In the Trusted Semantic Sensor Web project we shall investigate trust in a distributed network of heterogeneous sensors and develop a prototype for simple trust calculations in a specific scenario. For this effort, we will collect archive and real-time weather data from open sources such as BuckeyeTraffic and MesoWest and store in a database. Then we will develop and adapt Semantic Sensor Web core infrastructure (SSW) that will enable the calculation and evaluation of reputation-based trust. SSW core infrastructure involves semantic annotation of SWE languages, SensorML, and Observations & Measurements. The design of ontologies and rules will be necessary to represent and reason over sensor data. This would involve a temporal ontology, geospatial ontology, sensor ontology, and weather ontology to represent the domain. After developing the core infrastructure we will investigate various trust models and algorithms for sensors, communication channels, and multi-layer networks. This will lead to the development of an ontological model of trust in order to integrate and reason trust within a semantic framework. This trust ontology will facilitate the design and of an innovative framework to characterize the trustworthiness of individual nodes in a wireless sensor network which enables the detection of rogue nodes (compromised nodes as well as misbehaving nodes). In addition, we will research methodologies for enabling trusted querying by filtering out untrustworthy sensor nodes and data and returning the most-trusted aggregate response. In order to demonstrate the feasibility of our approach, we will research and design a candidate scenario involving sensors and sensor data related to weather conditions and will develop a proof-of-concept demonstration exhibiting capabilities of this effort.