Open AccessJournal Article
A Localization Algorithm in Complex Environment for Wireless Sensor Networks
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TL;DR: The simulations in complex environment results show that the average localization error will be reduced to around a quarter and even to approximately half especially in the obstacle area compared to the centriod algorithm.
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Abstract: By analyzing the solutions of localization model and the environmental affects for RSSI(Received Signal Strength Indication),a localization algorithm based on RSSI practical measurement was provided.Beacon nodes are used to measure the signal loss which can be used to calculate the weights to prompt localization accuracy.The simulations in complex environment results show that the average localization error will be reduced to around a quarter and even to approximately half especially in the obstacle area compared to the centriod algorithm.
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Citations
Research on the Bounding-Inbox Localization Algorithm for Wireless Sensor Networks Based on RSSI
TL;DR: The bounding-inbox localization algorithm of wireless sensor networks based on RSSI is presented in this paper, which combines the merits of range-based and range-free localization methods.
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An improved RSSI localisation algorithm in coal tunnel based on beacon nodes
TL;DR: The simulation shows that the effect of improved RSSI localisation algorithm based on beacon nodes' ID number, coordinate information and hop counts broadcasting to network in DV-HOP can meet the requirements of underground person position.
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A Wireless Sensor Network Localization Method Based on Dynamic Path Loss Exponent
Gang Zhu Qiao,Jian Chao Zeng +1 more
TL;DR: A path loss exponent dynamic acquired based localization algorithm is proposed which can estimate the blind node position with the actual path Loss exponent, and can improve the adaptability to the environment of the RSSI location algorithm.