Predator predictive Networks
Team leader: Riaan Wolhuter
Affiliation: Stellenbosch University, South Africa
Co-team leader Inria: Nathalie Mitton
Affiliation: Inria Lille
Inria’s associated team: FUN (Lille)
For more information
PREDNET proposes to investigate the most suitable topologies and subsequent deployment of a wireless sensor network for sparsely populated outlying rural and wilderness areas, for effective monitoring and protection of resources and ecosystems.
In particular, the PREDNET project focuses on two specific use cases:
- chacal behavior understanding and cattle surveillance;
- fight against rhinoceros pounchering.
To do so, PREDNET investigates deployment and self-deployment of nodes (Objective 1) and some scheduling algorithms that takes account of the energy available at each node at current time and of the one expected to be harvested in the following periods (Objective 2). The third goal is to develop experimental platforms, further implemented in real networks to test and validate hardware and software development.
The main goals of the PredNet project are:
- Design of compact, electronically reconfigurable antennas for frequency-hierarchical cluster networks specifically adapted to the rural target environment ;
- Design of energy-efficient- and harvesting routing protocols for data retrieval from low energy consumption sensors, while considering environmental and antenna characteristics ;
- Development of experimental platforms, further implemented in real networks to test and validate hardware and software development ;
- Investigation of smart mechanisms to enforce data resilience and network reliability.