Abstract To accommodate the proliferation of heterogeneous network models and protocols, the use of semantic technologies to enable an abstract treatment of networks is proposed. Network adapters are employed to lift network specific data into a semantic representation. Semantic reasoning integrates the disparate network models and protocols into a common data model by making intelligent inferences from low‐level network and device details. Automatic discovery of new devices, monitoring of device state, and invocation of device actions in a generic fashion that is agnostic of network types is enabled. A prototype system called SNoMAC is described that employs the proposed approach operating over UPnP, TR‐069, and heterogeneous sensors. These sensors are integrated by means of a sensor middleware named SIXTH that augments the capabilities of SNoMAC to allow for intelligent management and configuration of a wide variety of sensor devices. A major benefit of this approach is that the addition of new models, protocols, or sensor types merely involves the development of a new network adapter based on an ontology. Additionally, the semantic representation of the network and associated data allows for a variety of client interfaces to facilitate human input to the management and monitoring of the system.

We increasingly live in a world where sensors have become truly ubiquitous in nature. Many of these sensors are an integral part of devices such as smartphones, which contain sufficient sensors to allow for their use as Augmented Reality (AR) devices. This AR experience is limited by the precision and functionality of an individual device's sensors and the its capacity to process the sensor data into a useable form. This paper discuss the current work on a mobile version of the SIXTH middleware which allows for creation of Sensor Web enabled AR applications. This paper discusses current work on mobile SIXTH, which involves the creation of a sensor web between different Android and non-Android devices. This has led to several small demonstrators which are discussed in this work in progress paper. Future work on the project will be outline the aims of the project to allow for the integration of additional devices so as to explore new abilities such as leveraging additional proprieties of those devices.

With the increasing availability of sensors within smartphones and within the world at large, a question arises about how this sensor data can be leveraged by Augmented Reality (AR) devices. AR devices have traditionally been limited by the capability of a given device's unique set of sensors. Connecting sensors from multiple devices using a Sensor Web could address this problem. Through leveraging this SensorWeb existing AR environments could be improved and new scenarios made possible, with devices that previously could not have being used as part of an AR environment. This paper proposes the use of SIXTH: a middleware designed to generate a Sensor Web, which allows a device to leverage heterogeneous external sensors within its environment to help facilitate the creation of richer AR experiences. This paper will present a worst case scenario, in which the device chosen will be a see-through, Android-based Head Mounted Display that has no access to sensors. This device is transformed into an AR device through the creation of a Sensor Web allowing it to sense its environment facilitated through the use of SIXTH.