Conference Paper

RISN: An Efficient, Dynamically Tasked and Interoperable Sensor Network Overlay

Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
DOI: 10.1109/EUC.2010.40 Conference: Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on
Source: IEEE Xplore


Sensor network has given rise to a comprehensive view of various environments through their harnessed data. Usage of the data is, however, limited since the current sensor network paradigm promotes isolated networks that are statically tasked. In recent years, users have become mobile entities that require constant access to data for efficient processing. Under the current limitations of sensor networks, users would be restricted to using only a subset of the vast amount of data being collected, depending on the networks they are able to access. Through reliance on isolated networks, proliferation of sensor nodes can easily occur in any area that has high appeals to users. Furthermore, support for dynamic tasking of nodes and efficient processing of data is contrary to the general view of sensor networks as subject to severe resource constraints. Addressing the aforementioned challenges requires the deployment of a system that allows users to take full advantage of data collected in the area of interest to their tasks. In light of these observations, we introduce a hardware-overlay system designed to allow users to efficiently collect and utilize data from various heterogeneous sensor networks. The hardware-overlay takes advantage of FPGA devices and the mobile agent paradigm in order to efficiently collect and process data from cooperating networks. The computational and power efficiency of the system are herein demonstrated.

5 Reads
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper considers the development of wireless sensor networks (WSN) ontology for enhancing data interoperability. Today WSNs are characterized by very diverse non-standard software protocols and data formats. This diversity poses serious challenges to integration of large-scale WSN. Different WSNs are difficult to understand each other, so little data is sharing. Our approach is to introduce the notion of ontology as an explicit representation of WSN. Ontology development is considered to be a useful approach to the design and implementation of interoperable systems. We analyze the interoperability requirements in WSN in view of user's requirements and distinguish WSN interoperability levels. Finally we build the proposed ontology model using Protégé and check the consistency using Racer respectively. If each WSN uses the proposed ontology model, the sensor data will belong to the same class. Thus, WSN users can understand the data without any special field knowledge.
    International Journal of Digital Content Technology and its Applications 12/2012; 6(22):363-370. DOI:10.4156/jdcta.vol6.issue22.41

Similar Publications