Traffic-prediction-assisted dynamic power saving mechanism for IEEE 802.16e wireless MANs

Abstract

How to reduce the energy consumption powered mainly by battery to prolong the standby time is one of the crucial issues for IEEE 802.16e wireless MANs. By predicting the next downlink inter-packet arrival time, three traffic-prediction-assisted power saving mechanisms based on P-PSCI, i.e., PSCI-PFD, PSCI-ED and PSCI-LD, were proposed. In addition, the corresponding adjustment strategies for P-PSCI were also presented when there were uplink packets to be transmitted during sleep mode. Simulation results reveal that compared with the sleep mode algorithm recommended by IEEE 802.16e, the proposed mechanism P-PSCI can improve both energy efficiency and packet delay for IEEE 802.16e due to the consideration of the traffic characteristics and rate changes. Moreover, the results also demonstrate that PSCI-PFD (a=−2) significantly outperforms PSCI-ED, PSCI-LD, and the standard sleep mode in IEEE 802.16e is in terms of energy efficiency and packet delay.

Keywords

sleep mode / power saving / traffic prediction / IEEE 802.16e

References

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