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A multi-channel cooperative MIMO MAC protocol for wireless sensor networks

机译:用于无线传感器网络的多通道协作MIMO MAC协议

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Recently, several multi-channel MAC protocols have been proposed for wireless sensor networks (WSNs) to improve network capacity and boost energy efficiency. In addition, cooperative multiple-input multiple-output (MIMO) technique has been shown to be able to significantly enhance the energy efficiency of WSNs if properly configured. However, these two promising techniques have not been jointly utilized in WSNs. In this paper, we explore such a joint design by proposing a novel MAC protocol for WSNs that takes advantage of both multiple channels and cooperative MIMO. Specifically, sensor nodes in a WSN are organized into clusters and each cluster head selects some cooperative nodes to help forward traffic to or receive from other clusters by utilizing cooperative MIMO technique. For intra-cluster communications, different channels are assigned to adjacent clusters to reduce collisions, while for inter-cluster communications, cooperative MIMO links are scheduled to improve energy efficiency and concurrent transmissions are enabled by assigning different channels to them. We carry out extensive simulations and the results demonstrate that the proposed protocol can significantly increase throughput and improve energy efficiency compared to other schemes. For example, for a WSN with 150 nodes in a 250m × 250m field, with five or more available channels, the protocol can achieve over three times saturated throughput while saving up to 17% energy per bit for inter-cluster communications.
机译:最近,已经提出了几种用于无线传感器网络(WSN)的多通道MAC协议,以提高网络容量并提高能效。另外,如果配置正确,协作多输入多输出(MIMO)技术已被证明能够显着提高WSN的能效。但是,这两种有希望的技术尚未在WSN中联合使用。在本文中,我们通过为WSN提出一种新颖的MAC协议来探索这种联合设计,该协议同时利用了多个信道和协作MIMO。具体而言,WSN中的传感器节点被组织为群集,并且每个群集头都选择了一些协作节点,以通过利用协作MIMO技术来帮助将流量转发到其他群集或从其他群集接收流量。对于集群内通信,将不同的信道分配给相邻集群以减少冲突,而对于集群间通信,则调度协作MIMO链路以提高能源效率,并通过为它们分配不同的信道来启用并发传输。我们进行了广泛的仿真,结果表明,与其他方案相比,该协议可以显着提高吞吐量和提高能源效率。例如,对于一个在250m×250m字段中具有150个节点,具有五个或更多可用信道的WSN,该协议可以实现三倍以上的饱和吞吐量,同时为集群间通信每位节省多达17%的能量。

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