A novel wireless sensor networks multilateration positioning method based on quartic double-well bistable stochastic resonance technique

Abstract

In this research, a novel wireless positioning approach which combines the conventional multilateration method and the dynamic stochastic resonance (SR) system is proposed, and it can be easily used in the wireless sensor networks (WSN) node positioning. According to the fact that the wireless signal will attenuate through the wireless channel, which will lead to the degradation of received signal-to-noise ratio (SNR), the conventional quartic double-well bistable SR is introduced to improve the receiving SNR. In the theoretical analyses, it is certified that by choosing the appropriate SR noise and corresponding driving parameters, the SNR gain of the received signal can be obtained, and then the positioning accuracy of WSN will be enhanced. Both computer simulations and real application results show the advantage over the traditional multilateration poisoning method especially under low SNR circumstances.