Semantic Data Gathering of Physical Entities in Semantic Sensor Networks Using Software Agents

Abstract

In a wireless sensor network, with numerous sensor nodes, a huge volume of data is produced. For the massive data generated by sensor networks to be understood by the machine, semantic web technologies such as ontology need to be applied. On the other hand, since the end users intend to access the high level physical entities’ information monitored by the sensor network, the applicability of sensor networks can be enhanced through proposing a strategy to extract the data based on entities instead of extracting the raw sensor data. Hence, this paper firstly presents a method for semantic and temporal modeling of physical entities monitored by a sensor network. Secondly, an appropriate strategy will be offered to collect and aggregate data on physical entities through software agents. The outcome of modeling and simulation through the proposed method is suggested desirable performance as compared to the previously presented strategies.

DOI: http://dx.doi.org/10.5755/j01.itc.47.2.16073