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

TL;DR

This paper introduces CLOEE, a cross-layer optimization algorithm for IEEE 802.15.6 IR-UWB WBANs that significantly improves energy efficiency by jointly optimizing payload size and pulses per symbol, addressing rate and reliability constraints.

Contribution

The paper presents a novel cross-layer optimization method, CLOEE, for energy efficiency in IR-UWB WBANs, integrating PHY and MAC layer resource allocation strategies.

Findings

CLOEE achieves up to ten times better energy efficiency than static strategies.

Simulation results validate the effectiveness of the proposed optimization approach.

The method balances rate, reliability, and energy consumption in WBANs.

Abstract

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