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Parallel Identification of Central Nodes in Wireless Multi-hop Networks

机译:无线多跳网络中央节点的并行识别

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A wireless multi-hop network is a collection of nodes that communicate by message passing over multiple links. Sending a message to a remote node can consume some energy from all intermediary nodes. In a network, the nodes with minimum distance to all other nodes are called Jordan central nodes. Selecting the central nodes as sink or base station can considerably reduce the overall energy consumption and increase the network life time. This paper proposes a new parallel algorithm to find all central nodes of a network by finding BFS trees of a subset of nodes. The roots of the trees with smallest height are selected as Jordan central nodes. After finding each tree the algorithm eliminates some nodes from the search space. Available processors construct the BFS tree for different nodes in parallel and eliminate a group of unvisited nodes after creating each tree. The implementation results of the algorithm using different number of processors on topologies with up to 250 nodes showed that the proposed algorithm can find all central nodes by examining less than 20% of nodes in less than 0.034 seconds.
机译:无线多跳网络是通过通过多个链路的消息进行通信的节点集合。向远程节点发送消息可以从所有中间节点中消耗一些能量。在网络中,与所有其他节点的最小距离的节点称为jordan中央节点。选择作为宿或基站的中央节点可以显着降低整体能量消耗并增加网络寿命时间。本文提出了一种新的并行算法,通过查找节点子集的BFS树来查找网络的所有中心节点。选择具有最小高度的树根作为约旦中央节点。查找每棵树后,算法消除了搜索空间的一些节点。可用的处理器在创建每棵树后,并行构建不同节点的BFS树,并在创建一棵树后消除一组不受检测的节点。使用多达250个节点的拓扑上使用不同数量的处理器的算法的实现结果表明,所提出的算法可以通过在小于0.034秒内检查小于20%的节点来找到所有中央节点。

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