Modeling the Effect of Orientation on Human-Powered Inertial Energy Harvesters

Merrett, Geoff V.; Huang, Hui; White, NM

doi:10.1109/jsen.2014.2346019

Cited by 19 publications

(10 citation statements)

References 20 publications

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“…Different from [16], Merrett et. al, [6] consider the effect on harvestable power of generator location (five locations on the body, such as: elbow, wrist, waist, knee and ankle), human activities and take into account the effect of generator orientation and its relation with the other parameters. Authors also propose 2-DOF (Degree of Free) generators in order to examine whether these 2-DOF generators do increase the output power of energy harvested as well as do improve a generator's tolerance to orientation variation and different activities.…”

Section: Human Motion and Related Workmentioning

confidence: 99%

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Energy Harvested IEEE802.15.4 Wireless Body Area Network

Nguyen¹,

Khan²,

Ngo³

2015

Proceedings of the 10th EAI International Conference on Body Area Networks

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With the increasing demand of wireless body area network (WBAN) for patient monitoring systems, it is necessary to develop efficient energy management systems to either prolong node battery replacement time or to develop batteryless WBAN nodes. In this paper, we introduce an energy harvesting WBAN architecture that combines the energy harvesting system and an adaptable duty cycle adjustment algorithm ABSD (Adaptive Beacon Order, Superframe Order and Duty cycle) to prolong a WBAN node battery lifetime. The paper presents an energy harvesting model to show the effectiveness of human body motion based energy harvester. The paper further analyses the performance of a multi-patient and energy harvested WBAN using our proposed adjustable duty algorithm known as ABSD. The paper also presents several initial simulation results.

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Section: Human Motion and Related Workmentioning

confidence: 99%

“…In recent year, the potential for human-powered energy harvesting has been gaining attention and considered as an effective approach for powering sensor nodes or devices [6]. In principal, human-powered energy harvesters or microgenerators will harvest energy from human body motions/activities or body heat.…”

Section: Introductionmentioning

confidence: 99%

Energy Harvested IEEE802.15.4 Wireless Body Area Network

Nguyen¹,

Khan²,

Ngo³

2015

Proceedings of the 10th EAI International Conference on Body Area Networks

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“…In principle, human-powered energy harvesters or micro generators will harvest energy from human body motions/ activities or body heat. The energy concentrations produced from these movements are distinct [5]. The applications of energy harvesters can be classified primarily according to their use whether it is medical purpose or non-medical purpose.…”

Section: Introductionmentioning

confidence: 99%

Adaptive PEH-QoS Aware Management Control Scheme Based on Peltier and Piezoelectric Hybrid Model for WBAN Applications

Dhillon*¹,

Chawla²

2019

IJITEE

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Energy harvesting in the medical field is a reliable and effective method to charge the body sensor nodes in Wireless Body Area Networks (WBANs) for medical applications. WBANs provides health monitoring with real time updates for patient’s record. In WBANs, the nodes are used to detect events, which give significant contribution to maintain the Quality of Service (QoS) demands in terms of delay in packet transmission and reception, throughput and packet loss during communication. However, harvesting energy from motion of human body with health is always a challenge for WBANs. This simply increases the need to apt a new hybrid approach of Peltier and Piezoelectric human energy harvesting model for WBANs application. In recent years, a lot of researches related to Piezoelectric and Peltier that are shown in this literature. This paper proposes a hybrid approach of Piezoelectric and Peltier sensors for a WBAN Application. Work involves energy harvesting from movements and temperature gradients (body to ambient). Moreover, to use both of energies at the same time needs effective algorithm which is possible with the optimized way proposed in this paper. Proposed work uses the approach to pass emergency data to neighboring nodes if neighboring node elected as forward node. Election of forward node is selected on the basis of threshold level (α). In WBAN systems criticalness of data depends upon the applications. There are some cases like heart attack, asthma attack, diabetic attack etc requires immediate attention. These cases are considered as critical in nature. As proposed work uses the concept of data forwarding even if the node has not the power to send data up to BNC. Using this concept node which needs to send critical/emergency packets with low battery condition is possible. Proposed approach enhances data delivery and reduces the packet drop

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“…The values obtained are in the range µW. Besides the systems with one degree of freedom, systems [5] that were taking into account the orientation of the force were also used. Results have not shown significantly increased amount of harvested energy.…”

Section: Introductionmentioning

confidence: 99%

Energetic self-regulation of eWALL system

Martinovic¹,

Budić²,

Šimunić³

2015

2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

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In the last few years, there has been intensive research in the field of human motion and environment energy harvesting. That kind of energy harvesting used for power supply self-regulation in eWALL system (e WALL for Active Long Living) would contribute to increased energy efficiency of the system. The paper will represent possible methods and ways of energy harvesting in eWALL system. Statistical evaluation of the harvested energy will be given. The paper will also consider other, possible undeveloped ways of energy harvesting in terms of the practical implementation of the system. These methods and statistical estimates may relate to eWALL system, but also to other systems such as e.g. smart homes. Energy accumulation can be achieved from user motion, differences in ambient temperature, vibrations, radio frequency radiation and other technologies that are available to eWALL users.I.

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Modeling the Effect of Orientation on Human-Powered Inertial Energy Harvesters

Cited by 19 publications

References 20 publications

Energy Harvested IEEE802.15.4 Wireless Body Area Network

Energy Harvested IEEE802.15.4 Wireless Body Area Network

Adaptive PEH-QoS Aware Management Control Scheme Based on Peltier and Piezoelectric Hybrid Model for WBAN Applications

Energetic self-regulation of eWALL system

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