Data collection in spatially separated areas using Wireless Sensor Networks

With the progression of computer networks extending boundaries and joining distant locations, Wireless Sensor Networks (WSN) emerge as the new frontier in developing opportunities to collect and process data from remote locations. This project focuses on spatially separated sensor networks. Areas such as hilly rural regions are less accessible by common people. In order to get information about the weather conditions of those regions, sensor nodes are deployed in grid manner rather than random pattern as it is difficult to estimate the coverage area by mobile nodes. Mobile nodes follow predefined pattern and gather the data, sensed by these sensors that are far away from each other. Data Mules(DM) follow a bus pattern visiting every region to send the query and collect data. In every spatially separated area, a CH (Cluster Head) is selected among the MNs (Mobile Node). SMITE (Stochastic Compressive Data Collection)protocol is used to forward the data to CH. Using this protocol, number of control packets and data packets are drastically reduced. DM forward the data to the base station that initiated the query. The modeling along with simulation results can be used for further analysis of DMs data delivery and speed when varied.