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Geoff V. Merrett

Researcher at University of Southampton

Publications -  215
Citations -  3712

Geoff V. Merrett is an academic researcher from University of Southampton. The author has contributed to research in topics: Wireless sensor network & Energy harvesting. The author has an hindex of 28, co-authored 203 publications receiving 2987 citations. Previous affiliations of Geoff V. Merrett include Newcastle University & Applied Science Private University.

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Hibernus: Sustaining Computation During Intermittent Supply for Energy-Harvesting Systems

TL;DR: A new approach, Hibernus, is proposed, which enables computation to be sustained during intermittent supply by reactively hibernating: saving system state only once, when power is about to be lost, and then sleeping until the supply recovers.
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Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics

TL;DR: The purpose of this special issue is to analyze the top concerns in IoT technologies that pertain to smart sensors for health care applications; particularly applications targeted at individualized tele-health interventions with the goal of enabling healthier ways of life.
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Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices

TL;DR: This paper proposes Hibernus++ to intelligently adapt the hibernate and restore thresholds in response to source dynamics and system load properties, which provides an average 16% reduction in energy consumption and an improvement of 17% in application execution time over state-of-the-art approaches.
Proceedings ArticleDOI

A survey of multi-source energy harvesting systems

TL;DR: This paper surveys the design of multi-source energy harvesting systems, including trade-offs affecting their efficiency, applicability, and ease of deployment, and identifies and comment upon the current and future research directions in this field.
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Accurate Supercapacitor Modeling for Energy Harvesting Wireless Sensor Nodes

TL;DR: It is shown that observations previously attributed to leakage are predominantly due to redistribution of charge inside the supercapacitor, and the development of a circuit-based model is confirmed, which accurately represents non-ideal behavior.