Pushing the Throughput Limit of Low-Complexity Wireless Embedded Sensing Systems

Salmani, Vahid; Chou, Pai H.

doi:10.1109/sutc.2010.31

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…In a low-duty-cycle WSN, schedule-based flooding tree synchronizes neighboring nodes in order to align their active slots for sending and receiving, which can greatly reduce idlelistening time [18], [19]. Fig.…”

Section: B Schedule-based Flooding Treementioning

confidence: 99%

Dynamic switching-based reliable flooding in low-duty-cycle wireless sensor networks

Cheng

Gü

et al. 2013

2013 Proceedings IEEE INFOCOM

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Abstract-Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations, and has been extensively investigated. However, relatively little work has been done for reliable flooding in lowduty-cycle WSNs with unreliable wireless links. It is a challenging problem to efficiently ensure 100% flooding coverage considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel dynamic switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable delivery for a variety of existing flooding tree structures in lowduty-cycle WSNs. The key novelty of DSRF lies in the dynamic switching decision making when encountering a transmission failure, where a flooding tree structure is dynamically adjusted based on the packet reception results for energy saving and delay reduction. DSRF is distinctive from existing works in that it explores both poor links and good links on demand. Through comprehensive performance comparisons, we demonstrate that, compared with the flooding protocol without DSRF enhancement, DSRF effectively reduces the flooding delay and the total number of packet transmission by 12% ∼ 25% and 10% ∼ 15%, respectively. Remarkably, the achieved performance is close to the theoretical lower bound.

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Section: B Schedule-based Flooding Treementioning

confidence: 99%

Dynamic switching-based reliable flooding in low-duty-cycle wireless sensor networks

Cheng

Gü

et al. 2013

2013 Proceedings IEEE INFOCOM

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“…Moreover, tight synchronization is difficult to achieve on low-complexity wireless motes [7]. In the presence of clock drift, most of the mentioned protocols will run into serious performance issues.…”

Section: Related Work a Mac Protocolsmentioning

confidence: 99%

“…sink). In the absence of a scheduling phase, Bin-MAC works in a round-robin style and is analogous to the scheduled contention scheme [7]. A distinguishing feature of this protocol is that the query message contains a range of node IDs instead of a single node ID.…”

Section: Design Of Bin-macmentioning

confidence: 99%

Bin-MAC: A Hybrid MAC for Ultra-compact Wireless Sensor Nodes

Salmani

Chou

2012

2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems

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This paper presents a light-weight hybrid protocol called Bin-MAC (Binary Medium Access Control) for highly resource-constrained wireless sensor nodes. In addition to simplicity and low footprint, a distinguishing feature of Bin-MAC is its deterministic contention resolution mechanism, which enables it to achieve bounded latency on data transmissions. As a result, Bin-MAC can be applied to delay-sensitive applications with real-time constraints, a feature not provide by most of the existing hybrid protocols. Another feature of the proposed protocol is that it requires carrier-sensing hardware only on the base station side, and sensor nodes do not have to possess such capability. Bin-MAC does not require clock synchronization, and thus clock drifts have no impact on its performance. Experimental results show Bin-MAC to be scalable and able to handle large network sizes without noticeable performance degradation.

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Achieving Efficient Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks

Cheng

Niu

Gü

et al. 2016

IEEE/ACM Trans. Networking

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Pushing the Throughput Limit of Low-Complexity Wireless Embedded Sensing Systems

Cited by 4 publications

References 13 publications

Dynamic switching-based reliable flooding in low-duty-cycle wireless sensor networks

Dynamic switching-based reliable flooding in low-duty-cycle wireless sensor networks

Bin-MAC: A Hybrid MAC for Ultra-compact Wireless Sensor Nodes

Achieving Efficient Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks

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