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Localized Minimum-Energy Broadcasting for Wireless Multihop Networks with Directional Antennas

机译:带有定向天线的无线多跳网络的本地化最小能量广播

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We propose several localized algorithms to achieve energy-efficient broadcasting in wireless multihop networks using directional antennas. Each node needs to know only geographic position of itself and its neighbors. Our first protocol is called DRBOP and it follows the one-to-one communication model to reach to all nodes in the relative neighborhood graph (RNG). Each node that receives a message for the first time from one of its RNG neighbors will rebroadcast it to each of its remaining RNG neighbors separately. The transmission power is adjusted for each transmission to the minimal necessary for reaching the particular neighbor. Next, we describe DLBOP, where RNG is replaced by the localized minimum spanning tree (LMST) graph which is a localized topology resembling the minimum spanning tree. We then observe that, for very dense networks, it is more energy-efficient to reach more than one neighbor at a time. A one-to-many protocol efficient for dense networks is proposed. We then describe an efficient localized protocol which adaptively switches (without any threshold) between one-to-one and one-to-many communication models and is efficient for both sparse and dense networks. Our simulation results show that for different energy models, the adaptive protocol is able to achieve a competitive performance to globalized algorithms while having a fully localized operation.
机译:我们提出了几种本地化算法,以使用定向天线在无线多跳网络中实现节能广播。每个节点仅需要知道其自身及其邻居的地理位置。我们的第一个协议称为DRBOP,它遵循一对一通信模型到达相对邻域图(RNG)中的所有节点。第一次从其RNG邻居中的一个接收消息的每个节点将分别将其广播到其其余RNG邻居中的每个。将每次传输的传输功率调整到达到特定邻居所需的最小功率。接下来,我们描述DLBOP,其中RNG被局部最小生成树(LMST)图代替,该图是类似于最小生成树的局部拓扑。然后我们观察到,对于非常密集的网络,一次到达多个邻居的能源效率更高。提出了一种对密集网络有效的一对多协议。然后,我们描述一种有效的本地化协议,该协议可在一对一和一对多通信模型之间自适应切换(无任何阈值),并且对于稀疏和密集网络都是有效的。我们的仿真结果表明,对于不同的能源模型,自适应协议能够在具有完全本地化的操作的同时,与全球化算法相比具有竞争优势。

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