PAMAS—power aware multi-access protocol with signalling for ad hoc networks
ACM SIGCOMM Computer Communication Review
Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Proceedings of the 7th annual international conference on Mobile computing and networking
A framework for energy-scalable communication in high-density wireless networks
Proceedings of the 2002 international symposium on Low power electronics and design
Energy-efficient packet transmission over a wireless link
IEEE/ACM Transactions on Networking (TON)
Channel Access-Based Self-Organized Clustering in Ad Hoc Networks
IEEE Transactions on Mobile Computing
Energy-efficient collision-free medium access control for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Practical lazy scheduling in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Powerful Change Part 1: Batteries and Possible Alternatives for the Mobile Market
IEEE Pervasive Computing
Design of Analog CMOS Integrated Circuits
Design of Analog CMOS Integrated Circuits
Credit-based slot allocation for multimedia mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
Energy Aware Algorithm and Implementation of SDR Oriented HSDPA Chip Level Equalizer
Journal of Signal Processing Systems
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Energy efficiency is imperative to enable the deployment of ad hoc networks. Conventional power management focuses independently on the physical or MAC layer and approaches differ depending on the abstraction level. At the physical layer, the fundamental tradeoff between transmission rate and energy is exploited, which leads to transmit as slow as possible. At MAC level, power reduction techniques aim to transmit as fast as possible to maximize the radios power-off interval. The two approaches seem conflicting and it is not obvious which one is the most appropriate. We propose a transmission strategy that optimally mixes both techniques in a multiuser context. We present a cross-layer solution considering the transceiver power characteristics, the varying system load, and the dynamic channel constraints. Based on this, we derive a low-complexity online scheduling algorithm. Results considering an M-ary quadrature amplitude modulation radio show that for a range of scenarios a large power reduction is achieved, compared to the case where only scaling or shutdown is considered.