PAMAS—power aware multi-access protocol with signalling for ad hoc networks
ACM SIGCOMM Computer Communication Review
Energy-efficient packet transmission over a wireless link
IEEE/ACM Transactions on Networking (TON)
Energy-Efficient Adaptive Wireless Network Design
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
MiSer: an optimal low-energy transmission strategy for IEEE 802.11a/h
Proceedings of the 9th annual international conference on Mobile computing and networking
Throughput and Value Maximization in Wireless Packet Scheduling under Energy and Time Constraints
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
An Explicit Solution for the Value Function of a Priority Queue
Queueing Systems: Theory and Applications
Scheduling multimedia services in a low-power MAC for wireless andmobile ATM networks
IEEE Transactions on Multimedia
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A wireless device's energy can be saved by putting it into the sleeping mode (power saving mode, PSM) or decreasing its transmission power (transmission power control, TPC) which prolongs the packet transmission time. However, decreasing one's transmission power would prevent others from transmitting their packets. Clearly, there are complex interactions when each tries to optimize its own energy efficiency. Therefore, in this paper we are considering the problem of optimizing the energy efficiency for all wireless devices in the network with the constraint that they are all stable. In particular, we consider the polling-based MAC protocols with phase grouping and mobile grouping schedules, and we employ both the PSM and TPC to save the energy. We have formulated stability-constrained optimization problems for them, and have proposed an iterative algorithm to compute the optimal power allocations for the wireless devices. We have conducted a lot of experiments to validate the accuracy of the algorithm and to evaluate the gains in the energy efficiency for the two schedules. The mobile grouping schedule is found to be much more energy efficient than the PG schedule, especially when the downlink traffic is higher than the uplink traffic. We have also studied the impact of the optimized schedules on the delay performance.