A Low-latency Strategy with dynamic Duty-Cycle in Opportunistic Mobile Crowdsensing Scenario

In Mobile Crowdsensing Scenario (MCS), most of the mobile devices transfer data to each other relay on encounter opportunities. MCS energy consumption and latency are the key indicators of networks under the application scenarios. On one hand, the neighbor idle scanning and listening mechanism of mobile devices usually consumes the energy that could be saved. Therefore, keeping devices to work in a low duty cycle can avoid this part of energy waste effectively, but it will bring serious network latency. Aim to this, the duty cycle strategy with a lower latency strategy is focused to discuss in this paper. A method, named Low latency Duty Cycle (DC) with MSFO, is proposed to reduce network latency which mainly compares the size of data packets to be transmitted by the device. Besides, small data packets have priority in the transmission queue for enhanced network performances. Extensive simulation results show that the proposed method can significantly reduce network latency in terms of MCS with a duty cycle strategy.

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Low-Latency and Energy-Efficient Data Preservation Mechanism in Low-Duty-Cycle Sensor Networks

Sensors ◽

10.3390/s17051051 ◽

2017 ◽

Vol 17 (5) ◽

pp. 1051 ◽

Cited By ~ 4

Author(s):

Chan Jiang ◽

Tao-Shen Li ◽

Jun-Bin Liang ◽

Heng Wu

Keyword(s):

Sensor Networks ◽

Duty Cycle ◽

Energy Efficient ◽

Low Latency ◽

Data Preservation ◽

Low Duty Cycle ◽

Efficient Data

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Delay-constrained flooding in extremely low-duty-cycle sensor networks

International Journal of Distributed Sensor Networks ◽

10.1177/1550147719840225 ◽

2019 ◽

Vol 15 (3) ◽

pp. 155014771984022

Author(s):

Zuzhi Fan

Keyword(s):

Sensor Networks ◽

Duty Cycle ◽

Large Scale ◽

Power Level ◽

Transmission Power ◽

Delay Bound ◽

Data Packets ◽

Low Duty Cycle ◽

Duty Cycles ◽

Extra Energy

Flooding is a fundamental function for the network-wide dissemination of command, query, and code update in wireless sensor networks. However, it is challenging to enable fast and energy-efficient flooding in sensor networks with low-duty cycles because it is rare that multiple neighboring nodes wake up at the same time, making broadcast instinct of wireless radio unavailable. The unreliability of wireless links deteriorates the situation. In this work, we study the delay-constrained flooding problem in order to disseminate data packets to all nodes within given expected delivery delay. In particular, a transmission power control–based flooding algorithm is proposed to reduce the flooding delay in such low-duty-cycle sensor networks. According to the soft delay bound, each node can locally adjust its transmission power level. To alleviate transmission conflicts, the backoff method with transmission power adaptive mechanism has been proposed. Based on the large-scale simulations, we validate that our design can reduce flooding delay with small extra energy expenditure compared with conventional flooding schemes.

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