Power Aware Topology Management and Congestion Control Mechanism in High Medical QoS WHMNs
Wireless health monitoring networks (WHMNs) usually characterized by limited bandwidth resource and large amount of data, so to improve the network throughput of the wireless health monitoring network is a key challenge. Besides, as the data transmitted in the WHMNs are about the health or even the life of the people being monitored, so the real-time ability of the network should be ensured. In this paper, an adaptive transmission power based congestion control (Acc) mechanism was designed to achieve high throughput and real-time for a three-tier semi-self-organizing health monitoring network. The router nodes adjust their wireless transmission power according to the current network topology state and the communication state of the network adaptively to balance network load and reduce network congestion. The congestion control methods proposed in this paper have the characteristics of low power consumption and low communication overhead. Experiments have shown that the WHMN with the proposed Acc mechanism performs better than the WHMNs without the Acc in end-to-end delay and network throughput.
This paper was supported by natural science foundation of China (NSFC 61379136), Shenzhen strategic emerging industry development special funds project (JCYJ20130401170306884), and Shenzhen science and technology plan projects (JCYJ20140417113430655).
- 2.Xiao Y, Kim K. Congestion control of differentiated service network [J]. Chinese Journal of Electronics, 19(1): pp. 113–118, 2010.Google Scholar
- 3.F M Sun, Z Fang, Z Zhao, et al. A Wireless ZigBee Router with P-H-T Sensing for Health Monitoring[C]. Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing, pp. 1773–1778, 20–23 Aug. 2013.Google Scholar
- 4.F M Sun, Z Zhao, Z Fang, L D Du, et al. Implementation and real-time and reliability evaluation of a WHMS improved by LHRP and SMAM. International Journal of Distributed Sensor Networks, Volume 2015, Article ID 282816, 11 pages, 2015.Google Scholar