COMMON-Sense Net: Improved Water Management for Resource-Poor Farmers via Sensor Networks

Panchard, Jacques; Rao, Seshagiri; Prabhakar, T. V.; Jamadagni, H. S.; Hubaux, Jean-Pierre

doi:10.1109/ictd.2006.301833

Cited by 35 publications

(22 citation statements)

References 18 publications

(17 reference statements)

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“…The goal of the researchers for the system was portability and rapid deployment, focusing on a very different set of requirements than our system. Panchard [9] suggested a system for monitoring agricultural measurements in India. A prototype system ran for at least one year in an outdoor controlled environment, consisting of 10 nodes communicating via embedded Mica2 radios with selectable radio frequencies (exact frequency not specified in paper).…”

Section: Previous Workmentioning

confidence: 99%

Design of early warning flood detection systems for developing countries

Basha

Rus

2007

2007 International Conference on Information and Communication Technologies and Development

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Abstract-In developing countries, flooding due to natural disasters such as hurricanes and earthquakes results in massive loss of life and property. Warning communities of the incoming flood provides an effective solution to this by giving people sufficient time to evacuate and protect their property. However, the range of early warning system solutions introduces a tangle of conflicting requirements including cost and reliability, and creates several interesting problems from factors as diverse as technological, social, and political. The complexity of these systems and need for autonomy within the context of a developing country while remaining maintainable and accessible by nontechnical personnel provides a challenge not often solved within developed countries, much less the developing. After describing this problem, the paper discusses a proposed solution for the problem, initial experiments in implementing the solution, and lessons learned through that work.

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Section: Previous Workmentioning

confidence: 99%

Design of early warning flood detection systems for developing countries

Basha

Rus

2007

2007 International Conference on Information and Communication Technologies and Development

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“…COMMON-Sense Net [11] consists of a wireless network of ground-sensors for agricultural management in rural semiarid areas. Sensors periodically measure the soil water content and send it over multi-hop to a centralized processing unit, where data fusion is performed.…”

Section: A Outline Of Some Relevant Previous Workmentioning

confidence: 99%

“…Several relevant work on WSN systems supported by working prototypes are present in literature [4], [6]- [8] and in the scope of research projects [9]- [11]. However, none of them fulfills all requirements for large-scale and dense real-time monitoring [12].…”

Section: Introductionmentioning

confidence: 99%

EMMON: A WSN System Architecture for Large Scale and Dense Real-Time Embedded Monitoring

Tennina

Bouroche

Braga

et al. 2011

2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing

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Abstract-Wireless sensor networks (WSNs) have attracted growing interest in the last decade as an infrastructure to support a diversity of ubiquitous computing and cyber-physical systems. However, most research work has focused on protocols or on specific applications. As a result, there remains a clear lack of effective, feasible and usable system architectures that address both functional and non-functional requirements in an integrated fashion. In this paper, we outline the EMMON system architecture for large-scale, dense, real-time embedded monitoring. EMMON provides a hierarchical communication architecture together with integrated middleware and command and control software. It has been designed to use standard commercially-available technologies, while maintaining as much flexibility as possible to meet specific applications requirements. The EMMON architecture has been validated through extensive simulation and experimental evaluation, including a 300+ node test-bed, which is, to the best of our knowledge, the largest singlesite WSN test-bed in Europe to date.

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“…In India, many government, private and research institutes are implementing WSN for natural resources and agriculture monitoring applications, e.g. GramyaVikas: A distributed collaboration model for rural development planning (Adinarayana et al, 2009), COMMON-Sense Net: improved water management for resource-poor farmers via sensor network (Panchard et al, 2006;COMMON-Sense Net, 2011), etc. Sensor based services of Bhuvan for Land, Weather, Ocean and Disaster management (NRSC, 2011), environmental sensor based services of Ubiquitous Agriculture (uAgri C-DAC, 2011), mobile based agricultural advisory system mKRISHI (mKRISHI, 2011), etc. are few examples of the application of sensor technology for monitoring natural phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Service Oriented Architecture for Wireless Sensor Networks in Agriculture

Sawant

Adinarayana

Durbha

et al. 2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Rapid advances in Wireless Sensor Network (WSN) for agricultural applications has provided a platform for better decision making for crop planning and management, particularly in precision agriculture aspects. Due to the ever-increasing spread of WSNs there is a need for standards, i.e. a set of specifications and encodings to bring multiple sensor networks on common platform. Distributed sensor systems when brought together can facilitate better decision making in agricultural domain. The Open Geospatial Consortium (OGC) through Sensor Web Enablement (SWE) provides guidelines for semantic and syntactic standardization of sensor networks. In this work two distributed sensing systems (Agrisens and FieldServer) were selected to implement OGC SWE standards through a Service Oriented Architecture (SOA) approach. Online interoperable data processing was developed through SWE components such as Sensor Model Language (SensorML) and Sensor Observation Service (SOS). An integrated web client was developed to visualize the sensor observations and measurements that enables the retrieval of crop water resources availability and requirements in a systematic manner for both the sensing devices. Further, the client has also the ability to operate in an interoperable manner with any other OGC standardized WSN systems. The study of WSN systems has shown that there is need to augment the operations / processing capabilities of SOS in order to understand about collected sensor data and implement the modelling services. Also, the very low cost availability of WSN systems in future, it is possible to implement the OGC standardized SWE framework for agricultural applications with open source software tools.

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COMMON-Sense Net: Improved Water Management for Resource-Poor Farmers via Sensor Networks

Cited by 35 publications

References 18 publications

Design of early warning flood detection systems for developing countries

Design of early warning flood detection systems for developing countries

EMMON: A WSN System Architecture for Large Scale and Dense Real-Time Embedded Monitoring

Service Oriented Architecture for Wireless Sensor Networks in Agriculture

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