Authors: Jo Woon Chong; Ho Young Hwang; Dan Keun Sung; Yunyoung Nam
Addresses: Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA ' Department of Computer Engineering, Kwangwoon University, Seoul 139-701, Korea ' Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1, Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea ' Department of Computer Science and Engineering, Soonchunhyang University, Asan 336-745, Korea
Abstract: In this paper, we analyse the association procedure of IEEE 802.15.4 ZigBee devices and propose efficient association algorithms which associate ZigBee devices with a piconet coordinator (PNC) with changing CSMA/CA MAC parameters adaptively to the number of unassociated ZigBee devices. The proposed analysis model is based on Markov chain and order statistics concepts and the proposed association algorithms are based on a dynamic estimation concept. Simultaneous association requests from ZigBee devices delay total association time due to increased collisions among association request and data request commands. The proposed association algorithms adaptively allocate MAC parameter values based on dynamic estimation of the number of unassociated devices. Numerical results show that analytical results match well with simulation results and the proposed association algorithms shorten total association time compared to conventional algorithm. A ZigBee network with the proposed association algorithms accommodates approximately 1.5 times more users than that with the conventional one.
Keywords: wireless ad hoc networks; association time; autoregressive moving average; ARMA; extended Kalman filter; IEEE 802.15.4; Markov chain; order statistics; performance analysis; wireless networks; ZigBee networks; piconet coordinator; modelling.
International Journal of Ad Hoc and Ubiquitous Computing, 2014 Vol.16 No.1, pp.70 - 77
Received: 18 Feb 2013
Accepted: 02 Sep 2013
Published online: 09 Jun 2014 *