Ultra-Low Design-Effort, Energy-Efficient and Battery-Indifferent Sensor Node for the Green Internet of Things
Source: EU Funding & Tenders Portal
"The rapid technological improvement in the semiconductor industry has enabled smaller and smaller devices to pervade our everyday lives. The real challenge in reducing the size to facilitate a ubiquitous integration of smart functions in any “thing” is drastically reducing the power consumption that constrains the volume to the presence of bulky batteries. An electronic device that dramatically r
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ongoing |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | "The rapid technological improvement in the semiconductor industry has enabled smaller and smaller devices to pervade our everyday lives. The real challenge in reducing the size to facilitate a ubiquitous integration of smart functions in any “thing” is drastically reducing the power consumption that constrains the volume to the presence of bulky batteries. An electronic device that dramatically reduces its power consumption can be powered by an alternative ""green"" source of energy such as light or vibration enabling the vision of the “Internet of Things”. In this scenario, the proposed research activity is intended to substantially enhance the energy efficiency of an IoT sensor node by a synergetic approach targeting both multisource harvesters and the System-on-Chip (SoC) design. The latter one aims in a comprehensive approach in which the macroblocks of different nature are designed exploiting at most an automated (digital) design flow. On this basis, a dramatic human-design effort reduction and silicon area for the same operation is expected for any SoC by a factor in the range of 10x-100x. This implies a faster time-to-market and a reduced cost of energy-autonomous Wireless Sensor Nodes. Challenging problems to be addressed are performance (i.e., resolution, speed). The effectiveness of the proposed approach will be verified and validated on demonstrators of industrial interest. The project targets to be innovative, interdisciplinary, and intersectoral across academies, an EU-based semiconductor company, and partners from MS and TC mostly based in the ASEN." |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
