Data processing in semantic sensor web: A survey

Wireless Sensor Network (WSN) has set of wireless sensor nodes that are used to generate or sense the high volume of raw data from the environment, transmits the data to its respective sink node. The processing of raw data requires more amount of energy from sensor nodes to sink node or base station through single-hop or multi-hop communication over the nodes. In this context, sensor data need to be quality of data with semantic information in terms of semantic data integration and fusion and data processing, and so on. In order to problem of semantic data and managing raw data in WSN effectively, the Semantic Sensor Web (SSW) is taken into the wireless sensor networks. The SSW is promising technology for realizing the use of sensor data and semantic web that provide the semantic information to existing sensor networks by utilizing domain, spatial and temporal ontologies and other related semantic technology. This paper presents survey of data processing in SSW from various aspects. Besides, it presents the architecture of SSW and its advantages.