LOCALISATION IN WAREHOUSE MONITORING WIRELESS SENSOR NETWORKS
Xiaojie Wu, Zhu Qian, Wei Jian, Chao Hu, Qiang Zhang
Abstract
Xiaojie Wu, Zhu Qian, Wei Jian, Chao Hu, Qiang Zhang
Abstract
According the characteristic of wireless sensor net works (WSN), it can be used in warehouse monitoring. However, there are problems in localiza tion. Existing RSSI-based approaches rely on absolute RSSI values to estimate physical distances . However, RSSI has a lager variation because its fading, shadowing and reflections. By comparing RSSI values of the mobile beacon, we propose an improved RSSI-based approach which can achieve higher accuracy. In this paper, RSSI localization is introduced firstly. Second, we propose a localizati on algorithm based on the comparison of the mobile beacon node's RSSI. Third, we analyze the algorithm with simulation experiment. Finally, we draw conclusion
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According the characteristic of wireless sensor net works (WSN), it can be used in warehouse monitoring. However, there are problems in localiza tion. Existing RSSI-based approaches rely on absolute RSSI values to estimate physical distances . However, RSSI has a lager variation because its fading, shadowing and reflections. By comparing RSSI values of the mobile beacon, we propose an improved RSSI-based approach which can achieve higher accuracy. In this paper, RSSI localization is introduced firstly. Second, we propose a localizati on algorithm based on the comparison of the mobile beacon node's RSSI. Third, we analyze the algorithm with simulation experiment. Finally, we draw conclusion
Key concepts: Computer science, Wireless sensor network, Node (physics), Fading, Real-time computing, Wireless, Received signal strength indication, Computer network