Evaluation Two Known Methods of Sensors Data Storage in Energy Parameter

Sensor networks are dense wired or wireless networks for collecting and disseminating environmental data. They consist of a large number of sensor nodes that are connected to each other Sensor networks generate immense amount of data which requires advanced analytical processing and interpretation by machines Processing and interpretation of huge amounts of heterogeneous sensor data impacts on the length of life time of sensor networks In this paper we evaluate two known methods, names Semantic Sensor Web (SSW) and Semantic Sensor Observation Service (SemSOS), that stores sensor data in semantically form; annotate sensor data with semantic metadata. In other words we compare two known systems with consumption rate of energy and we show that the more data transfers, less sensor network life time results

Keywords:

Sensor Networks , Semantic sensor web , SemSOS , SensorML , Sensordata