2013•Unpublished venueRequires access

LOCALISATION IN WAREHOUSE MONITORING WIRELESS SENSOR NETWORKS

Xiaojie Wu, Zhu Qian, Wei Jian, Chao Hu, Qiang Zhang

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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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What this paper is about

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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Available 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

Key concepts: Computer science, Wireless sensor network, Node (physics), Fading, Real-time computing, Wireless, Received signal strength indication, Computer network

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