MAConf: Passive layer-2 detection mechanism for mobile wireless sensor networks

Wireless sensor networks (WSNs) are being widely used in sensing, collecting, and disseminating data for various applications in environmental, industrial, and military applications. In this paper we present MAConf, a layer-2 detection mechanism for mobile WSNs. We propose the use of radio channel analysis to predict the underlying MAC protocol and addressing scheme, facilitating interconnections among WSN while ensuring an energy-efficient detection strategy. By implementing the intelligence using a neural network, we show that a 99% hit rate can be achieved in a variety of scenarios.