International Workshop on Green Solutions for Body Area Networks, November 06-07 2014,

UPMC Sorbonne Universités, Paris, France




Updated in May 2014

webmaster : Pascal Gomez


Recent years have witnessed the emergence of wireless Body Area Networks (BANs). BANs are sensor networks that are embedded in, on or near the human body. Although a wide range of applications is considered, the research is largely driven by the potential in medical and healthcare sectors, the most challenging application being long-distance continuous and sustainable monitoring of people’s health situation. In this context, BANs are facing important issues regarding energy aspects. How to achieve autonomous BANs with miniaturized sensors where the room for batteries is extremely limited or how to diminish global energy consumption as the number of sensor nodes substantially increases?

The objective of the International Workshop on Green Solutions for Body Area Networks is to present and exchange the latest developments in energy efficient Wireless Body Area Networks. It aims to bring researchers working in the different fields of BAN with a focus on energy issues as well as in the field of power supply for such networks. Consequently, the topics are (but not limited to) in the following inter-disciplinary areas:

  • Propagation
    • In-/On-/Off-Body propagation
    • Channel modeling and measurement
    • Antenna radiation and coupling with the body
  • Hardware
    • Low power devices and sensors
    • Low power architectures
    • Efficient antennas
    • RF MEMS
  • Energy and power in wireless sensors
    • Energy consumption assessment
    • Energy harvesting
    • Wireless power transfer
    • Power management
  • Numerical modeling
    • Multiphysics modeling of devices,sensors, and energy transducers
    • Electromagnetic modeling of antennas, channel, and human body
  • Energy efficient communication protocols and algorithms
  • Network
    • QoS and interference
    • Topology dynamics management
    • Optimal routing
  • Localization and focalization techniques
  • Applications for healthcare and wellbeing