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Graph Neuron based approach to smart roads solutions using wireless sensor networks

The ability for the network to effectively differentiate between event and non-event is instrumental in the classification process. Graph Neuron employs an associative memory, network-centric technique that provides for instantaneous recall/recognizing of patterns and high levels of scalability. Implementations of Graph Neuron (GN) for the purposes of event detection in wireless sensor networks (WSN) used in transportation systems has not thoroughly been explored. This paper aims to discuss the possible implementations of the GN algorithm in a WSN for a road safety traffic support system being deployed at black-spots with a high likelihood of motor accidents.