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Energy-efficient transmission over a wireless link via lazy packet scheduling

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3 Author(s)
Prabhakar, B. ; Inf. Syst. Lab., Stanford Univ., CA, USA ; Uysal Biyikoglu, E. ; El Gamal, A.

The paper considers the problem of minimizing the energy used to transmit packets over a wireless link via lazy schedules that judiciously vary packet transmission times. The problem is motivated by the following key observation: in many channel coding schemes, the energy required to transmit a packet can be significantly reduced by lowering the transmission power and transmitting the packet over a longer period of time. However, information is often time-critical or delay-sensitive and transmission times cannot be made arbitrarily long. We therefore consider packet transmission schedules that minimize energy subject to a deadline or a delay constraint. Specifically, we obtain an optimal offline schedule for a node operating under a deadline constraint. An inspection of the form of this schedule naturally leads us to an online schedule which is shown, through simulations, to be energy-efficient. Finally, we relax the deadline constraint and provide an exact probabilistic analysis of our offline scheduling algorithm. We then devise a lazy online algorithm that varies transmission times according to backlog and show that it is more energy efficient than a deterministic schedule that guarantees stability for the same range of arrival rates

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INFOCOM 2001. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE  (Volume:1 )

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