TY - GEN
T1 - A novel localization algorithm based on received signal strength ratio
AU - Kong, Qingru
AU - Yang, Xinyu
AU - Xie, Xiaoyang
PY - 2008
Y1 - 2008
N2 - Localization is one of the key technologies in wireless sensor networks, and accuracy is a significant criterion to evaluate the practical utility of localization algorithm. Synthetically considering cost and energy consumption, it can only be deployed in detection area with a small number of reference nodes. In this paper, a novel localization algorithm based on Received Signal Strength Ratio (RSSR) is proposed. This algorithm firstly generates curves of received signal strength ratio, and then calculates the intersection to introduce a large number of virtual reference nodes, which improve localization precision greatly. Then we explain the curves of received signal strength ratio, analyze the theoretical error, and evaluate our algorithm. Simulation results show that the localization precision of the proposed algorithm compared with the RSSI algorithm is improved greatly, and RSSR still has a relatively good accuracy without reconstructing data set, thus it is well flexible and practical for real applications.
AB - Localization is one of the key technologies in wireless sensor networks, and accuracy is a significant criterion to evaluate the practical utility of localization algorithm. Synthetically considering cost and energy consumption, it can only be deployed in detection area with a small number of reference nodes. In this paper, a novel localization algorithm based on Received Signal Strength Ratio (RSSR) is proposed. This algorithm firstly generates curves of received signal strength ratio, and then calculates the intersection to introduce a large number of virtual reference nodes, which improve localization precision greatly. Then we explain the curves of received signal strength ratio, analyze the theoretical error, and evaluate our algorithm. Simulation results show that the localization precision of the proposed algorithm compared with the RSSI algorithm is improved greatly, and RSSR still has a relatively good accuracy without reconstructing data set, thus it is well flexible and practical for real applications.
KW - Localization
KW - Localization accuracy
KW - Virtual reference nodes
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/58049118916
U2 - 10.1109/WiCom.2008.873
DO - 10.1109/WiCom.2008.873
M3 - 会议稿件
AN - SCOPUS:58049118916
SN - 9781424421084
T3 - 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
BT - 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
T2 - 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
Y2 - 12 October 2008 through 14 October 2008
ER -