Mobile Node Localization Algorithm in Wireless Sensor Networks for Intelligent Transportation Systems

With the rapid development of economy, private cars grow at an exponential rate and cities become more and more crowded. The speed of expanding urban area and increased urban road significantly lags behind the economic development. So the introduction of advanced Intelligent Transportation Systems (ITS) may be a well solution, which can solve the urban transport problems fundamentally. As the emergence of Wireless Sensor Networks (WSN), the ITS has turned into a new epoch. But there are still a number of key technologies wanting urgent solution. If we can locate and track the cars accurately, the ITS what is build based on the WSN will become more achievable. In this paper, an improved Monte Carlo Localization box (MCB) algorithm was proposed for the location of mobile nodes in ITS, which is named Genetic MCB, and by mcl-simulation can get fairly satisfactory results.