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Apr 12, 2023 1
COMMON-Sense NetWireless Sensor
Networks for Marginal Farming in India
Jacques Panchard PhD Private Defense
Advisor: Prof. Jean-Pierre Hubaux
Apr 12, 2023 2
COMMON-Sense Net Motivation: Help define and implement farming strategies for
poor farmers in a situation of water scarcity.
Outcome: decision support system based on environmental monitoring via sensor networks
Participatory design Data collected: soil moisture,
temperature, humidity Web-based data access with GIS
http://commonsense.epfl.ch
Apr 12, 2023 3
Outline of the presentation Field State-of-the-Art Project description Summary of Results Sensor-Tunes Conclusion
Apr 12, 2023 4
Environment and Development? There is a growing tension between economic
development and environmental sustainability. Millennium Development Goals and the
Environment: Ensure environmental sustainability Eradicate extreme poverty and hunger Reduce child mortality
Enhanced environmental monitoring: Explore Environment-to-Person Information Systems. New technological window: wireless sensor networks
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 5
Wireless Sensor Network
Apr 12, 2023 6
ICT4D ICT4D: Information and Communication Technologies for
Development
ICT as an enabler for development [Heeks 2002, 2008], [Walsham 2001], [Negroponte 1998] Empowerment Fight against exclusion Prevention of corruption
Common pitfalls of ICT4D projects [Heeks 2002, 2008] Design/actuality gaps Sustainability Scalability
Design guidelines [Surana et al. 2008], [Heeks 2002, 2008] Use Hybrids Optimization of existing systems Financial self-sufficiency Operational self-sufficiency
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 7
Test-Case: India
India is a country with two faces Extreme Poverty Cutting Edge Technology and Excellent
higher education system
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 8
India Agriculture Agriculture in India : 67% of employment
Small land-holding: More than 80% farms are less than 4 ha 39% farms are less than 1 ha (Karnataka)
Green revolution: from subsistence to market agriculture
Difficulties for small farmers: Cannot invest in intensive agriculture practices Institutional crisis: From collectively managed infrastructure to
individual management Early impacts of climate change Semi-arid areas characterized by low-rain fall and high climatic
variability
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 9
WSN Projects in Developing Countries
Arsenic detection in Bangladesh: Bangladesh University of Engineering, UCLA, MIT
SenSlide: Landslide detection in India University of Colorado, Boulder, IIT Mumbai, Microsoft
Research
Water-quality management in Malawi Royal Institute of Technology, Stockholm
Flood detection in Honduras MIT
Road Quality Monitoring in Sri Lanka University of Colombo, Sri Lanka
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 10
WSN Projects in Developing Countries
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Arsenic detection
Landslide prediction
Water quality mgt
Flood detection
Road Monitoring
Location Bangladesh India Malawi Honduras Sri Lanka
Status Full deployment
Simulation, laboratory
LaboratoryPreliminary deployment
Laboratory
Architecture3-Tier Multi-cluster WSN
2-Tier Multi-cluster WSN Multi-hop WSN
2-Tier Multi-cluster WSN
Delay-Tolerant Network with Data Mules
Size48 sensors
3 APs65 (deployed)600 (projected)
4 (projected) Unknown Unknown
Apr 12, 2023 11
WSN Projects in Developing Countries
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Arsenic detection
Landslide prediction
Water quality
mgt
Flood detection
Road Monitoring
Platform Unknown TelosB SPOT Proprietary Proprietary
Radio range
< 100m 30 – 40m 200-300m
8 km (cluster)
25 km (inter-cluster)
30 – 40m
Data
Soil moistureTemperature
pHNitrates
Rock strainspH
RedoxTurbidity
Water pressure
Acceleration
Energy Solar panel Battery Solar panel Solar panel Car battery
Apr 12, 2023 12
System Description
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 13
COMMON-Sense Net
IISc
CEDT Prof. Jamadagni
EPFL/SDC Cooperation Fund
EPFL
SDC
HYDRAM Prof. Mermoud
MICSCluster 2
ChennakeshavaTrust (NGO) S. Rao
LCA Prof. Hubaux, J. Panchard
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 14
