SIW antennas as hybrid energy harvesting and power management platforms for the internet of things

Abstract

A novel antenna-harvester co-design paradigm is presented for wireless nodes operating in an Internet of Things context. The strategy leads to compact and highly-integrated units, which are able to set up a reliable and energy-efficient wireless communication link, and to simultaneously harvest energy from up to three different sources, including thermal body energy, solar and artificial light. The core of the unit consists of a substrate-integrated-waveguide (SIW) antenna. Its surface serves as a platform for the flexible energy harvesting hardware, which also comprises the power management system. To demonstrate the approach, two different SIW cavity-backed slot antennas and a novel compact dual linearly polarized SIW antenna are presented. These topologies facilitate the integration of additional hardware without degrading performance. In the meantime, they enable comfortable integration into garments or unobtrusive embedding into floors or walls. Measurements on prototypes validate the integration procedure by verifying that the integrated hardware has a negligible influence on the performance of all discussed SIW antennas. Finally, measurements in four well-chosen indoor scenarios demonstrate that a hybrid energy-harvesting approach is necessary to obtain a more continuous flow and a higher amount of scavenged energy, leading to a higher system autonomy and/or reduced battery size.

Recent advances in materials and technologies for body-centric and IoT antenna systems

“…In a second step, the autonomy may be increased by directly positioning energy harvesters on the antenna plane [6], [18], [24], [25] and connected to the power management system. The DC wires must be kept away from the radiation edges of the antenna, in order not to modify the radiation pattern.…”

Research on the strategy of locating abnormal data in internet of things management platform based on improved modified particle swarm optimization convolutional neural network algorithm

“…Regarding the access characteristics of diverse professional devices, such as equipment side, customer side, and supply chain, the IOT management platform currently has insufficient device access flexibility management and heterogeneous device control [6]. In terms of lean and intelligent device operation and maintenance management, the IOT management platform has flaws such as inadequate monitoring of the entire link of devices and inadequate analysis and statistics of operation and alarm data, making it difficult to comprehend device operation status and deal with abnormal problems of devices in a timely manner [7]. Thus, the study of IOT management platform data analysis and processing by appropriate control algorithms [8] and autonomous decision making of anomalous nodes [9] has substantial practical applications and engineering value.…”

Dual-band ambient energy harvesting systems based on metamaterials for self-powered indoorwireless sensor nodes

“…Although achieving notable accomplishments, many earlier studies employ directional antennas [7][8][9][10][11][12][13]. For indoor environments, due to the presence of various obstacles, incident wave is scattered away and arrive at the rectenna from multiple directions.…”