About COMMON-Sense Net

The COMMON-Sense Net system aims at designing and developing an integrated network of sensors for agricultural management in the rural semi-arid areas of developing countries.

Information and Communication Technologies (ICT) are today widely seen as a tremendous development enabler, the idea being that with the contact with the external world will come health, wealth and economic as well as political development. However, they are rarely mentioned as a development enabler in the area of water management, mainly because people tend to associate them merely with Internet and telephony, which seem of little relevance for water and crop management. We differ radically from this position.

On the contrary, we strongly suggest the idea that ICTs ought to be seriously taken into consideration, as they are ideally positioned to provide the necessary tools to better gather, assess, and disseminate data related to agriculture and water. Indeed, finding a way to collect and process relevant data in order to monitor water - and possibly other agricultural - data in a more efficient manner, starting at a local level and keeping scalability and replicability in mind, seems like both a challenge and a necessity.

WSNs are formed by a large number of resource-constrained and inexpensive nodes, which has an impact on protocol design and network scalability. Sensor networks have enabled a range of applications where the objective is to observe an environment and collect information about the observed phenomena or events. The figure below depicts a typical Wireless Sensor Network deployment.

WSN deployment

Fig. Typical WSN Deployment

In our project, the objective of WSN nodes is to monitor an environment and collect information on environmental parameters like Soil mositure, Rain fall, Ambient Temperature. Each node will be attached with several sensors and each sensor is progarmmed to transmit data to a field aggregation node. The field aggregation node collects these data and transmits to the Central server in CEDT via Data mule.