Mobile agent middleware for sensor networks: an application case study
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Low-Power Radio Design for Wireless Smart Sensor Networks
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
Modeling Power in Multi-functionality Sensor Network Applications
SENSORCOMM '08 Proceedings of the 2008 Second International Conference on Sensor Technologies and Applications
Experimental Analysis of Wireless Sensor Nodes Current Consumption
SENSORCOMM '08 Proceedings of the 2008 Second International Conference on Sensor Technologies and Applications
Proactive reconfiguration of wireless sensor networks
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Journal of Intelligent and Robotic Systems
Throughput analysis of multiple channel based wireless sensor networks
Wireless Networks
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Substantial characteristics of wireless sensor networks, such as autonomy and miniature size, are achieved at the expense of restricted energy resources. Optimal resource management is thus among the most important challenges in WSNs development and its success requires accurate and practical models based on detailed insight concerning the factors contributing to the overall power consumption of a WSN mote. To achieve such awareness, that will enable models development, appropriate measuring test-beds and methodologies are needed, facilitating reliable and accurate power consumption measurements of critical functionalities. To cover the need for energy models that precisely define the power consumption behavior of WSN hardware platforms, this paper contributes with a measuring methodology including three steps: the design and implementation of a measuring system for a wide range of power consumption thresholds, the identification, isolation and measurement of elementary functionalities of a WSN platform with respect to their contribution to the overall mote power consumption, and the extraction of valuable conclusions based on the respective measurements resulting in the composition of a practical, yet accurate power consumption model.