Efficient Energy Management in Energy Harvesting Wireless Sensor Networks: An Approach Based on Distributed Compressive Sensing
Lead Research Organisation:
University of Cambridge
Department Name: Computer Science and Technology
Abstract
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Organisations
People |
ORCID iD |
| Ian Wassell (Principal Investigator) |
Publications
Chen W
(2016)
Optimized Node Selection for Compressive Sleeping Wireless Sensor Networks
in IEEE Transactions on Vehicular Technology
Chen W
(2016)
Cost-Aware Activity Scheduling for Compressive Sleeping Wireless Sensor Networks
in IEEE Transactions on Signal Processing
Chen W
(2020)
On the energy self-sustainability of IoT via distributed compressed sensing
in China Communications
Chen W
(2016)
A Decentralized Bayesian Algorithm For Distributed Compressive Sensing in Networked Sensing Systems
in IEEE Transactions on Wireless Communications
| Description | Novel signal processing techniques to reduce power drain in battery powered wireless sensor network nodes. |
| Exploitation Route | Practical hardware implementation and real world trials. |
| Sectors | Aerospace, Defence and Marine,Agriculture, Food and Drink,Construction,Digital/Communication/Information Technologies (including Software),Electronics,Energy,Environment,Healthcare,Transport |