Research On Mobile Wireless Sensor Network Localization Technology Based On Monte Carlo Method

In recent years, under the background of "smart city", wireless sensor networks (WSN), which has powerful capability of information collecting, processing, and transmitting is getting wide spread attention. As a smart multiple hops self-organization network, WSN is composed of abundant sensor nodes. The nodes which are placed in the examination area transmit the message to users by the way of perceiving, collecting and processing the information synergistically. Wireless sensor networks have a wide range of applications, such as military reconnaissance, medical treatment and public health, disaster relief, environmental monitoring and intelligent home network, etc.The sensor nodes are deployed randomly, which makes it impossible for every node to get their position information. Therefore, localization information plays a vital role in networks. However, most research is only limited to static networks. As far as the mobile wireless sensor networks concerned, the study is not only insufficient but unsatisfactory. Hence, the localization research in mobile WSN is pressing.The paper firstly presents the architecture and key technology of wireless sensor networks, and then introduces the localization algorithm both in static WSN and mobile WSN, including range-based algorithm, range-free algorithm and Monte Carlo method.On the foundation of Monte Carlo method, we proposed a new algorithm, Range and Centroid Based Monte Carlo Localization(RCBMCL). The algorithm of RCBMCL combines RSSI, RCBMCL and Monte Carlo Localization together to optimize the anchor box, and then make sampling area more accurate. The simulation results show that compared with the classical Monte Carlo Localization, the new algorithm has a higher positioning accuracy.