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

Abstract

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.