A Calculus Approach to Energy-Efficient Data Transmission With Quality-of-Service Constraints

Transmission rate adaptation in wireless devices provides a unique opportunity to trade off data service rate with energy consumption. In this paper, we study optimal rate control to minimize transmission energy expenditure subject to strict deadline or other quality-of-service (QoS) constraints. Sp...

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Vydáno v:IEEE/ACM transactions on networking Ročník 17; číslo 3; s. 898 - 911
Hlavní autoři: Zafer, M.A., Modiano, E.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.06.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Batteries
Calculus
Costs
Data communication
Data transmission
Delay
Devices
energy
Energy conservation
Energy consumption
Energy efficiency
Energy transmission
Expenditures
Mathematical analysis
network calculus
Optimization
Policies
Quality of service
quality of service (QoS)
rate control
Streaming media
Studies
Transmitters
wireless
Wireless sensor networks
ISSN:1063-6692, 1558-2566
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Shrnutí:Transmission rate adaptation in wireless devices provides a unique opportunity to trade off data service rate with energy consumption. In this paper, we study optimal rate control to minimize transmission energy expenditure subject to strict deadline or other quality-of-service (QoS) constraints. Specifically, the system consists of a wireless transmitter with controllable transmission rate and with strict QoS constraints on data transmission. The goal is to obtain a rate-control policy that minimizes the total transmission energy expenditure while ensuring that the QoS constraints are met. Using a novel formulation based on cumulative curves methodology, we obtain the optimal transmission policy and show that it has a simple and appealing graphical visualization. Utilizing the optimal ldquoofflinerdquo results, we then develop an online transmission policy for an arbitrary stream of packet arrivals and deadline constraints, and show, via simulations, that it is significantly more energy-efficient than a simple head-of-line drain policy. Finally, we generalize the optimal policy results to the case of time-varying power-rate functions.
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ISSN:1063-6692
1558-2566
DOI:10.1109/TNET.2009.2020831