption during VoIP calls with respect to the quality of services (QoS). Experimental results depict the significant advantages of ANN-VPSM in terms of power saving and quality-of-service (QoS). It shows the power consumed in the mobile station can be reduced up to 3.7% with respect to VoIP quality.