The Routing Study On Wearable Physiological Monitoring Oriented Wireless Sensor Network QoS

As an emerging network measurement and control technology, wireless sensor network has a growing presence in the diverse biomedical filed. The availability of biosensors, low power consumption IC, the development of computer science and wireless communication have enabled the increasingly widespread research and application of wearable sensor network in physiological monitoring of human body.The Quality of Service of Wearable Wireless Sensor Network for physiological monitoring, especially transmission delay and reliability should strictly meetrequirements in the domain of medical and health care. However, moving human body and varying environment make Wearable WSN highly dynamic, posing a great challenge to the design of transmission protocol, especially routing protocol.Aiming at ensuring real-time and reliable transmission of WWSN for physiological monitoring in dynamic environment, this paper makes an improvement on traditional Collection Tree Protocol by introducingPareto Multi-objective optimization method and Ant colony algorithm, which designs and implements the routing protocol.The performence is proved to reach our research goal through evaluation of simulation. The realization of protocol based on Petri Net shows the validity of the routing algorithm.Firstly, a literature review is given on research status of WWSN, followed by analysis of advantages and disadvantages in current wireless network protocols. Considering the demand for a dynamic QoS protocol in this network, a route protocol, MO-CTP, is proposed based on Pareto multi-objective optimization and Collection Tree Protocol(CTP).Then. MO-CTP is first used in quality evaluation of single hop link with addition of single hop transmission delay into performance index. Afterwards, multi-path routes are created through routing topology according to Pareto principle, and one of those routes is chosen depending on weather it can enable real time and reliable data transmission. Compared with traditional CTP, MO-CTP is not only more applicable and adaptable in the choice of transmitting route, but also meets the industrial requirements for multi-objective transmission of being real time and reliable.Subsequently, an optimal route is selected out of several multi-objective routes using ant colony algorithm, with the purpose of realizing real-time, reliable transmission and network balance. Simulation using MATLAB indicates that the proposed route protocol is viable, and also, the optimal route chosen changes as the topological structure varies.At last, MO-CTP is formally modeled employing colored Petri net (CPN), and it is implemented and tested using object-oriented hierarchical Petri nets modeling tools. It shows its correction after analysising the agreement's boundedness, active, resilience and fairness.The achievements in the thesis will be the basis for development of wearable biomedical control network in community-oriented, hospitals, geracomium and so on.