| EPSRC Reference: |
EP/E013678/1 |
| Title: |
WILDSENSING: A Hybrid Framework of Mobile and Sensor Nodes for Wildlife Monitoring |
| Principal Investigator: |
Trigoni, Dr N |
| Other Investigators: |
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| Department: |
Computer Science |
| Organisation: |
University of Oxford |
| Scheme: |
Standard Research |
| Starts: |
01 August 2007 |
Ends: |
31 January 2011 |
Value (£): |
294,079
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| EPSRC Research Topic Classifications: |
| Mobile Computing |
Networks & Distributed Systems |
| Population Ecology |
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Summary on Grant Application Form |
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Technological advances in Micro-Electro-Mechanical Systems (MEMS) are envisaged to allow the dense deployment of nodes with sensing, communication and processing capabilities in large areas for monitoring purposes. In this project we offer an alternative to plain multi hop data forwarding through the sensor network. Our approach suggests the forwarding of sensor data and its storage in selected nodes (storage nodes) from where the data will be collected later on by roaming mobile nodes. This new operational setting will leverage recent advances in mobile technology to relieve the sensor network from heavy multi-hop communication tasks. It will exploit the vast availability of a variety of different mobile devices (e.g., phones, pdas and domain specific wireless-equipped devices such as health monitors) and the potential for user or unmanned vehicle mobility. Mobile devices are equipped with one or more wireless network interfaces (Bluetooth, 802.11 etc), which makes them able to connect and interact with storage nodes in radio range, in an ad hoc manner. An application that would particularly benefit from continous monitoring using sensor nodes is wildlife monitoring. Zoologists would be able to detect social behavior patterns of wild animals (e.g. animal movement patterns), in combination with microclimate conditions, to protect the animals' habitat and ensure their well-being. Current approaches to wildlife monitoring and conservation often still rely on labour intensive techniques for making observations of animal behaviour or for tracking animal movements with established (but outmoded) VHF telemetry equipment. The typical mode of monitoring is to send staff to every single sensor node in the field, to collect sensor readings. The raw data is collected by staff, brought together in a lab, and processed in a centralized manner. The heavy reliance on field-staff for animal monitoring currently incurs considerable employment costs and overheads for ancillary equipment. The use of personnel working alone at night in forests also has significant health and safety implications, and the scrutiny of the Health and Safety Executive is likely to jeopardise many of these protocols in the future.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ox.ac.uk |