ABSTRACT
Given the widespread adoption of the IEEE 802.11 standard in a number of battery-operated devices, the power save mode (PSM) defined for both Basic Service Sets (BSS), and Independent Basic Service Sets (IBSS), are key elements for an energy-efficient operation. In the IEEE 802.11 PSM for IBSS, time is divided into beacon intervals, which is further divided into a traffic announcement window and a data window. Every station who wants to transmit a data frame must first send an announcement traffic information message (ATIM) frame to the intended receiver. Only the stations who successfully exchange ATIM frames may remain active for the follwing data window, while the rest of the stations go to sleep mode. In spite of its importance to day-to-day use, very few works have addressed the analytical modeling of the IEEE 802.11 PSM for IBSS. In this paper, we revisit an analytical model previously proposed in the literature that is based on a discrete-time Markov chain for saturated networks under perfect channel conditions. Thus, rather than simplifying the solution and focus on a subset of states related to the data window only, new expressions for numerical computation of the overall steady-state solution are presented, which take into account all states of the original Markov chain explicitly, including the impact of consecutive ATIM frame retransmissions through distinct beacon intervals. Hence, different from the results previously reported, where average throughput may surprisingly increase with the number of stations, our results show the intuitive and expected behavior of lower throughput values as the number of stations increases. Moreover, it is shown that the average network throughput is typically lower than it was previously predicted. Finally, we also investigate the impact of the number of ATIM frame retransmissions between consecutive beacon intervals on the average network throughput.
- Pranav Agrawal, Anurag Kumar, Joy Kuri, and Manoj K. Panda. 2010. Analytical modeling of saturation throughput in power save mode of an IEEE 802.11 infrastructure WLAN. arXiv preprint arXiv:1012.4815 (2010).Google Scholar
- IEEE Standards Association and others. 2012. 802.11-2012-IEEE Standard for Information technology--Telecommunications and information exchange between systems Local and metropolitan area networks-Specific requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. (2012).Google Scholar
- Giuseppe Bianchi. 2000. Performance analysis of the IEEE 802.11 distributed coordination function. Selected Areas in Communications, IEEE Journal on 18, 3 (2000), 535--547.Google Scholar
- Periklis Chatzimisios, Anthony C. Boucouvalas, and Vasileios Vitsas. 2003. IEEE 802.11 packet delay-a finite retry limit analysis. In Global Telecommunications Conference, 2003. GLOBECOM'03. IEEE, Vol. 2. IEEE, 950--954.Google ScholarCross Ref
- Fred Daneshgaran, Massimiliano Laddomada, Fabio Mesiti, and Marina Mondin. 2008. Unsaturated throughput analysis of IEEE 802.11 in presence of non ideal transmission channel and capture effects. Wireless Communications, IEEE Transactions on 7, 4 (2008), 1276--1286.Google ScholarDigital Library
- Ioannis Glaropoulos, Stefan Mangold, and Vladimir Vukadinovic. 2013. Enhanced IEEE 802.11 power saving for multi-hop toy-to-toy communication. In Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing. IEEE, 603--610.Google ScholarDigital Library
- E. S. Jung and N. H. Vaidya. 2002. Energy efficient MAC protocol for wireless LANs. In Proc. INFOCOM, Vol. 3. 1756--1764.Google Scholar
- Hongyan Lei and Arne A. Nilsson. 2007. Queuing Analysis of Power Management in the IEEE 802.11 Based Wireless LANs. IEEE Transactions on Wireless Communications 6, 4 (April 2007), 1286--1294. Google ScholarDigital Library
- David Malone, Ken Duffy, and Doug Leith. 2007. Modeling the 802.11 distributed coordination function in nonsaturated heterogeneous conditions. Networking, IEEE/ACM Transactions on 15, 1 (2007), 159--172.Google ScholarDigital Library
- M. J. Miller and N. H. Vaidya. 2005. Improving power saving protocols using carrier sensing for dynamic advertisement windows. In Proc. MASS.Google Scholar
- Ghazanfar Ali Safdar and William G Scanlon. 2008. Performance analysis of improved IEEE 802.11 infrastructure power saving under time-correlated channel errors. International Journal of Wireless Information Networks 15, 1 (2008), 36--42. Google ScholarCross Ref
- Pravati Swain, Sandip Chakraborty, Sukumar Nandi, and Purandar Bhaduri. 2011. Throughput analysis of the IEEE 802.11 power save mode in single hop ad hoc networks. the proc. of ICWN (2011).Google Scholar
- Pravati Swain, Sandip Chakraborty, Sukumar Nandi, and Purandar Bhaduri. 2014. Performance modeling and evaluation of IEEE 802.11 IBSS power save mode. Ad Hoc Networks 13 (2014), 336--350. Google ScholarDigital Library
- Pravati Swain, Sandip Chakraborty, Sukumar Nandi, and Purandar Bhaduri. 2015. Performance modeling and analysis of IEEE 802.11 IBSS PSM in different traffic conditions. IEEE Transactions on Mobile Computing 14, 8 (2015), 1644--1658. Google ScholarCross Ref
- Markus Tauber and Saleem N Bhatti. 2012. The effect of the 802.11 power save mechanism (PSM) on energy efficiency and performance during system activity. In Green Computing and Communications (GreenCom), 2012 IEEE International Conference on. IEEE, 573--580.Google ScholarDigital Library
- Wei Zhang, Yuhan Zhou, Mahima A. Suresh, and Radu Stoleru. 2015. On Modeling Single-Cell IEEE 802.11 Ad-Hoc Network with Power Saving Mode. In IEEE WiMob. 553--541.Google Scholar
- Rong Zheng, Jennifer C. Hou, and Lui Sha. 2006. Performanc Analysis of Power Management Policies in Wireless Networks. IEEE Transactions on Wireless Communications 5, 6 (June 2006), 1351--1361. Google ScholarDigital Library
Index Terms
- Revisiting the Analytical Modeling of the IEEE 802.11 Power Save Mode for Independent Basic Service Sets (IBSS)
Recommendations
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 ...
Relay-volunteered multi-rate cooperative MAC protocol for IEEE 802.11 WLANs
In IEEE 802.11, the rate of a station (STA) is dynamically determined by link adaptation. Low-rate STAs tend to hog more channel time than high-rate STAs due to fair characteristics of carrier sense multiple access/collision avoidance, leading to ...
Performance analysis of the IEEE 802.11 DCF in the presence of the hidden stations
In this paper, we present an analytical model to evaluate the hidden station effect on the performance of the IEEE 802.11 Distributed Coordination Function (DCF) in both non-saturation and saturation condition. DCF is a random channel-access scheme ...
Comments