2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)最新文献_第4页

An ontological ubiquitous city information platform provided with Cyber-Physical-Social-Systems 基于Cyber-Physical-Social-Systems的本体论泛在城市信息平台

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444746

A. Costanzo, A. Faro, D. Giordano, C. Spampinato

引用次数: 19

A probabilistic convergecast protocol for vehicle to infrastructure communication in ITS architecture 一种用于ITS体系结构中车辆与基础设施通信的概率收敛协议

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444877

Arslane Hamza Cherif, K. Boussetta, G. Diaz, F. Didi

引用次数: 4

Highway and rate prediction downlink scheduler (HRPDS) for LTE-A real time applications 用于LTE-A实时应用的高速公路和速率预测下行调度程序(HRPDS)

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444927

Saloua Hendaoui, N. Zangar, S. Tabbane

{"title":"Highway and rate prediction downlink scheduler (HRPDS) for LTE-A real time applications","authors":"Saloua Hendaoui, N. Zangar, S. Tabbane","doi":"10.1109/CCNC.2016.7444927","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444927","url":null,"abstract":"A Long Term Evolution Advanced (LTE-A) downlink scheduler must guarantee the Quality of Service (QoS) provisioning. Existing schedulers consider the Channel Quality Indicator (CQI) reports to determine their priority rules. Nevertheless, these reports may not be sufficiently accurate. In addition, existing scheduling policies fail to provide a good tradeoff among low Packet Loss Ratio (PLR) and bounded delay, which is primordial in QoS provisioning. In this paper, we propose a new LTE-A downlink scheduler based on rate prediction. The proposal consists of a semipersistent downlink scheduler oriented for Real time (RT) applications. It is based on an algorithm called Predicted Bit-Rate (PBR). The proposed scheduler is called Highway and Rate Prediction Downlink Scheduler (HRPDS). The main contribution targeted in this paper is guaranteeing an enhanced trade-off between low PLR and bounded delay. In addition, we support prediction in an aim to guarantee a more accurate resource assignment. Further, analytical study shows that the proposal is consistent in terms of QoS provisioning. Simulation results validate the analytical study and prove that the proposed scheduler outperforms the existing schedulers.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"461 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123049581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A genetic algorithm-based solution for efficient in-network sensor data annotation in virtualized Wireless Sensor Networks 一种基于遗传算法的虚拟化无线传感器网络中传感器数据高效注释解决方案

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444798

Imran Khan, Jagruti Sahoo, S. Han, R. Glitho, N. Crespi

引用次数: 6

Dynamic cache optimization for DASH clients in Content Delivery Networks 内容交付网络中DASH客户端的动态缓存优化

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444922

A. Heikkinen, T. Ojanperä, Janne Vehkaperä

引用次数: 6

Resisting blackhole attacks on MANETs 抵抗黑洞对manet的攻击

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444935

Mohamed A. Abdelshafy, P. King

{"title":"Resisting blackhole attacks on MANETs","authors":"Mohamed A. Abdelshafy, P. King","doi":"10.1109/CCNC.2016.7444935","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444935","url":null,"abstract":"MANET routing protocols are designed based on the assumption that all nodes cooperate without maliciously disrupting the operation of the routing protocol. AODV is a reactive MANET routing protocol that is vulnerable to a dramatic collapse of network performance in the presence of blackhole attack. The paper introduces a new concept of Self-Protocol Trustiness (SPT) in which detecting a malicious intruder is accomplished by complying with the normal protocol behavior and lures the malicious node to give an implicit avowal of its malicious behavior. We present a Blackhole Resisting Mechanism (BRM) to resist such attacks that can be incorporated into any reactive routing protocol. It does not require expensive cryptography or authentication mechanisms, but relies on locally applied timers and thresholds to classify nodes as malicious. No modifications to the packet formats are needed, so the overhead is a small amount of calculation at nodes, and no extra communication. Using NS2 simulation, we compare the performance of networks using AODV under blackhole attacks with and without our mechanism to SAODV, showing that it significantly reduces the effect of a blackhole attack.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116277003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

Redundancy Control using software defined networking 使用软件定义网络的冗余控制

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444854

D. Comer, Rajas H. Karandikar, Adib Rastegarnia

引用次数: 2

Simulation based comparative performance analysis of QoS traffic scheduling using fair and delay adaptive scheduler (FDAS) versus WFQ and EDF 基于仿真的基于公平和延迟自适应调度(FDAS)与WFQ和EDF的QoS流量调度性能比较分析

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444910

Abdelwahab M. Elnaka, Q. Mahmoud, Xining Li

{"title":"Simulation based comparative performance analysis of QoS traffic scheduling using fair and delay adaptive scheduler (FDAS) versus WFQ and EDF","authors":"Abdelwahab M. Elnaka, Q. Mahmoud, Xining Li","doi":"10.1109/CCNC.2016.7444910","DOIUrl":"https://doi.org/10.1109/CCNC.2016.7444910","url":null,"abstract":"Several objectives are aimed when scheduling traffic for transmission on heterogeneous networks. Traffic flows might belong and required to satisfy different set of requirements for a diverse set of applications, end users and networks. Schedulers have several goals to achieve in order to meet the needs of all stakeholders involved. Some schedulers are built to ensure fairness in bandwidth allocation, others try to prioritize certain flows and increase their share in the network resources, typically available bandwidth, and last but not least some are built to meet the stringent and time critical delay constraint of certain flows. Weighted fair queuing (WFQ) is a very well known scheduling algorithm that fairly allocates bandwidth between a set of flows contending for available output bandwidth while taking their weights into its scheduling calculation. Earliest deadline first (EDF), on the other hand, is a scheduling mechanism that favors flow packets that are about to expire and gives them preferential treatment and priority to be transmitted first. Neither WFQ nor EDF achieves both fairness and deadline goals simultaneously. For this reason, we introduced our fair and delay adaptive scheduler (FDAS) to bridge the gap and balance between fairness and delay requirements of incoming traffic flows. In this paper, we present a detailed simulation comparative study to manifest the difference between our proposed scheduler and the two popular schedulers and how it outperforms both to relatively achieve both bandwidth allocation fairness and traffic delay bound objectives simultaneously.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128188517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

PLR-delay aware downlink scheduler (PDADS): A novel scheme based on packet prediction mechanism PLR-delay感知下行链路调度器(PDADS):一种基于分组预测机制的新方案

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444883

Saloua Hendaoui, N. Zangar, S. Tabbane

引用次数: 0

Machine learning-based spectrum decision algorithms for Wireless Sensor Networks 基于机器学习的无线传感器网络频谱决策算法

2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC) Pub Date : 2016-03-31 DOI: 10.1109/CCNC.2016.7444931

Vinicius F. e Silva, D. Macedo, Jesse L. Leoni

引用次数: 3