Abstract

Sensor localization is one of the critical issues in the wireless sensor networks. In addition, the localization accuracy of sensors is very important for many applications where sensors have to precisely know their positions. On the other hand, a large number of reference nodes for localization may not be practical due to high deployment cost and expensive energy consumption in the sensor network. In this paper, a novel localization algorithm based on Received Signal Strength Ratio (RSSR) is proposed. This algorithm firstly generates curves of received signal strength ratio, and then calculates the intersection to introduce a large number of virtual reference nodes, which significantly improve the localization precision. Then, we illustrate the curves of received signal strength ratio, analyze the theoretical error, and evaluate our algorithm. Our extensive simulation results demonstrate that the proposed RSSR achieves higher localization precision as compared with the other RSSI approaches. Furthermore, RSSR achieves high accuracy without reconstructing data set, which increases the flexibility in practical applications.

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