Stochastic models in queueing theory
Stochastic models in queueing theory
Probability, stochastic processes, and queueing theory: the mathematics of computer performance modeling
Queueing networks and Markov chains: modeling and performance evaluation with computer science applications
Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit
IEEE/ACM Transactions on Networking (TON)
A Survey of Energy Efficient Network Protocols for Wireless Networks
Wireless Networks
A capacity analysis for the IEEE 802.11 MAC protocol
Wireless Networks
Performance of Carrier Sense Multiple Access with Collision Avoidance Protocols in Wireless LANs
Wireless Personal Communications: An International Journal
Simulation with Arena
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Analytical models for energy consumption in infrastructure WLAN STAs carrying TCP traffic
COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
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Energy efficiency is an important issue in wireless networks. We investigate the power management scheme in the IEEE 802.11 based infrastructure WLANs (wireless local area network) in order to find the optimal parameters that can achieve good energy efficiency without degrading other performances. With power management, an AP (Access Point) might temporarily buffer packets whose destination stations are in the Doze state. We focus our study on the behavior of the buffered packets and their impacts on the performance metrics. We model the power management scheme as an M/G/1 queue with bulk service and obtain the analytical results for the energy efficiency and the response time performance metrics, which are controlled by the listen interval. Our simulation results are in good agreement with the analysis. Based on the analytical model and simulation, we propose to select the largest listen interval with the satisfaction of the response time requirement.