This paper presents a wideband, long-range RFID tag antenna design with platform tolerant features using characteristic mode analysis (CMA). The proposed design consists of a two-layer structure, that are separated by an air gap. The upper layer consists of T-match and dual loop-based meandered antenna optimized for achieving long read range characteristics in free space/low permittivity dielectrics. The second layer consists of multi-resonant strips printed on a grounded substrate carefully designed using CMA for producing multi-resonant modes in the required UHF RFID band. The multi-resonant strips help in achieving wide bandwidth and isolation between different environment surfaces. This tag antenna provides a wide bandwidth ranging from 900 – 940 MHz that covers both the US UHF RFID band (902 – 928 MHz) and the upper European UHF RFID band (915 – 921 MHz). Moreover, this design achieved a read range of 14.7 m in free space, 14 m on a metal plate, and 13 m on wood, and glass. Furthermore, the proposed antenna was also tested in harsh metal environments such as car number plates and cargo metallic containers. Therefore, the proposed tag can be used for tagging metallic containers, wood containers, and other harsh platforms for cargo management, Asset tracking, supply chain visibility, and Internet of Things (IoT) Applications.

A resistively loaded wideband slotted patch antenna with optimized performance on lower frequencies is proposed for ground-penetrating radar (GPR) applications. The proposed design is backed by an optimized reflector composed of a periodic array of square loop elements, which enhances the antennas gain and directivity. The antenna shows good radiation characteristics and ease of integration with the GPR systems. The proposed structure features a compact size and wide bandwidth covering from 0.6 to 4.6GHz. The peak gain of 7 dBi is achieved. The fabricated prototype of the antenna along with an integrated optimized reflective surface has overall dimensions of 18×22×5cm³. The measured results validate the antennas performance in both free space and sandy medium, which enlighten its use for GPR applications.

Biomedical sensors have revolutionized healthcare by offering advanced tools for real-time disease diagnosis, continuous monitoring, and effective treatment. These sensors encompass various technologies, including biosensors, nanotechnology-based sensors, flexible and wearable devices, and more, all of which have played a pivotal role in modernizing medical practices. This review delves into the evolution, types, and technological advancements, along with their broad applications in healthcare, such as in molecular informatics, genomics, proteomics, and personalized medicine. The primary objective of this review is to provide a comprehensive overview of the current landscape, highlighting the latest technological innovations, diverse applications, and potential future trends. The review seeks to demonstrate the critical role these sensors play in enhancing diagnostic accuracy, treatment efficacy, and overall patient care. This review methodically examines various biomedical sensor technologies, focusing on advancements such as microfabrication techniques, nanotechnology, and the development of biocompatible materials. The analysis also covers the miniaturization of sensors, their portability, and the integration of these devices with the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) to improve healthcare outcomes. These sensors are widely used in wearable and implantable devices for continuous monitoring of vital signs, disease diagnosis, and therapeutic interventions. Notable applications include diabetes management, cardiovascular monitoring, and cancer detection. Emerging trends are set to further enhance the capabilities and applications of these sensors. Despite challenges such as biocompatibility, data privacy, and regulatory hurdles, ongoing research and innovation will likely overcome these barriers, ensuring that biomedical sensors, improve patient outcomes, and facilitate more personalized medical interventions.