Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein...

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Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008

Transcript of Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein...

Page 1: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Design, Modeling, and Capacity Planning for Micro-Solar Power

Sensor Networks

Jay Taneja, Jaein Jeong, and David Culler

IPSN/SPOTS 2008 – 4/23/2008

Page 2: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Applications and Science

Zebras in the savanna

People tracking

Bird Nest Monitoring

However, publications report that scientific results have been mostly underwhelming.

Why?

Page 3: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

What Does It Mean To Be Systematic?

Need to develop models for planning of every subsystem

Must formalize application-driven constraints

Real science demands real engineering

If one thing fails – everything can fail

Page 4: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

HydroWatch: Water in Motion

Page 5: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

The Challenges

Capacity Planning for Microsolar

Mechanical Design - Weatherproof with Correctly Exposed Sensors

Incorporating off-the-shelf and custom-built pieces

Page 6: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Storage Charge-Discharge 72:1120:1240:11:1All Ideal Components 3:18 Hours of Sun Per Day 48:1Half Hour of Exposure Per Day

Components of a Solar Circuit

Regulator Efficiencies

E in : E out

66%

2%

60%

50%

Page 7: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Application LoadStarting point for capacity planning

Most time is spent sleeping (~20 uA) with short active periods (~20 mA)

Color

Device Average Current

Sensors 9 uA (550 uA at 1.67% DC)

Radio 0.206 mA (20.6 mA at 1% DC)

MCU 9.6 uA (2.4 mA at 0.4% DC)

Quiescent

15 uA

Total 0.24 mATotal Current

Page 8: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Energy Storage

Type Lead Acid

NiCad NiMH Li-ion Supercap

Operating Voltage Range

5.0-6.1V 0.8-1.35V 0.9-1.4V 3.0-4.2V 2.2-3.0V*

Volume Energy Density

67 Wh/L 102 Wh/L 282 Wh/L 389 Wh/L 5.73 Wh/L

Charge/Discharge Efficiency

70-92% 70-90% 66% 99.9% 97-98%

Charging Method

Trickle Trickle/Pulse

Trickle/Pulse

Pulse Pulse

Est. Lifetime (79.2

mWh/day)

98.5 days

33.3 days (2)

75.8 days (2)

35.4 days

3.8 days* estimated

Page 9: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Solar Panel

Cells in series and parallel

Important parametersIV and PV CurvesPhysical Dimensions

MPP: 3.11 Volts

Page 10: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Regulators

Regulators are “glue” matching primary components

50-70% efficiency for typical sensornet load range

Input regulatorRegulates voltage from solar panel to batteryCan be obviated by matching panel directly to storage

Output RegulatorRegulates mote voltageProvides stability for sensor readings

Model estimates that load requires 28 minutes of sunlight

Page 11: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Mechanical Considerations

Enclosure design is often application-driven

Sensor ExposureWaterproofingEase-of-DeploymentInternal Mechanicals

Temp / RH Sensor TSR, PAR Sensors

Page 12: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Network Architecture

Used Arch Rock Primer Pack for multi-hop network stack, database for stored readings, and web-based network health diagnosis

Page 13: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

The Urban Neighborhood

20 Nodes for 5 Days

Mounted on house, around trees, and on roof

Meant to emulate forest floor conditions

Important for systematic approach -- provided validation of model

Page 14: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Urban Neighborhood Energy Harvested

Every node received enough sunlight

Page 15: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Three Nodes, Three Solar Inputs

Page 16: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

The Forest Watershed19 Nodes for over a Month

Mounted on 4-ft stakes throughout the transsect

Page 17: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Forest Watershed Site

Page 18: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Forest Watershed Energy Harvested

Watershed

Most nodes struggle to

harvest sunlight

Page 19: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Three Nodes at the Watershed

Page 20: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Reflected Light

Though only minimally, a cloudy day helps a sun-starved node harvest solar energy.

Sunny

Overcast

Overcast

Sunny

Page 21: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Results and Conclusions

Open issues not captured in modelBattery sizing for days or for seasons?Solar spotting effectEnclosures with holes?

Systematic approach resulted in 97% collection of an unprecedented spatiotemporal data set

New view of watershed microclimates

Page 22: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Questions?

Page 23: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Outline

Microsolar Model

Sizing the Pieces

Network and Node Architecture

Deployment Results

Page 24: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Daily Solar Model

• Discharge: No incoming solar energy, battery discharging• Transition: Some incoming solar energy, battery still discharging• Recharge: Incoming solar energy for charging battery• Saturation: Incoming solar energy shunted, battery full

Page 25: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Application Load

Most time is spent sleeping (~20 uA) with short active periods (~20 mA)

Variation in hardware results in RMS currents from 0.25 mA-0.6 mA. Empirically measured 0.53 mA.

Device Average Current

Sensors 9 uA (550 uA for 5s in 5m)

Radio 0.206 mA (20.6 mA at 1% DC)

MCU 9.6 uA (2.4 mA at 0.4% DC)

Quiescent 15 uA

Total 0.2396 mA

Page 26: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Node Voltages

Page 27: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

HydroWatch Node

Page 28: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

A Tale of Two Deployments

Urban Neighborhood Deployment20 Nodes for 5 DaysMounted on house, around trees, and on roof to emulate conditions on forest floorProvided validation of model

Forest Watershed Deployment19 Nodes for over 1 MonthMounted throughout forest on 4-ft stakesRainy season

Page 29: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Network Diagram

Page 30: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Conclusions and Future Work

Good Engineering Needed to Undertake Good Science

Microsolar has subtle differences from mesosolar

Enclosure design requires careful engineering

Experimenting with flexible panels and application duty cycling

Page 31: Design, Modeling, and Capacity Planning for Micro-Solar Power Sensor Networks Jay Taneja, Jaein Jeong, and David Culler IPSN/SPOTS 2008 – 4/23/2008.

Solar Voltages

Solar energy is available