Everlasting sensor networks

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HAL Id: hal-00958130

https://hal.inria.fr/hal-00958130

Submitted on 13 Mar 2014

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Everlasting sensor networks

Laurent Clavier, Viktor Toldov, Román Igual, Nathalie Rolland, Rédha Kassi,

Christophe Lethien, Christophe Loyez, Alexandre Boe, Nathalie Mitton,

Thomas Vantroys

To cite this version:

Laurent Clavier, Viktor Toldov, Román Igual, Nathalie Rolland, Rédha Kassi, et al.. Everlasting sensor networks. L’énergie demain. Transition énergétique : recherches et ingénierie, May 2013, Paris, France. 2013. �hal-00958130�

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Everlasting sensor networks

Main contributors

Authors

Partners

Laurent CLAVIER

Viktor TOLDOV

Román IGUAL

Nathalie ROLLAND

Rédha KASSI

Christophe LETHIEN

Christophe LOYEZ

Alexandre BOE

Nathalie MITTON (Inria)

Thomas VANTROYS (LIFL)

…

laurent.clavier@telecom-lille1.eu

www.telecom-lille1.eu

www.ircica.univ-lille1.fr

M a y 2013 L'é ne rg ie d em ain . T ran sition é ne rg étiq ue : rech erche s et ing én ieri e

… to the network

• Large scale

• Different logical

topologies

• Complex

• Variable physical topology

Real-Time Energy Consumption Measurement

By component (Hardware) / By function (Software)

Within the team CSAM (Circuits,

Syst

es et Applications des Microondes) of IEMN (Institut d’Élect o i ue, de Mic o lect o i ue

et de Nanotechnologie) and within IRCICA (Institut de Recherche sur les Composants logiciels et

at iels pour l'Information et la

Communication

Ava c e - USR CNRS 3080) we develop a research on ultra low power sensor networks. Our goal is to minimize

the energy consumption so that the life duration of the network could be infinitely long. We develop studies including

nanotechnologies (energy harvesting, storage devices), RF front-ends design, energy management but also radio channel and

interference modeling and MAC layer optimization.

Conclusion

Our aim is to create an experimental environment where we can accurately evaluate the energy consumption

and optimize at the node level and at the network level the main factors of energy dissipation.

Energy Optimization: from the node…

• Power Management

• Energy Harvesting

• Renewable Energy

• Maximum Power Point Tracking

• Hybrid System:

Battery ↑ E ↓ P ↓ Cycles

Supercapacitor

↓ E ↑ P ↑ Cycles

3D Li-ion microbattery

ENERGY MANAGEMENT

Sensors

Intelligence

µP

Communication

RF

MEMORY

ENERGY MANAGEMENT

Sensor 1

(Temperature)

Sensor 2

(Acceleration)

Sensor N

…

TX / RX

Energy

Harvesting

MPPT

_Management

Power

Battery

Supercapacitor

Most significant factors for energy consumption

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