首页> 外文会议>2014 IEEE 10th International Conference on Wireless and Mobile Computing, Networking and Communications >Short-term link quality estimation for Opportunistic and Mobility Aware Routing in wearable body sensors networks
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Short-term link quality estimation for Opportunistic and Mobility Aware Routing in wearable body sensors networks

机译:可穿戴式人体传感器网络中机会和移动感知路由的短期链路质量估计

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This paper investigates the issues related to the link quality estimation and routing performance in highly dynamic WBSNs, where the inherent body mobility introduces frequent time and space variations in the observed link reliability and network connectivity. A new Opportunistic and Mobility Aware Routing (OMAR) protocol is proposed, which optimizes the routing process by taking benefit from captured long-term and short-term link behavior. Extensive simulations are performed using realistic WBSNs mobility and channel modeling, and representative MAC constraints. The obtained results show that the proposed OMAR approach outperforms conventional routing protocols in terms of energy consumption and routing path length, while ensuring a stable packet delivery ratio.
机译:本文研究与高动态WBSN中的链路质量估计和路由性能有关的问题,其中固有的身体移动性会在观察到的链路可靠性和网络连接性方面引入频繁的时间和空间变化。提出了一种新的机会和移动感知路由(OMAR)协议,该协议通过利用捕获的长期和短期链路行为来优化路由过程。使用实际的WBSN移动性和信道建模以及代表性的MAC约束来执行广泛的仿真。获得的结果表明,所提出的OMAR方法在能耗和路由路径长度方面均优于常规路由协议,同时确保了稳定的数据包传输率。

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