Delay-Driven Routing for Low-Duty-Cycle Sensor Networks

Fan, Zuzhi

doi:10.1155/2013/198283

Cited by 7 publications

(4 citation statements)

References 29 publications

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“…Expected sleep latency (ESL) [23]: A novel delay‐driven routing algorithm for low‐duty‐cycle WSNs to find optimal forwarder based on loss link to reduce delivery delay for source‐to‐sink communication.…”

Section: Simulationmentioning

confidence: 99%

Delay‐aware data collecting protocol for low‐duty‐cycle wireless sensor networks

Yang

2018

IET Networks

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Duty-cycled technology has been introduced as an efficient way to preserve node energy and prolong network lifetime for wireless sensor networks (WSNs). However, many applications with real-time feature require that some message must be sent to the sink node within a limited time. The authors propose a novel data collecting scheme-MTDR which aims to minimise transmission delay in low-duty-cycle WSNs. In MTDR, all the nodes are assigned to the corresponding levels according to the hop count to the sink node, and calculate their minimum transmission delay to the sink node based on the shortest path structure. Finally, simulation results show that their proposed algorithm can achieve better performance compared with some related works.

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Section: Simulationmentioning

confidence: 99%

Delay‐aware data collecting protocol for low‐duty‐cycle wireless sensor networks

Yang

2018

IET Networks

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“…Assuming two candidates wake up at the same time, the nearer one would be selected as next hop. In real scenario with unreliable links, we can evaluate delivery delay according to the model proposed in [21].…”

Section: Delay-based Routingmentioning

confidence: 99%

Energy Synchronized Transmission Control for Energy-harvesting Sensor Networks

Fan

Liu²

2016

INT J COMPUT COMMUN

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Energy harvesting and recharging techniques have been regarded as a promising solution to ensure sustained operations of wireless sensor networks for longterm applications. To deal with the diversity of energy harvesting and constrained energy storage capability, sensor nodes in such applications usually work in a duty-cycled mode. Consequently, the sleep latency brought by duty-cycled operation is becoming the main challenge. In this work, we study the energy synchronization control problem for such sustainable sensor networks. Intuitively, energy-rich nodes can increase their transmission power in order to improve network performance, while energy-poor nodes can lower transmission power to conserve its precious energy resource. In particular, we propose an energy synchronized transmission control scheme (ESTC) by which each node adaptively selects suitable power levels and data forwarders according to its available energy and traffic load. Based on the large-scale simulations, we validate that our design can improve system performance under different network settings comparing with common uniform transmission power control strategy. Specially, ESTC can enable the perpetual operations of nodes without sacrificing the network lifetime.

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“…At first, we assume that the wireless links are perfect in above sections, which is not always true in the real scenarios. In the case, we can use the metric presented in [17] to calculate the expected delay with unreliable link model. On the other hand, it is easy to extend our design to support multiple wake-ups during one period.…”

Section: Minimum Delay Query Algorithmmentioning

confidence: 99%