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Advances in sensor networks enable pervasive health monitoring andpatient-specific treatments that take into account the patients medicalhistory, current state, genetic background, and personal habits. However,sensors are often battery power limited and vastly differ in their applicationrelated requirements. In this paper, we address both of these problems.Specifically, we study IEEE 802.15.6 ultra-wideband (UWB) wireless body areanetworks (WBANs) that use impulse radio (IR). We formulate the jointoptimization of the payload size and number of pulses per symbol to optimizethe energy efficiency under the minimum rate constraint. The proposedalgorithm, cross-layer optimization for energy efficiency (CLOEE), enables usto carry out a cross-layer resource allocation that addresses the rate andreliability trade-off in the physical (PHY) layer as well as the packet sizeoptimization and transmission efficiency for the medium access control (MAC)layer. Simulation results demonstrate that CLOEE can provide an order ofmagnitude improvement in to static strategies.

CLOEE - Cross-Layer Optimization for Energy Efficiency of IEEE 802.15.6 IR-UWB WBANs