Movers and shakers

Abstract

Numerous energy harvesting wireless devices that will serve as building blocks for the Internet of Things (IoT) are currently under development. However, there is still only limited understanding of the properties of various energy sources and their impact on energy harvesting adaptive algorithms. Hence, we focus on characterizing the kinetic (motion) energy that can be harvested by a wireless node with an IoT form factor and on developing energy allocation algorithms for such nodes. In this paper, we describe methods for estimating harvested energy from acceleration traces. To characterize the energy availability associated with specific human activities (e.g., relaxing, walking, cycling), we analyze a motion dataset with over 40 participants. Based on acceleration measurements that we collected for over 200 hours, we study energy generation processes associated with day-long human routines. We also briefly summarize our experiments with moving objects. We develop energy allocation algorithms that take into account practical IoT node design considerations, and evaluate the algorithms using the collected measurements. Our observations provide insights into the design of motion energy harvesters, IoT nodes, and energy harvesting adaptive algorithms.

Feasibility and accuracy of hotword detection using vibration energy harvester

“…In this scenario, the VEH is only expected to pick up the ambient vibrations caused by user speech in the vicinity of the device. The 3-axis accelerometer in the data logger is used to capture the ambient vibrations in terms of accelerations, which are later converted into VEH power signals using a second order mass spring damping model whereby the linear damper represents the combined damping offered by electrical and mechanical domains [4]. A second order mass spring damping model can be represented by a transfer function (in the Laplace domain) as in Equation (1).…”

“…This model has been used in [4], [14] to estimate the amount of power harvested from human motion vibrations. The configuration values, m = 10 −3 kg, Z L = 10mm, k = 0.17, and b = 0.0005, have been optimised in these research for typical human activities.…”

A High‐Voltage Mechanical Energy Harvester Using Crank‐Shaft Mechanism for Applications in Toll Stations on Expressways

“…Kinetic energy harvesters have emerged as an achievable solution for solving energy needs without negatively impacting the environment in recent years. [23] With the increasing population, the trend of personal vehicles is also increasing, and as a result, traffic is increasing on roads day by day like the idea of zero-energy tunnels, [24] this research proposes the concept of energy harvesting at toll stations along expressways as an approach of converting the kinetic energy lost along highways into useable electrical energy. When a vehicle slows down at a toll station, kinetic energy is lost in the form of heat and other terms.…”

“…Kinetic energy harvesters have emerged as an achievable solution for solving energy needs without negatively impacting the environment in recent years. [ 23 ]…”

Blockchain-Based IoT Secured Energy-Efficient Collaborative Neighbor Discovery Protocol

“…Energy harvesting tags [11] need to reply on the power that can be harvested from sources such as indoor-light or kinetic energy, which provide 0.01-0.1 mW [12], [13], [14].…”