Chennakeshavapura
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 15
Test-beds
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 16
Platform selection: mica2 motes
• Crossbow Technology IncCrossbow Technology Inc• Atmel ATMega128 processorAtmel ATMega128 processor• Chipcon CC1000 radio (915 MHz)Chipcon CC1000 radio (915 MHz)• Runs tinyOSRuns tinyOS
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 17
Platform Choice: TinyNode
• ShockfishShockfish• MSP 430 processorMSP 430 processor• XEMICS 1205 radio (868MHz)XEMICS 1205 radio (868MHz)• Runs tinyOSRuns tinyOS
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Tinynode has: Better useful radio range : more than 500 m was achieved at
15 dBm In theory longer lifetime (tests on-going)
Apr 12, 2023 18
Lessons Learned
• Environmental monitoring is useful for small farmers (User survey 2004)
• Impossibility to identify precise use cases for marginal farmers at this point
• Specialists are needed to deploy and maintain the network
• Relationship with farmers : estrangement towards technology
Consequence:• Necessity to develop tools to put wireless sensors in the
hands of non-specialists• Target scientists rather than farmers. • Find precise use cases, design experiments, carry them
out in a controlled environment
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 19
Survey of agriculture scientists
Qualitative and quantitative 20 participants: Indian agriculture
scientists Briefing meeting 2 weeks
Logging of web application queries Scenario-based detailed questionnaire
Debriefing interviews
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 20
Environmental Data for marginal agriculture
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Rain Fall16%
Soil Type17%
Temperature22%
Soil Moisture
29%
Humidity16%
Spatial variability: High: soil moisture Low: temperature,
rain-fall, atm. pressure
Mixed: Soil physics Time variability:
No consensus Day is lower limit
Apr 12, 2023 21
Debriefing Meetings Usefulness
General agreement Gap between discourse and behavior Debriefing allows optimism
Usability Use cases Space/time variability still an open question
Usage Disinterest? Computer literacy issues No one-size-fits-all scenario
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 22
New method for agriculture scientists Based on data collected by the test-beds 3 use cases and potential customers found Experiments could take place in 2009 (S. Rao)
Entomology Explore links between soil moisture recent
history and emergence of white grub and red hairy caterpillar
Crop physiology Asses water efficiency of different crops
Drip irrigation Assess efficiency of underground
drip irrigation
FieldField State of the ArtState of the Art CSNCSN ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 23
Sensor-Tune
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 24
Deployment Technical Issues
• Challenging physical environment• Connectivity depends on fluctuating radio
channel• Network topology is highly unpredictable• Difficulty to know link-quality over time
• Ergonomic problem• LCD displays are ill-adapted to outdoor
conditions• Wireless sensors have very limited interfacing
capabilities• Task at hand requires attention and
disponibility
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 25
An Alternative: Sonification• Hearing is a passive sense
• Does not require specific attention
• Happens continuously in the background
• The human brain can analyze complex sounds
• Physical ability is not impaired by hearing
• Hands are free for the work at hand
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 26
Sensor-Tune
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 27
Use Cases
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Non-expert users
WSN deployment/maintenance staff
Live connectivity to the Base Station As deployment goes on Monitor radio link Monitor distance to one base station
Connectivity history over the last 24 hours Nodes with a PER below a threshold replay their history User can select and tag nodes
Apr 12, 2023 28
Parameters and Mapping• Monitor
• Packet delivery rate• Distance to the base station
• Model ideal state with a repetitive pleasant sound: • Music• Voice• Natural sound (bird songs)
• The noise metaphor: Degrade the sound when the quality drops.
