| Self-localization technology of mobile wireless sensor networks nodes is one of the great hot issues in wireless sensor networks research at present. In mobile wireless sensor networks,the nodes can move, the blind nodes in the networks can get it's current and next position information by using some localization and predicting mechanisms.The localization accuracy of the existing self-localization algorithms of wireless sensor networks is relative lower,it's real-time also very poor,and the complexity of some algorithms is relative taller,it's error is great impacted by circumstances,so it is unsuitable for locating mobile nodes.Because of these issues,in my paper we begin to research self-localization technology of mobile wireless sensor networks nodes .In my paper,we start from the existing self-localization algorithms of wireless sensor networks nodes,analyzing and comparing the range-free localization algorithms at first,after in accordance with the deficiency of the existing range-free localization algorithms in localization accuracy,we present the RSSI-Centroid algorithm.Through the simulation,the result shows that the localization accuracy and stability of the algorithm in mobile networks is better than the Centroid algorithm and the DV-Hop algorithm.In the next we consider the mobility of the nodes,and introduce the idea of predicting position,we begin to research the predicting position algorithms ,after introducing and analyzing the typical existing predicting position algorithms, in accordance with the deficiency of the existing algorithms,we take some improvements,and present the EKF-PF and UKF-PF algorithms.Through the simulation,the result shows that the predicting error of the two algorithms are less than the existing predicting position algorithms.At last, in my paper we design a set of hardware platform of mobile wireless sensor networks, and verify the algorithm proposed in my paper on the hardware platform,supply basic data for further research. |
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