Energy-Efficient Target Localization Based on a Prediction Model

In this paper, we propose an energy-efficient target localization scheme (TLS) based on a prediction model that can reveal the most likely zone the target will be in, and also a corresponding two-step communication protocol between base station (BS) and sensors. BS uses a query mechanism to determine which sensors should be used for detailed information according to a limited amount of data received from the sensors. This scheme reduces both energy consumption and communication bandwidth requirement, prolongs the lifetime of the wireless sensor networks. Simulation results indicate that it can achieve a high accuracy while saving a large amount of energy.

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