An experimental study on the capture effect in 802.11a networks
Proceedings of the second ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
Symphony: synchronous two-phase rate and power control in 802.11 wlans
Proceedings of the 6th international conference on Mobile systems, applications, and services
Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Energy-delay tradeoffs in smartphone applications
Proceedings of the 8th international conference on Mobile systems, applications, and services
Demystifying 802.11n power consumption
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
Avoiding the rush hours: WiFi energy management via traffic isolation
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
E-MiLi: energy-minimizing idle listening in wireless networks
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Snooze: energy management in 802.11n WLANs
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
Energy-based rate adaptation for 802.11n
Proceedings of the 18th annual international conference on Mobile computing and networking
Energy consumption anatomy of 802.11 devices and its implication on modeling and design
Proceedings of the 8th international conference on Emerging networking experiments and technologies
Proceedings of the 8th ACM international workshop on Wireless network testbeds, experimental evaluation & characterization
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Development of energy-efficient protocols and algorithms requires in-depth understanding of the power consumption characteristics of real world devices. To this aim, energy efficiency analysis is performed by the research community, mainly focusing on the development of power consumption models. However, recent studies [1] have highlighted the inability of existing models to accurately estimate energy consumption even in non-composite scenarios, where the operation of a single device is analyzed. The inability of such models is further highlighted under real life scenarios, where the impact induced by the simultaneous operation of several devices renders the application of traditional models completely inappropriate. As a result, energy efficiency evaluation under complex configurations and topologies, needs to be experimentally investigated through the application of online monitoring solutions. In this work, we propose the innovative NITOS Energy consumption Monitoring Framework (EMF) able to support online monitoring of energy expenditure, along with the experiment execution. The developed framework is built on a distributed network of low-cost, but highly accurate devices and is fully integrated with the large-scale wireless NITOS testbed. Framework evaluation is performed under both low-level experiments that demonstrate the platform's high-level accuracy, as well as through high-level experiments that showcase how online and distributed monitoring can facilitate energy performance assessment of realistic testbed experiments.