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This publication considers the use of a variety of additive manufacturing techniques in the development of wireless modules and sensors. The opportunities and advantages of these manufacturing techniques are explored from an application point of view. We discuss first the origami (4D-printed) structures which take advantage of the ability to alter the shape of the inkjet-printed conductive traces on the paper substrate to produce a reconfigurable behavior. Next, focus is shifted towards the use of additive manufacturing technology to develop skin-like flexible electrical system for wireless sensing applications. We then discuss the development of a fully flexible energy autonomous body area network for autonomous sensing applications, the system is fabricated using 3D and inkjet printing techniques. Finally, an integration of inkjet and 3D printing for the realization of efficient mm-wave 3D interconnects up to 60GHz is discussed.

This publication provides an overview of additive manufacturing techniques including Inkjet, 3D and 4D printing methods. The strengths, opportunities and advantages of this array of manufacturing techniques are evaluated at different scales. We discuss first the applicability of additive manufacturing techniques at the device scale including the development of origami inspired tunable RF structures as well as the development of skin-like conformal, flexible systems for wireless/IoT, Smartag and smart city applications. We then discuss application at the package scale with on package printed antennas and functional packaging applications. Following this, there is a discussion of additive manufacturing techniques in applications at the die scale such as 3D printed interconnects. The paper is concluded with an outlook on future advancements at the component scale with the potential for fully printed passive components.

ZigBee technology is a representative standard of wireless communication technology with very low complexity, short distance, low rate, low power consumption and low cost. Internet of Things technology is the development trend. In order to achieve the effective integration of ZigBee communication technology and Internet of Things technology, improve the real-time transmission efficiency and form an exclusive communication system. This paper carries out wireless voice communication through the integration of ZigBee technology and Internet of Things technology, and puts forward the research topic of wireless voice communication. The ZigBee technology and the Internet of Things are organically integrated through the clustering algorithm, the shortcomings of the Internet of Things technology are solved by using the advantages of ZigBee, the relevant model is constructed, the designed relevant algorithms are grouped, and the efficiency of the fused algorithm is compared with the algorithm before the fusion. The experimental results show that in the packet delivery rate experiment, the delivery rate of the algorithm is very high, and the speed can reach 97% at 20m/s. At the same time, the experimental results also show that the control overhead of the AODV protocol is significantly greater than that of the AODVjr protocol, and the AODV protocol can save at least 16% of the cost compared with the AODVjr protocol. And when the speed increases to a certain extent, the difference in control overhead between the two will become larger and larger.

This paper describes a study on evaluation of mental stress using adaptive wavelet packets filtering techniques. For mental stress to become chronic or if it remains for longer periods of time, then it can cause or trigger diseases such as hypertension, diabetes, insomnia, depression etc. There is a need for objective assessment of stress and develop counter conditions to relieve the body from stress. We have designed a wireless wearable sensor platform that can be used to capture a vast range of biomedical signals including heart rate, skin conductance and respiration rates. As stress is a reactionary phenomenon and its response vary from person to person, so an adaptive wavelet filtering packet is proposed to minimize intra subjective variations. The filtering technique has two folded effects; it reduces the classification error and it provides tuning to adapt it to users requirements. The wearable sensor platform is based on ease of use and a subject can be monitored for days and changes in his/her physiological conditions are recorded. The main advantage in monitoring stress is that if required in needs than necessary actions can be taken to remove stressful conditions.

This publication provides an overview of additive manufacturing techniques including Inkjet, 3D and 4D printing methods. The strengths, opportunities and advantages of this array of manufacturing techniques are evaluated at different scales. We discuss first the applicability of additive manufacturing techniques at the device scale including the development of origami inspired tunable RF structures as well as the development of skin-like conformal, flexible systems for wireless/IoT, Smartag and smart city applications. We then discuss application at the package scale with on package printed antennas and functional packaging applications. Following this, there is a discussion of additive manufacturing techniques in applications at the die scale such as 3D printed interconnects. The paper is concluded with an outlook on future advancements at the component scale with the potential for fully printed passive components.

This publication considers the use of a variety of additive manufacturing techniques in the development of wireless modules and sensors. The opportunities and advantages of these manufacturing techniques are explored from an application point of view. We discuss first the origami (4D-printed) structures which take advantage of the ability to alter the shape of the inkjet-printed conductive traces on the paper substrate to produce a reconfigurable behavior. Next, focus is shifted towards the use of additive manufacturing technology to develop skin-like flexible electrical system for wireless sensing applications. We then discuss the development of a fully flexible energy autonomous body area network for autonomous sensing applications, the system is fabricated using 3D and inkjet printing techniques. Finally, an integration of inkjet and 3D printing for the realization of efficient mm-wave 3D interconnects up to 60GHz is discussed.