Proceedings of the 18th international conference on World wide web
On the 95-Percentile Billing Method
PAM '09 Proceedings of the 10th International Conference on Passive and Active Network Measurement
On cellular botnets: measuring the impact of malicious devices on a cellular network core
Proceedings of the 16th ACM conference on Computer and communications security
Characterizing radio resource allocation for 3G networks
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Speed testing without speed tests: estimating achievable download speed from passive measurements
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Discrete wavelet transform-based time series analysis and mining
ACM Computing Surveys (CSUR)
Characterizing and modeling internet traffic dynamics of cellular devices
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
AccuLoc: practical localization of performance measurements in 3G networks
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Comparative traffic analysis study of popular applications
EUNICE'11 Proceedings of the 17th international conference on Energy-aware communications
Entropy-based algorithms for best basis selection
IEEE Transactions on Information Theory - Part 2
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Cellular network-based machine-to-machine (M2M) communication is fast becoming a market-changing force for a wide spectrum of businesses and applications such as telematics, smart metering, point-of-sale terminals, and home security and automation systems. In this paper, we aim to answer the following important question: Does traffic generated by M2M devices impose new requirements and challenges for cellular network design and management? To answer this question, we take a first look at the characteristics of M2M traffic and compare it to traditional smartphone traffic. We have conducted our measurement analysis using a week-long traffic trace collected from a tier-1 cellular network in the US. We characterize M2M traffic from a wide range of perspectives, including temporal dynamics, device mobility, application usage, and network performance. Our experimental results show that M2M traffic exhibits significantly different patterns than smartphone traffic inmultiple aspects. For instance, M2M devices have a much larger ratio of uplink-to-downlink traffic volume, their traffic typically exhibits different diurnal patterns, they are more likely to generate synchronized traffic resulting in bursty aggregate traffic volumes, and are less mobile compared to smartphones. On the other hand, we also find that M2M devices are generally competing with smartphones for network resources in co-located geographical regions. These and other findings suggest that better protocol design, more careful spectrum allocation, and modified pricing schemes may be needed to accommodate the rise of M2M devices.