TY - BOOK
T1 - Communication patterns in mean field models for wireless sensor networks
AU - Talebi, M.
AU - Groote, J.F.
AU - Linnartz, J.P.M.G.
PY - 2015
Y1 - 2015
N2 - Wireless sensor networks are usually composed of a large number of nodes, and with the increasing processing power and power consumption efficiency they are expected to run more complex protocols in the future. These pose problems in the field of verification and performance evaluation of wireless networks. In this paper, we tailor the mean-field theory as a modeling technique to analyze their behavior. We apply this method to the slotted ALOHA protocol, and establish results on the long term trends of the protocol within a very large network, specially regarding the stability of ALOHA-type protocols.
Keywords: Mean field approximation, Radio communication, Slotted ALOHA,
Stability, Markov chains
AB - Wireless sensor networks are usually composed of a large number of nodes, and with the increasing processing power and power consumption efficiency they are expected to run more complex protocols in the future. These pose problems in the field of verification and performance evaluation of wireless networks. In this paper, we tailor the mean-field theory as a modeling technique to analyze their behavior. We apply this method to the slotted ALOHA protocol, and establish results on the long term trends of the protocol within a very large network, specially regarding the stability of ALOHA-type protocols.
Keywords: Mean field approximation, Radio communication, Slotted ALOHA,
Stability, Markov chains
M3 - Report
T3 - arXiv.org
BT - Communication patterns in mean field models for wireless sensor networks
PB - arXiv.org
ER -