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 29
Prototype
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 30
User experiment
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
• Performed indoor• Simple deployment task • Non-specialists• Comparison between audio and visual
• Indoor, audio interface performs as well as visual
• Audio advantages in a challenging environment (hands free, vision free), come at no performance price
Apr 12, 2023 31
Contributions Participatory design the first WSN toolkit
for resource-poor agriculture First reported WSN deployment in an
ICT4D project Identified precise applications with
agriculture scientists Developed a WSN interface targeted at
non-specialists, using sonification
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 32
Future Work
Extended laboratory deployments with identified scientific partners
Extensive tests of sonification interface in the field
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 33
PublicationsJournal J. Panchard, S. Rao, T. V. Prabhakar, J.-P. Hubaux, and H. S. Jamadagni. COMMONSense Net: A
Wireless Sensor Network for Resource-Poor Agriculture in the Semiarid Areas of Developing Countries. Information Technologies and International Development, 4(1):51-67, 2007.
Conference/Workshop J. Panchard, P. S. Rao, M. Sheshshayee, P. P. Papadimitratos, and J.-P. Hubaux. Wireless Sensor
Networking for Rain-fed Farming Decision Support. In ACM SIGCOMM Workshop on Networked Systems for Developing Regions, 2008.
Prabhakar T V , N V Chalapathi Rao, Sujay M S, J. Panchard, H S Jamadagni, A. Pittet, Sensor Network Deployment For Agronomical Data Gathering in Semi-Arid Regions, WISARD 2007
J. Panchard, S. Rao, T.V. Prabhakar, H.S. Jamadagni and J.-P. Hubaux, Improved Water Management for Resource Poor Farmers via Sensor Networks, ICTD06, Berkeley
J. Luo, J. Panchard, M. Piorkowski, M. Grossglauser and Jean-Pierre Hubaux, MobiRoute: Routing towards a Mobile Sink for Improving Lifetime in Sensor Networks, INSS2006
J. Panchard, A. Osterwalder, ICTs and Capacity Building through Apprenticeship and Participatory Methods, Applied to an ICT-based agricultural water management system, IFIP WG 9.4, Abuja 2005
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 34
Thank you.
Apr 12, 2023 35
System Description
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 36
System Description
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 37
Design Science and participative Method
3 Development
2 Suggestion
1 Awareness of Problem
4 Evaluation
5 Conclusion
Community meetings led
by a local faclitatorTranslation into
a technical language: local facilitator and
scientists
Multidisciplinary development
Participatory approach and
apprenticeshipDiscussion and refinement of the artifact. (back to 1)
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 38
Protocol Description (Live use case)
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
PDA MasterWireless Monitor Slave iWait Init
Start_Probing
Info_request(seq_num, g_info*)
…
Computeg_info(i,t)
if (g_info(i,t) < g_info*)Info_response(l_info, g_info)
Info(l_info, g_info*)Probing(l_info, g_info)
Delay D
INIT
ACTIVE
CLOSE
Info_request(seq_num, g_info*)
Update g_info*
Stop Stop_ProbingStop_Info
Apr 12, 2023 39
Clustering
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 40
Use Case 1: Entomology Description
Explore links between soil moisture recent history and emergence of white grub and red hairy caterpillar
Benefit for farmers Predict occurrences Buy pesticides accordingly
Methodology Milieu: Field Sensors: Soil moisture, temperature Number: 10 (?) Duration: 1 year Frequency: daily (?)
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 41
Use Case 2: crop physiology Description
Asses water efficiency of different crops Benefit for farmers
Appropriate crop selection Methodology
Milieu: Pots in the lab Sensors: Soil moisture Number: 100+ Duration: 80 days Frequency: as high as possible
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion
Apr 12, 2023 42
Use case 3 : Irrigation Description
BAIF applied research Assess efficiency of underground drip irrigation
Benefit for farmers Assess benefit/cost ratio
Methodology Milieu: Field Sensors: Soil moisture Number: 100+ Duration: ? Frequency: daily
FieldField State of the ArtState of the Art ContributionContribution ResultsResults Sensor-TuneSensor-Tune ConclusionConclusion