NDLI: An adaptive energy-efficient link layer protocol using stochastic learning control

Content Provider	IEEE Xplore Digital Library
Author	Kiran, S. Chandramouli, R.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA (Kiran, S.; Chandramouli, R.)
Abstract	We present a computationally simple stochastic learning control protocol framework for an adaptive energy efficient link layer protocol. A stochastic iterative technique is discussed that can produce soft channel state predictions and track slow/rapidly varying bursty, finite state wireless channels. No piori knowledge about the state transition probabilities is needed for this. Theoretical convergence of the proposed technique is shown. The proposed link layer protocol utilizes the channel state predictions from the stochastic learning algorithm while computing energy efficient transmission policies. This entire process is performed on-line with no pilot (training) symbols, etc., thereby improving the throughput and avoiding energy wastage due to pilot symbols. Simulation results show that up to 50% energy savings can be obtained for some channels when compared with a popular link layer protocol. Energy and delay can be trade-off efficiently using the proposed method.
Starting Page	1114
Ending Page	1118
File Size	277603
Page Count	5
File Format	PDF
ISBN	0780378024
DOI	10.1109/ICC.2003.1204535
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Energy efficiency Protocols Stochastic processes Wireless networks Automatic repeat request Communication system control Wireless LAN Batteries
Content Type	Text
Resource Type	Article

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