3D Visualisation for Ubiquitous Deployments

The main objective of the Sensor Explorer project is to develop a generic end-to-end management and visualization platform for wireless sensor networks in order to enable practical pervasive deployments. It will offer cross-platform functionality and will seek breakthroughs in a number of fronts related to pervasive systems operations and sensor data visualisation. Working towards these objectives, a number of key research and technical challenges have to be addressed including:

  • Large-scale sensor data processing  ̶  Typical pervasive sensing deployments are characterized by the large number of communicating nodes entailing continuous collection and processing of large data volumes. A potential approach for alleviating this problem is to utilize parallel streaming architectures and advanced semaphores
  • Interactive WSN management̶  Practical pervasive system creation and operation is dependent on the availability of efficient tools for system simulation, deployment and monitoring. Sensor Explorer will provide such functionalities and will utilise novel HCI and GUI techniques for observing important network information such as health, coverage, throughput and topology
  • Multidimensional heterogeneous sensor data visualization  ̶Pervasive networks comprise mixed node types capturing scalar, vector or tensor data. Moreover, sensor data is bursty and unsynchronized, nodes are sparsely and irregularly distributed while network topology can be dynamic. Sensor explorer will address these challenges to enable visualization of multidimensional data by utilising novel rendering and synchronisation techniques

Sensor Explorer includes an advanced rendering module that generates multiple visual representations of network information to enable improved network management and debugging by providing information on node health, network connectivity structure, throughput, link quality, and power consumption statistics. Furthermore, diverse techniques are utilised for plotting and visualising collected sensor network data. A small subset of current graphical interface and visualisation techniques is illustrated in figures.


















 


3D model with sensor node locations and coverage. Different node types, such as gateways and cluster heads, are represented with different shapes while colour corresponds to measured scalar data (temperature).


Aggregate data plot for the selected cluster head shown in node list


WSN topology structure with colour representing measured data and link quality

 
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