Research On Adaptive Communication Protocol For Body Sensor Network

Body sensor network (BSN) use wearable and implantable sensors deployed in or around the patients'body to monitor users' physical condition, including blood pressure, heart rate, blood oxygen and so on. New technology could avoid the long waiting in the hospital and offer the possibility of remote medical. It has been expected to become the most promising ways.As the new features of BSN, the existing WSN protocol is not entirely suitable for BSN. Firstly, BSN node has more restrictions in the energy. Secondly, BSN often move with the human body, so protocols for BSN must be flexible enough to adapt to the changing communication environment and network topology. Finally, it should be taken into account that the influence between human body and wireless communication. However, either single-hop star protocol or multi-hop protocol for BSN does not consider the influence of human movement on the communication, which can not be ignored for the small-scale BSN. In this paper, an adaptive protocol is proposed for BSN to alleviate the influence of human movement on the communication. In the first place, the protocol adjusts the network topology between one-hop and multi-hop adaptively according to the position of user and motion state, and thus the network architecture can be optimized to achieve low-power and reliable communication. In the next place, based on the characteristic of BSN, a novel cluster head selection method is proposed, which takes the residual energy of the node and the packet delivery rate as the key parameters, and considers the balanced distribution of energy and the communication quality.In the end of the paper, the protocol is validated by experimental simulation in terms of the packet delivery rate, average energy consumption of nodes and network lifetime through Castalia simulation tool. Extensive simulation results demonstrate that the proposed adaptive scheme not only can guarantee the communication quality, but also reduce communication energy consumption, while extending the life of the entire network.