scholarly journals Indoor Location Estimation and Navigation of Mobile Robots Based on Wireless Sensor Network and Fuzzy Modeling

2008 ◽  
Vol 18 (2) ◽  
pp. 163-168 ◽  
Author(s):  
Hyun-Jong Kim ◽  
Guen-Taek Kang ◽  
Won-Chang Lee

Location estimation in Wireless Sensor Network (WSN) is mandatory to achieve high network efficiency. Identifying the positions of sensors is an uphill task as monitoring nodes are involved in estimation and localization. Clustered Positioning for Indoor Environment (CPIE) is proposed for estimating the position of the sensors using a Cluster Head (CH) based mechanism. The CH estimates the number of neighbor nodes in each floor of the indoor environment. It sends the requests to the cluster members and the positions are estimated based on the Received Signal Strength Indicators (RSSIs) from the members of the cluster. The performance of the proposed scheme is analyzed for both stable and mobile conditions by varying the number of floors. Experimental results show that the propounded scheme offers better network efficiency and reduces delay and localization error


2009 ◽  
Vol 16-19 ◽  
pp. 1133-1137
Author(s):  
Li Xin Guo ◽  
Qiu Ye Huang ◽  
Hua Long Xie ◽  
Jin Li Li ◽  
Zhao Wen Wang

The localization of mobile robots is one of important problems for navigation of mobile robots. The wireless sensor network, i.e., Cricket wireless localization technology, was used to obtain motive condition of mobile objects in this study. The information transmission between the Cricket localization system and mobile robot system was achieved for localization, navigation and control of the mobile object. The errors of localization sampling data of the Cricket localization system vary within 3cm in a static condition. The Cricket localization system can meet the navigation requirement of the mobile robots.


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