Demo Abstract: Online QoS Adaptation using Fuzzy Control for Indoor Light Energy Harvesting in Wireless Sensor Networks
Overview & Synopsis
The bottleneck of long-term Wireless Sensor Network (WSN) applications is typically the energy. A promising solution is to enable each node to harvest energy directly in its environment, using individual energy harvesters. In energy harvesting WSNs, an important issue is the online adaptation of the node power consumption to avoid power failures while maintaining a good quality of service. This management is implemented on each node by an Energy Manager (EM). In this demonstration, Fuzzyman, a novel EM relying on fuzzy control theory, is applied to indoor light energy harvesting. The online adaptation of Fuzzyman is shown in terms of packet rate generation.
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hal.science)
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Document Information
| Document Title | Demo Abstract: Online QoS Adaptation using Fuzzy Control for Indoor Light Energy Harvesting in Wireless Sensor Networks |
|---|---|
| Author / Organization | Mickael Le Gentil, Fayçal Ait Aoudia, Matthieu Gautier, Olivier Berder |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2017 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-246340 |
| Original Source Link | Visit Source Page on hal.science » |