Energy-delay tradeoffs in smartphone applications
Proceedings of the 8th international conference on Mobile systems, applications, and services
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
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. In order to overcome the inability of such models, energy efficiency evaluation under complex configurations and topologies, should be experimentally investigated, using online energy monitoring solutions. In this work, we present the innovative NITOS Energy consumption Monitoring Framework (EMF) and demonstrate how online and distributed energy monitoring can facilitate energy performance assessment of realistic testbed experiments.