Data-gathering wireless sensor networks: organization and capacity
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Multicast capacity of wireless ad hoc networks
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Compressive data gathering for large-scale wireless sensor networks
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Impacts of Topology and Traffic Pattern on Capacity of Hybrid Wireless Networks
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Order-optimal data collection in wireless sensor networks: delay and capacity
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Capacity of data collection in arbitrary wireless sensor networks
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ICDCS '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems
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Multicast capacity of wireless ad hoc networks under Gaussian channel model
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Delay efficient data gathering in sensor networks
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IEEE/ACM Transactions on Networking (TON)
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Data collection is a common operation of wireless sensor networks (WSNs). The performance of data collection can be measured by its achievable network capacity. However, most existing works focus on the network capacity of unicast, multicast or/and broadcast. In this article, we study the snapshot/continuous data collection (SDC/CDC) problem under the physical interference model for randomly deployed dense WSNs. For SDC, we propose a Cell-Based Path Scheduling (CBPS) algorithm based on network partitioning. Theoretical analysis shows that its achievable network capacity is order-optimal. For CDC, a novel Segment-Based Pipeline Scheduling (SBPS) algorithm is proposed which combines the pipeline technique and the compressive data gathering technique. Theoretical analysis shows that SBPS significantly speeds up the CDC process and achieves a high network capacity.