A reversed-routing tree with self-reconfiguration for body sensor networks

This paper aims at constructing a reversed-routing tree (RRT) with self-reconfiguration for body sensor networks (BSN). There are two purposes of building the RRT: (i) to reduce packet collisions, a multi-hop tree structure is adopted to replace traditional single-hop star structure; (ii) to decrease packet loss ratio (PLR), the RRT selects the routes based on the link quality indicator (LQI). Moreover, once there is a sudden human body movement, the RRT can reconfigure itself such that a disconnected sensor node can reconnect to another parent node. However, reconfiguration time may increase if human body moves too quickly, which prevents a sensor node from reconnecting to a new parent, consequently no collected data can be forwarded. To improve the throughput degradation under fast moving body, an optimal LQI threshold and measurement interval is adequately determined.