Date Added: Jun 2010
Body Sensor Networks are an interesting emerging application of wireless sensor networks to improve healthcare and the Quality of Life. Current research has mainly focused on single-hop networks, although some works clearly show advantages of multi-hop architectures. In this paper, the authors model probabilistic connectivity in such multi-hop body sensor networks. Instead of using a circular coverage area, a more accurate model is defined based on the path loss along the human body. Further, they propose improvements to CICADA, a cross-layer multi-hop protocol that handles both medium access and the routing of data in BSNs. CICADA is slot-based and uses schemes to allocate these slots.