使用拉丁矩形的干扰WBAN之间的高效介质访问仲裁
Efficient Medium Access Arbitration Among Interfering WBANs Using Latin Rectangles
摘要：
多个无线体域网（WBAN）之间的传输范围的重叠被称为共存。当不同WBAN的传感器同时使用同一信道进行传输时，干扰最有可能影响通信链路并降低性能。在本文中，我们提出了一种分布式的方法，适应网络的大小，即，共存WBAN的数量以及形成每个单独WBAN的传感器的密度，以便通过基于拉丁矩形的动态信道跳变来最小化同信道干扰的影响。此外，所提出的方法选择，以减少由信道跳变所产生的开销，并降低传输延迟，并节省在传感器和WBAN级的功率资源。具体来说，我们提出了两个方案的信道分配和媒体接入调度，以减少WBAN间干扰的概率。第一种方案，即使用拉丁矩形的分布式干扰避免（DAIL），分配信道和时隙组合，降低了介质访问冲突的概率。DAIL适用于拥挤的区域，例如，共存WBAN的高密度，并且由于WBAN协调器和传感器处的频繁信道跳变而涉及开销。第二种方案，即CHIM，利用相对较低密度的并置WBAN，通过仅在各个节点的级别检测到干扰时在信道之间跳频来节省功率。我们提出了一个分析模型，推导出的冲突概率和网络吞吐量。通过仿真进一步验证了DAIL和CHIM的性能。
英文摘要：
The overlap of transmission ranges among multiple Wireless Body Area Networks (WBANs) is referred to as coexistence. The interference is most likely to affect the communication links and degrade the performance when sensors of different WBANs simultaneously transmit using the same channel. In this paper, we propose a distributed approach that adapts to the size of the network, i.e., the number of coexisting WBANs, and to the density of sensors forming each individual WBAN in order to minimize the impact of co-channel interference through dynamic channel hopping based on Latin rectangles. Furthermore, the proposed approach opts to reduce the overhead resulting from channel hopping, and lowers the transmission delay, and saves the power resource at both sensor- and WBAN-levels. Specifically, we propose two schemes for channel allocation and medium access scheduling to diminish the probability of inter-WBAN interference. The first scheme, namely, Distributed Interference Avoidance using Latin rectangles (DAIL), assigns channel and time-slot combination that reduces the probability of medium access collision. DAIL suits crowded areas, e.g., high density of coexisting WBANs, and involves overhead due to frequent channel hopping at the WBAN coordinator and sensors. The second scheme, namely, CHIM, takes advantage of the relatively lower density of collocated WBANs to save power by hopping among channels only when interference is detected at the level of the individual nodes. We present an analytical model that derives the collision probability and network throughput. The performance of DAIL and CHIM is further validated through simulations.
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