2015 International Conference on Computing, Networking and Communications (ICNC)最新文献_第2页

A security-enhanced routing algorithm with path randomization 一种具有路径随机化的安全增强路由算法

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069510

Mario Pagan, Audrey Hession, Shengli Yuan

引用次数: 5

Caching over-the-top services, the Netflix case 缓存顶级服务，Netflix的例子

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069499

S. A. Jensen, M. Jensen, José M. Gutiérrez López

{"title":"Caching over-the-top services, the Netflix case","authors":"S. A. Jensen, M. Jensen, José M. Gutiérrez López","doi":"10.1109/ICCNC.2015.7069499","DOIUrl":"https://doi.org/10.1109/ICCNC.2015.7069499","url":null,"abstract":"Over-the-top (OTT) traffic represents around 67% of the downstream Internet data volume during peak periods in the US. OTT content providers have been following the strategy of deploying caching servers within the ISPs' own networks. This work presents a method for deciding where these caches for OTT services can be conveniently deployed to provide significant traffic offload to ISPs' back-haul links. The procedure followed is to find suitable caching locations that minimize the maximum link traffic load. The problem is defined and solved as a Link Load Balanced Capacitated Facility Location Problem (LLB-CFL). The solution search processes are implemented based on Genetic Algorithms (GA), designing genetic operators highly targeted towards this specific problem. The proposed methods are applied to a case study focusing on the demand and cache specifications of Netflix, and framed into a real geographical area, the island of Bornholm, Denmark. The results cover a thorough analysis of the cost-fitness trade-off of the search method and an evaluation of both cache and gateway traffic flowing in the network in relation to the solutions found using different network topologies.","PeriodicalId":219966,"journal":{"name":"2015 International Conference on Computing, Networking and Communications (ICNC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133012858","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

Carrier frequency offset correction for uplink multi-user MIMO for next generation Wi-Fi 面向下一代Wi-Fi的上行多用户MIMO载波频偏校正

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069484

Nirav Shah, M. Ghosh, Pengfei Xia, Zihao You, Frank LaSita, R. Olesen, O. Oteri

引用次数: 7

Early detection of DDoS attacks against SDN controllers 早期检测针对SDN控制器的DDoS攻击

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069319

S. Mousavi, M. St-Hilaire

引用次数: 273

Stochastic delay analysis of an architecture integrating VANET with LTE networks VANET与LTE网络集成体系结构的随机时延分析

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069358

Suling Ou, L. Lei, K. Zheng, Y. Li

引用次数: 2

An iterative LR-aided MMSE extended soft MIMO decoding algorithm 一种迭代lr辅助MMSE扩展软MIMO译码算法

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069464

Mehnaz Rahman, E. Rohani, G. Choi

引用次数: 10

Compression and data mining 压缩和数据挖掘

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069404

D. Simovici, Ping Chen, Tong Wang, D. Pletea

引用次数: 5

Optimum power and rate allocation in cluster based video sensor networks 基于集群的视频传感器网络功率和速率优化分配

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069338

Aisha Arar, A. El-Sherif, Amr M. Mohamed, Victor C. M. Leung

{"title":"Optimum power and rate allocation in cluster based video sensor networks","authors":"Aisha Arar, A. El-Sherif, Amr M. Mohamed, Victor C. M. Leung","doi":"10.1109/ICCNC.2015.7069338","DOIUrl":"https://doi.org/10.1109/ICCNC.2015.7069338","url":null,"abstract":"In a wireless video sensor network (WVSN), each video sensor node consumes a significant amount of power on video compression in addition to the required power for communication. Therefore, the power optimization is a more critical issue in WVSN. This paper presents a cross-layer algorithm for the minimization of the total power in a video sensor network organized in a clustered architecture. The algorithm minimizes the total power in the network by jointly optimizing the encoding and transmission powers, in addition to the source encoding rate at each video sensor node. Furthermore, the allocation of the MAC layer resources (time slots and frequency bands) considering flat fading channel is addressed. We formulate the problem as a non-linear optimization, and propose a solution based on Lagrange duality subject to video signal distortion and packet loss constraints. The simulation results show the trade-off between allocating power to the encoding process or the transmission process. Moreover, the interaction between the nodes competing for channel resources for both intra-cluster, and inter-cluster bases, and how this affects their power consumption and distortion levels is studied.","PeriodicalId":219966,"journal":{"name":"2015 International Conference on Computing, Networking and Communications (ICNC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115635953","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: 3

Evaluating the gap between compressive sensing and distributed source coding in WSN WSN中压缩感知与分布式源编码的差距评估

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069468

M. Rossi, M. Hooshmand, D. Zordan, M. Zorzi

{"title":"Evaluating the gap between compressive sensing and distributed source coding in WSN","authors":"M. Rossi, M. Hooshmand, D. Zordan, M. Zorzi","doi":"10.1109/ICCNC.2015.7069468","DOIUrl":"https://doi.org/10.1109/ICCNC.2015.7069468","url":null,"abstract":"Despite the large body of theoretical research available on compression algorithms for wireless sensor networks (WSNs), only recently have researchers started to design and analyze practical distributed compression techniques. Also, approaches belonging to different fields such as signal processing (e.g., discrete Fourier transforms and compressive sensing) or information theory (e.g., distributed source coding) and networking are seldom evaluated against one another. In the present contribution, we consider practical lossy compression schemes that rely on different techniques, such as the exploitation of the temporal and spatial dynamics of the signal as well as recent algorithms based on Compressive Sensing (CS). These techniques are adapted so as to be efficiently applied, within the same data collection framework, to a distributed WSN. Hence, we carry out a comparative performance analysis of these schemes, assessing their performance in terms of reconstruction error vs energy requirements. From this, several interesting observations are derived, which allow the identification of the best performing algorithm(s) as a function of the spatio-temporal characteristics of the signal. For CS, we assess the impact of the node selection scheme (scheduling) and gauge its performance gap with respect to an idealized CS scheme where the signal covariance matrix is perfectly known at the reconstruction point. We finally identify areas that need improvement, especially for the enhancement of CS-based compression.","PeriodicalId":219966,"journal":{"name":"2015 International Conference on Computing, Networking and Communications (ICNC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122707892","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: 11

Hybrid WiFi/UWB, cooperative localization using Particle Filter WiFi/UWB混合，粒子滤波协同定位

2015 International Conference on Computing, Networking and Communications (ICNC) Pub Date : 2015-03-30 DOI: 10.1109/ICCNC.2015.7069494

Nader Bargshady, K. Pahlavan, N. Alsindi

引用次数: 21