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Multi-Axis Projection Based Giant Component Formation in Random Unit-Disk Graphs

Multi-Axis Projection Based Giant Component Formation in Random Unit-Disk Graphs
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摘要 This paper proposes a multi-axis projection (MAP) based giant component formation strategy via the Maximal Independent Set (MIS) in a random unit-disk graph. We focus on the problem of virtual backbone construction in wireless ad hoc and sensor networks, where the coverage areas of the nodes are disks with identical radii. In the simulation, we show that the MAP-based giant component has the ability to connect most nodes and serves as a backbone in the network. The algorithm is localized and may play an important role in efficiently constructing a virtual backbone for ad hoc and sensor networks. This paper proposes a multi-axis projection (MAP) based giant component formation strategy via the Maximal Independent Set (MIS) in a random unit-disk graph. We focus on the problem of virtual backbone construction in wireless ad hoc and sensor networks, where the coverage areas of the nodes are disks with identical radii. In the simulation, we show that the MAP-based giant component has the ability to connect most nodes and serves as a backbone in the network. The algorithm is localized and may play an important role in efficiently constructing a virtual backbone for ad hoc and sensor networks.
出处 《Tsinghua Science and Technology》 SCIE EI CAS 2011年第5期553-558,共6页 清华大学学报(自然科学版(英文版)
基金 Supported by the National Natural Science Foundation of China(No. 60903055) the China Postdoctoral Science Foundation Funded Project (No. 20080430776) the National Basic Research and Development (973) Program of China (No. 2011CB302905)
关键词 ad hoc and sensor networks maximal independent set giant component ad hoc and sensor networks maximal independent set giant component
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