A Wireless Ad hoc Sensor Network (WASN) is an emerging technology that will play an essential role in the upcoming age of ubiquitous computing. A WASN is an autonomous collection of low cost devices that communicate over wireless links. This devices are often powered by limited energy resources, and it is expensive and sometimes infeasible to recharge or replace them. Hence, energy efficiency is the main design concern for such a network. In literature, several energy-efficient Medium Access Control (MAC) protocols have been proposed, because the primary sources of energy waste are collision, overhearing, idle listening, and overhead. In this paper, we propose a novel adaptive MAC layer protocol, which uses a model-based duty cycle adaptation strategy based on traffic load predictions. Specifically, a stochastic model is used by a state estimator to predict the network's future conditions. The predicted network conditions are then used by an optimizer to derive an optimal wake-up time schedule, which reduces the end-to-end latency while saving energy. Our experimental results on a simulated WASN reveal that, under heavy as well as light traffic conditions, our solution results in an improvement in the balance between end-to-end latency and energy consumption. © 2010 IEEE.
Corradini, F., Papalini, M., Polzonetti, A., Riganelli, O. (2010). Optimization and evaluation of an energy-efficient MAC protocol for WASNs. In Proceedings of the 6th International Conference on Networking and Services, ICNS 2010, Includes LMPCNA 2010; INTENSIVE 2010 (pp.293-298) [10.1109/ICNS.2010.47].
Optimization and evaluation of an energy-efficient MAC protocol for WASNs
Riganelli O.
2010
Abstract
A Wireless Ad hoc Sensor Network (WASN) is an emerging technology that will play an essential role in the upcoming age of ubiquitous computing. A WASN is an autonomous collection of low cost devices that communicate over wireless links. This devices are often powered by limited energy resources, and it is expensive and sometimes infeasible to recharge or replace them. Hence, energy efficiency is the main design concern for such a network. In literature, several energy-efficient Medium Access Control (MAC) protocols have been proposed, because the primary sources of energy waste are collision, overhearing, idle listening, and overhead. In this paper, we propose a novel adaptive MAC layer protocol, which uses a model-based duty cycle adaptation strategy based on traffic load predictions. Specifically, a stochastic model is used by a state estimator to predict the network's future conditions. The predicted network conditions are then used by an optimizer to derive an optimal wake-up time schedule, which reduces the end-to-end latency while saving energy. Our experimental results on a simulated WASN reveal that, under heavy as well as light traffic conditions, our solution results in an improvement in the balance between end-to-end latency and energy consumption. © 2010 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.