A link-indexed statistical traffic prediction approach to improving IEEE 802.11 PSM

Authors:
Chunyu Hu;Jennifer C. Hou
Affiliations:
Department of Electrical and Computer Engineering, University of Illinois, Urbana, IL 61801, USA;Department of Computer Science, University of Illinois, Urbana, IL 61801, USA
Venue:
Ad Hoc Networks
Year:
2005

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Abstract

IEEE 802.11 power save mode (PSM) is a representative of energy-saving protocols which put wireless network interfaces into sleep during idleness. To save energy, part of the performance of IEEE 802.11 is sacrificed attributed to the wake-up latency thus introduced. This paper proposes a complementary mechanism, called link-indexed statistical traffic predictor (LISP) to improve IEEE 802.11 PSM. LISP employs a simple, light-weight traffic prediction method to speed up the delivery of packets along the end-to-end path. By seeking the inherent correlation between ATIM_ACKs and incoming traffic, nodes en route stay awake in the beacon intervals in which packets are anticipated to arrive. As the result, a ''freeway'' is bridged for packets to rapidly traverse the route. Meanwhile, the number of duty cycles is reduced and more energy is conserved. We have conducted analytical and simulation studies and demonstrated the effectiveness of LISP. The impact of various factors is investigated, including traffic load, number of hops (of routes which connections traverse), ATIM window size and packet size, in both tandem networks and networks of arbitrary topologies.