Energy consumption measurement and analysis in wireless sensor networks for biomedical applications

Abstract

Energy Consumption in Wireless Sensor Networks is a fundamental issue in terms of functionality and network lifetime. Minimization of energy consumption by applying optimization techniques enables pervasive computing especially in the field of biomedical engineering. A framework for energy consumption measurement and analysis is proposed which combines a theoretical approach, a simulation procedure based on a widely used software simulator and the validation by means of a high sensitivity measurement setup. Application driven profiling of energy consumption at the node level is a useful tool for optimal function of energy consumable node components in order to improve total energy efficiency.

A Framework for the Estimation and Validation of Energy Consumption in Wireless Sensor Networks

“…In a previous authors' work, a theoretical tool for energy consumption prediction is presented. A metric of energy consumed on the BSN node is proposed in [34,35] that consists of a hybrid method based on current consumption subsystem specifications and real or simulated timing information for each BSN subsystem. The battery voltage levels are sampled by ADC of MCU in the commercial WSN node used.…”

“…The contribution of the current work with respect to previous authors' work [34,35] lies in the unification of the theoretical modeling, the design and development of an energy consumption simulator for specific TinyOS applications, and the presentation of a theoretical and simulation process for energy consumption metering modules which are designed and developed. Specifically, in the last part of this work, we present the parameters involved in the design and development process, a set of measurements conducted for a variety of TinyOS applications, the optimization process for the minimization of measurement error in electronic metering modules and a rich set of new data concerning TinyOS applications, the simulation results, measurement data, and comparison of each part of the framework with respect to one of the electronic metering modules.…”

“…Oscilloscope family TinyOS applications developed in the context of current research work have also been presented in a previous work [34,35] along with energy consumption optimization techniques. Results depicted in Figure 1 The energy consumption estimation of OscilloscopeWMR from energy simulator is 0.146 mA sec per time period.…”

Empirical studies of wireless sensor network energy consumption for designing RF energy harvesting

“…7(a) and 7(b) show the WSN server module and WSN client module, respectively. The energy consumption of the device is measured using the following procedure [10]. The energy consumption is measured both when the device is in an active and sleep mode.…”

Energy-Efficient ZigBee-Based Wireless Sensor Network for Track Bicycle Performance Monitoring

“…Wireless sensor networks (WSNs) have many uses in tracking and monitoring [ 1 ], where they have attracted more attention in recent years. The applications of WSN can be classified into industrial, biomedical [ 2 ], environmental, military, agricultural [ 3 ], domestic, and commercial fields [ 4 ]. In the last few years, WSNs have received considerable attention in sports applications for monitoring athletes' performance during training sessions as well as in international competitions [ 5 – 8 ].…”