Energy harvesting embedded wireless sensor system for building environment applications

For many wireless sensor networks applications, indoor light energy is the only ambient energy source commonly available. Many advantages and constraints co-exist in this technology. However, relatively few indoor light powered harvesters have been presented and much research remains to be carried out on a variety of related design considerations and trade-offs. This work presents a solution using the Tyndall mote and an indoor light powered wireless sensor node. It analyses design considerations on several issues such as indoor light characteristics, solar panel component choice, maximum power point tracking, energy storage elements and the trade-offs and choices between them.

Statistical method of modeling and optimization for wireless sensor nodes with different interconnect technologies and substrates

A comparison study was carried out between a wireless sensor node with a bare die flip-chip mounted and its reference board with a BGA packaged transceiver chip. The main focus is the return loss (S parameter S11) at the antenna connector, which was highly depended on the impedance mismatch. Modeling including the different interconnect technologies, substrate properties and passive components, was performed to simulate the system in Ansoft Designer software. Statistical methods, such as the use of standard derivation and regression, were applied to the RF performance analysis, to see the impacts of the different parameters on the return loss. Extreme value search, following on the previous analysis, can provide the parameters' values for the minimum return loss. Measurements fit the analysis and simulation well and showed a great improvement of the return loss from -5dB to -25dB for the target wireless sensor node.

Design and implementation of the embedded capacitance layers for decoupling of wireless sensor nodes

In this paper, the embedded capacitance material (ECM) is fabricated between the power and ground layers of the wireless sensor nodes, forming an integrated capacitance to replace the large amount of decoupling capacitors on the board. The ECM material, whose dielectric constant is 16, has the same size of the wireless sensor nodes of 3cm*3cm, with a thickness of only 14μm. Though the capacitance of a single ECM layer being only around 8nF, there are two reasons the ECM layers can still replace the high frequency decoupling capacitors (100nF in our case) on the board. The first reason is: the parasitic inductance of the ECM layer is much lower than the surface mount capacitors'. A smaller capacitance value of the ECM layer could achieve the same resonant frequency of the surface mount decoupling capacitors. Simulation and measurement fit this assumption well. The second reason is: more than one layer of ECM material are utilized during the design step to get a parallel connection of the several ECM capacitance layers, finally leading to a larger value of the capacitance and smaller value of parasitic. Characterization of the ECM is carried out by the LCR meter. To evaluate the behaviors of the ECM layer, time and frequency domain measurements are performed on the power-bus decoupling of the wireless sensor nodes. Comparison with the measurements of bare PCB board and decoupling capacitors solution are provided to show the improvement of the ECM layer. Measurements show that the implementation of the ECM layer can not only save the space of the surface mount decoupling capacitors, but also provide better power-bus decoupling to the nodes.

Hybrid energy storage for energy harvesting powered wireless sensor networks

Science Foundation Ireland (CSET - Centre for Science, Engineering and Technology, grant 07/CE/I1147); Scientific Foundation Ireland (ITOBO (398-CRP))

Preclinical atherosclerosis in rheumatoid arthritis

Introduction: There is accumulating evidence of an increased risk of cardiovascular morbidity and mortality in rheumatoid arthritis patients. A combination of both traditional cardiovascular risks and rheumatoid specific factors appear to be responsible for driving this phenomenon. Rheumatoid arthritis has been an orphan of cardiologists in the past and rheumatologists themselves are not good at CVD screening. Identifying the extent of preclinical atherosclerosis in RA patients will help us to appreciate the magnitude of this serious problem in an Irish population. Methods: We undertook a cross-sectional study of 63 RA patients and 48 OA controls and compared the 2 groups with respect to 1) traditional CV risks factors, 2) serum biomarkers of inflammation, including CRP, TNFα, IL6 and PAI-1, 3) carotid intima-media thickness (cIMT), carotid plaque and ankle-brachial index (ABI) as markers of pre-clinical atherosclerosis, 4) biochemical and ultrasonic measures of endothelial dysfunction and 5) serum and echocardiographic measures of diastolic dysfunction. Within the RA group, we also investigated for associations between markers of inflammation, subclinical atherosclerosis and diastolic dysfunction. Results: Prevalence of traditional CV risks was similar in the RA and OA groups. A number of biomarkers of inflammation were significantly higher in the RA group: CRP, fibrinogen, IL- 2, -4, -6, TNFα. PAI-1, a marker of thrombosis, correlated with disease activity and subclinical atherosclerosis in RA patients. With regard to subclinical atherosclerosis measures, RA patients had a significantly lower ABI than OA patients. Carotid plaque and cIMT readings were similar in RA and OA patients. Assessment of endothelial function revealed that RA patients had significantly higher concentrations of adhesion molecules, in particular sero-positive RA patients and RA smokers. Adhesion molecule concentrations were associated with markers of diastolic dysfunction in RA. Urine PCR, another marker of endothelial dysfunction also correlated with diastolic dysfunction in RA. Assessment of endothelial function with flow mediated dilatation (FMD) found no difference between the RA and OA groups. Disease activity scores in RA patients were associated with endothelial dysfunction, as assessed by FMD. Conclusions: We did not find significant differences in measures of subclinical atherosclerosis, flow mediated dilatation or diastolic function between RA and OA patients. This is most likely in part due to the fact that there is increasing evidence that OA has an inflammatory component to its pathogenesis and is associated with metabolic syndrome and increased CV risk. We reported a significant association between urinary PCR and measures of diastolic dysfunction. Urinary PCR may be a useful screening tool for diastolic dysfunction in RA. The association between RA disease activity and measures of vascular function supports the theory that the excess cardiovascular burden in RA is linked to uncontrolled inflammation.