TY - GEN
T1 - Network formation games for the link selection of cooperative localization in wireless networks
AU - Zhao, Zijun
AU - Zhang, Rongqing
AU - Cheng, Xiang
AU - Yang, Liuqing
AU - Jiao, Bingli
PY - 2014
Y1 - 2014
N2 - Recently, localization has become an indispensable technique for wireless applications. In view of the limitation of global position system (GPS) in certain environments, alternative approaches are in demand. In this paper, we consider a cooperative localization approach named sum-product algorithm over a wireless network (SPAWN). Although SPAWN theoretically facilitates cooperative localization, it has several practical limitations. Specifically, SPAWN results in high computational complexity and increased network traffic. The main complexity of SPAWN lies in the selection of agents/anchors involved in the cooperative localization. To this end, we formulate the agent/anchor selection problem into a network formation game. Together with a practical limit on the number of agents/anchors used for cooperative localization, our proposed approach can markedly reduce the computational complexity and the resultant network traffic. Simulations show that these advantages come with a slight degradation in the localization mean squared error (MSE) performance.
AB - Recently, localization has become an indispensable technique for wireless applications. In view of the limitation of global position system (GPS) in certain environments, alternative approaches are in demand. In this paper, we consider a cooperative localization approach named sum-product algorithm over a wireless network (SPAWN). Although SPAWN theoretically facilitates cooperative localization, it has several practical limitations. Specifically, SPAWN results in high computational complexity and increased network traffic. The main complexity of SPAWN lies in the selection of agents/anchors involved in the cooperative localization. To this end, we formulate the agent/anchor selection problem into a network formation game. Together with a practical limit on the number of agents/anchors used for cooperative localization, our proposed approach can markedly reduce the computational complexity and the resultant network traffic. Simulations show that these advantages come with a slight degradation in the localization mean squared error (MSE) performance.
UR - http://www.scopus.com/inward/record.url?scp=84906996555&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906996555&partnerID=8YFLogxK
U2 - 10.1109/ICC.2014.6884043
DO - 10.1109/ICC.2014.6884043
M3 - Conference contribution
AN - SCOPUS:84906996555
SN - 9781479920037
T3 - 2014 IEEE International Conference on Communications, ICC 2014
SP - 4577
EP - 4582
BT - 2014 IEEE International Conference on Communications, ICC 2014
PB - IEEE Computer Society
T2 - 2014 1st IEEE International Conference on Communications, ICC 2014
Y2 - 10 June 2014 through 14 June 2014
ER -