Title :
A Mixed Localization Algorithm Based on RSSI and APIT with Fitness Analysis and Optimization
Author :
Chen, Bo ; Sun, Jun ; Xu, Wen Bo ; Xu, Jian
Author_Institution :
Sch. of IOT Eng., Jiangnan Univ., Wuxi, China
Abstract :
As a new information acquisition and processing technology, wireless sensor networks can achieve tasks with complex large-scale monitoring and tracking in wide range of applications, but the localization for node itself is the basis of most applications. APIT is a major localization algorithm of ranged free algorithms, but the algorithm has the problems of big localization errors and low coverage rate, it also has high dependence on the number of anchor nodes. In order to overcome these disadvantages, this paper propose a mixed localization algorithm based on RSSI and APIT with fitness analysis and optimization, According to the experiment and simulation, the new algorithm has smaller localization errors, higher coverage rate, and improves the overall stability of nodes´ localization.
Keywords :
optimisation; sensor placement; wireless sensor networks; APIT; RSSI; complex large-scale monitoring; fitness analysis; information acquisition technology; information processing technology; mixed localization algorithm; optimization; wireless sensor networks; Accuracy; Algorithm design and analysis; Distance measurement; Educational institutions; Optimization; Sun; Wireless sensor networks; approximate point-in triangulation test (APIT); fitness; localization; received signal strength indicator (RSSI); wireless sensor networks;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-2630-8
DOI :
10.1109/DCABES.2012.45