This paper attempts to improve the localization accuracy under the farmland environment. The accuracy of the localization algorithms based on received signal strength indicator (RSSI) hinges on the working environment. However, there are many disturbances during the wireless signal propagation in farmland wireless sensor network (WSN), such as fading, shielding, reflection and scattering. The impacts of these disturbances vary with the plant growth. Considering these, the author adopted an improved RSSI-based localization method, which divides the target area into multiple small triangles and let each node decides its local triangle. Then, a global path loss exponent was calculated for the entire localization area, and local exponents were also computed for each small triangle. Through example verification, the proposed algorithm was proved to have good localization accuracy and good adaptability to the time-varying environment in farmland. The research findings provide a reference for location estimation in large-scale farmland and real-time channel modeling.
farmland wireless sensor network (WSN), localization methods, received signal strength indicator (RSSI), range based localization, path loss exponent
This work was financially supported by Beijing Natural Science Foundation (4172024), Natural Science Foundation of China (61871041, 61571051) and Opening Foundation of Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture (2017AIOT-08).
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