For the application of wireless sensor networks, the perceptive information without location information is meaningless. With the popularity of mobile devices, the mobile node localization problem is attracting more and more researches. This paper, we proposed a localization algorithm. The proposed algorithm minimizes the range of sampling node by using the node's movement trajectory. This improves the efficiency of sampling and the positioning accuracy. Simulation results showed that our algorithm improves the positional accuracy.
The sensor location information is necessary for the application in wireless sensor network. It is useful to position the unknown node by studying the movement mode of anchor node in the network. This paper proposed a Monte Carlo based localization algorithm. Simulation results showed that the proposed algorithm decreases the node location error of prediction.
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