Title :
Hexagon area localization algorithm for cognitive radio networks
Author :
Huifeng Wang ; Zhan Gao
Author_Institution :
Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
A range-free localization algorithm using hexagon area is proposed to balance the accuracy of the localization result with the complex technologies for the distance estimate. The algorithm´s name is HA (Hexagon Area) localization algorithm. According to the non-cooperative characteristic of PU (primary user) in CRNs (cognitive radio networks), HA does not require the cooperation between PU and SUs (secondary users). Seven SUs form a hexagon area. HA localization algorithm counts the area based on comparing RSS (received signal strength) values of SUs, and estimates the centroid of the area as the location of the PU HA performance analysis in terms of its localization error parameterized by distance between SUs presents at the end of this paper. Experiments demonstrate that the localization accuracy is enhanced a lot with HA as compared to other range-free localization algorithms.
Keywords :
cognitive radio; CRN; HA localization algorithm; PU HA performance analysis; PU noncooperative characteristic; RSS value; area centroid estimation; cognitive radio networks; distance estimation; hexagon area localization algorithm; localization accuracy; localization error parameterization; primary user; range-free localization algorithm; received signal strength value; secondary users; cognitive radio; non-cooperative localization; range-free localization;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526346