摘要
针对无线体域网中因通信链路时变而带来的能量浪费问题,该文提出一种能量高效且可靠的自适应路由协议。该协议在数据传播模型的基础上引入了无线链路质量的计算方法,并将各个链路质量作为隐马尔可夫模型(HMM)的状态观测值进行训练,以此得出最优的路由路径。仿真结果表明,该协议相比于基于预测的安全可靠路由(PSR)协议等已有的预测路由协议,降低了网络的数据丢包率和时延,延长了网络节点的生命周期。
To solve the problem of time-variant communication links in Wireless Body Area Networks （WBANs）, a novel energy efficient and reliable Adaptive Routing （AR） protocol is proposed. Based on the analysis of data propagation model, a computing method for the quality of outer links, which are trained by Hidden Markov Model （HMM） as the observation value in order to find the optimal routing path, is also brought forward. The simulation results indicate that compared to the existed prediction-based routing protocol such as Prediction-based Secure and Reliable routing framework （PSR）, etc., the performances such as the network packets loss rate, the network time delay and the nodes＇ lifetime are improved significantly in the proposed.
出处
《电子与信息学报》
EI
CSCD
北大核心
2013年第6期1520-1524,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金(30971689)
中央高校基本科研业务费专项资金(JUSRP21129)资助课题
关键词
无线体域网
能量受限
链路时变
自适应
Wireless Body Area Networks （WBANs）
Energy constrained
Time-variant links
Adaptation
