Embedded Based Energy Efficient Handling of Big Data Using Wireless Sensor Network

Abstract

The wireless sensor networks have each individual node of a network may store and deliver a massive amount of information at once or over time. In the future, massively connected, highly dynamic wireless sensor networks have such vehicle-2-vehicle communication scenarios may hold even greater information potential. This is mostly because of the increase in node complexity and data volumes will be a problem for traditional data aggregation strategies traffic-wise as well as energy efficiency. The existing system is continuously monitors the nodes status and gives information to the user. It does not have any monitoring or data storage system to save the information. This leads to the continuous energy consumption and data is not saved at the monitoring unit. This causes high power consumption and needs manual control over the system in industrial and army applications this leads to continuous waste of time and energy. To avoid this waste of time and energy consumption then we proposed the following system. In the proposed system, the big data is monitored by the server section by using ZIGBEE. The nodes communicate their sensor data to the server section through ZIGBEE which is a high power, effective communication system. This helps the server to receive data and handle large amount of data from different nodes. The collected big data is posted in web by using GPRS section and the big data handled and posted to the server.