基于MCN和WSN的融合技术研究

Research of Convergence of MCN and WSN

近年来,为了满足以数据为中心的无线服务和应用程序等业务的快速增长的需求,不需要人类参与的M2M通信得到了迅猛发展;为了支持M2M通信,移动蜂窝网络(MCN)和无线传感网络(WSN)正逐渐从独立的网络走向融合;这里讨论了MCN和WSN融合所面临的技术难题;提出在融合网络中,可以使MCN中的移动终端扮演传感器节点和WSN中网关的角色;评估了这种方法的性能,仿真表明采用与MCN交互式优化的方法能够提高WSN的吞吐量、延时、网络寿命等性能。

In recent years, machine--to--machine （M2M） communications, which do not need direct interactions from human beings, are booming to meet the fast--increasing requirements of data centric wireless services and applications. Mobile cellular networks （MCN） and wireless sensor networks （WSN） are evolving from heterogeneous networks to converged networks, in order to support M2M communica- tions. In this article, we investigate and discuss key technical challenges and opportunities for the convergence of MCN and WSN. We pro- pose that the mobile terminals in MCN act as both sensor nodes and gateways for WSN in the converged networks. We evaluated the per- formance gain, and our simulation results show that better system performance, in terms of throughput, delay, and network lifetime, can be achieved in WSN by using interactive optimization with MCN.