Performance modeling and evaluation of IEEE 802.11 IBSS power save mode

The IEEE 802.11 standard defines a power management algorithm for wireless LAN. In the power management for Independent Basic Service Set (IBSS), time is divided into Beacon Intervals (BIs) and each BI is divided into an Announcement Traffic Indication Message (ATIM) window and a data window. The stations that have successfully transmitted an ATIM frame within the ATIM window compete to transmit data frames in the rest of the BI. This paper analyzes the performance of the IEEE 802.11 Power Save Mode (PSM) in single hop ad hoc networks using a discrete-time Markov chain for a data frame transmission together with the corresponding ATIM frame transmission. The paper presents an analytical model to compute the throughput, average delay and power consumption in IEEE 802.11 IBSS in PSM under ideal channel and saturation conditions. The impact of network size on the throughput, delay and power consumption of the IEEE 802.11 DCF in Power Save Mode is also analyzed. This can be used to find an efficient scheme that can maximize the network throughput while saving power consumption for resource constrained ad hoc wireless networks. The analytical work is validated with simulation results obtained from Qualnet 5.0.1 network simulator.

[1]  Haitao Wu,et al.  Performance of reliable transport protocol over IEEE 802.11 wireless LAN: analysis and enhancement , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[2]  Vladimir M. Vishnevsky,et al.  1 LANs: Saturation Throughput in the Presence of Noise , 2002, NETWORKING.

[3]  Jie Zhang,et al.  Performance Analysis and Optimization of IEEE 802.11 DCF with Constant Contention Window , 2008, 2008 ISECS International Colloquium on Computing, Communication, Control, and Management.

[4]  V. Vitsas,et al.  Throughput and delay analysis of IEEE 802.11 protocol , 2002, Proceedings 3rd IEEE International Workshop on System-on-Chip for Real-Time Applications.

[5]  Xiaowen Chu,et al.  Performance Evaluation of IEEE 802.11 Infrastructure Mode with Intra-Cell UDP Traffic , 2007, 2007 Second International Conference on Communications and Networking in China.

[6]  Nitin H. Vaidya,et al.  Improving power save protocols using carrier sensing for dynamic advertisement windows , 2005, IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005..

[7]  Katia Obraczka,et al.  Modeling energy consumption in single-hop IEEE 802.11 ad hoc networks , 2004, Proceedings. 13th International Conference on Computer Communications and Networks (IEEE Cat. No.04EX969).

[8]  Voon Chin Phua,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1999 .

[9]  Fred Daneshgaran,et al.  A Model of the IEEE 802.11 DCF in Presence of Non Ideal Transmission Channel and Capture Effects , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[10]  A. Girotra,et al.  Performance Analysis of the IEEE 802 . 11 Distributed Coordination Function , 2005 .

[11]  Cory C. Beard,et al.  Analytical models for understanding space, backoff, and flow correlation in CSMA wireless networks , 2012, Wireless Networks.

[12]  Chiew Tong Lau,et al.  A modified power saving mode in IEEE 802.11 distributed coordinator function , 2005, Comput. Commun..

[13]  Pravin Varaiya,et al.  Throughput Analysis and Admission Control for IEEE 802.11a , 2005, Mob. Networks Appl..

[14]  Pravin Varaiya,et al.  Decomposition of Energy Consumption in IEEE 802.11 , 2007, 2007 IEEE International Conference on Communications.

[15]  Marco Conti,et al.  NETWORKING 2002, Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications, Second International IFIP-TC6 Networking Conference, Pisa, Italy, May 19-24, 2002, Proceedings , 2002, NETWORKING.

[16]  Phillip A. Laplante Performance Analysis and Optimization , 2004 .

[17]  William G. Scanlon,et al.  Performance Analysis of Improved IEEE 802.11 Infrastructure Power Saving Under Time-Correlated Channel Errors , 2008, Int. J. Wirel. Inf. Networks.

[18]  Cory C. Beard,et al.  Analytical models for understanding misbehavior and MAC friendliness in CSMA networks , 2009, Perform. Evaluation.

[19]  Yang Xiao,et al.  Performance analysis of priority schemes for IEEE 802.11 and IEEE 802.11e wireless LANs , 2005, IEEE Transactions on Wireless Communications.

[20]  Sandip Chakraborty,et al.  Performance analysis of IEEE 802.11 IBSS power save mode using a discrete-time markov model , 2012, SAC '12.

[21]  Nitin H. Vaidya,et al.  An energy efficient MAC protocol for wireless LANs , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[22]  Anjali Agarwal,et al.  Three-Dimensional Markov Chain Model for Performance Analysis of the IEEE 802.11 Distributed Coordination Function , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[23]  P. Bhaduri,et al.  Throughput Analysis of the IEEE 802 . 11 Power Save Mode in Single Hop Ad hoc Networks , 2011 .

[24]  Theodore Antonakopoulos,et al.  CSMA/CA performance under high traffic conditions: throughput and delay analysis , 2002, Comput. Commun..

[25]  Anurag Kumar,et al.  Analytical Modeling of Saturation Throughput in Power Save Mode of an IEEE 802.11 Infrastructure WLAN , 2010, ArXiv.