摘要
针对井下信道环境复杂、无线网络连通性差的问题,提出一种基于矿下工种终端移动马尔可夫模型的多属性机会网络分组转发协议并实现。首先结合矿下终端移动建立马尔可夫模型,预测终端相遇概率;然后计算终端网络时延、终端与目的终端相遇概率及其扩散范围;最后根据层次分析法确定数据转发策略。仿真结果表明,提出的分组转发协议在终端活动范围受限、活跃度有较大差异的场景下可以获得更好的网络性能。
This paper proposed a packet forwarding protocol based on terminals＇ Markov mobility model for coal mine poor connectivity in opportunistic networks since its complex environment. First, it established a Markov model for predicting the probability of terminals＇ encounter. Then it calculated the network-delay in the condition of next selected relay-terminal, the probability of terminal encounter with destination and the terminal diffusion range based on the model, by which the best relayterminal can be obtained to receive data packet based on analytic hierarchy process. Theoretical analysis and simulation results show that the proposed protocol has a better performance in terms of delay and overhead compared with Flooding and HMPR method, and it＇ s more suitable for coal mine opportunistic networks.
出处
《计算机应用研究》
CSCD
北大核心
2017年第1期206-210,共5页
Application Research of Computers
基金
国家"863"计划资助项目(2013AA013603)
关键词
分组转发协议
机会网络
马尔可夫模型
终端属性
矿下
packet forwarding protocol
opportunistic networks
Markov model
terminal attribute
coal mine
