A semantic solution for saving energy in wireless sensor networks

Wireless Sensor Networks (WSNs) have a very large growth in research in recent years. They are essentially adhoc networks, capable of processing, sensing and transmitting wireless information. These are networks that generate a large volume of raw data which possess natural heterogeneity. Besides, energy efficiency is an important performance measure, and one bit transmission over the network can consume as much energy as running thousands of instructions. In order to share information between different networks and decrease the amount of data sent, sensor data need to be enriched with semantic information. Trying to solve this problem, will be presented in this paper an approach to improve the power consumption in WSNs, based on a semantic solution compound by a middleware an ontology. This middleware is able to deal with the heterogeneity of data and applications, giving a semantics formal and unambiguous for data. The results showed that our approach is valid and achieve a satisfactory energy saving, with more than 30% savings between the best and worst case.