Abstract

The lifetime of wireless sensor networks can be improved by imposing low duty cycle, but doing so could not solve unbalanced energy consumption and will increase transmission latency. To avoid this, this paper gives a new method to collect data by mobile sink. The proper data collection route is selected according to the sink speed and buffer size of the sensors. The sensors only wake up when the sink approaches them. When certain sensors detect an emergency, the sink catches the message quickly and moves to the hotspot to decrease message relay in the network. The result of simulation by OPNET shows that this protocol can reduce transmission data in the network and prolong the network lifetime.

Highlights

  • Wireless sensor networks (WSNs) have attracted a great deal of attention in both academia and industry in recent years

  • We present a novel mobile sink routing strategy for routine tasks which can optimize the energy consumption of sensors and prolong network lifetime

  • This paper presents an energy-efficient data collection method applicable to Low duty cycle (LDC)-WSNs

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Summary

Introduction

Wireless sensor networks (WSNs) have attracted a great deal of attention in both academia and industry in recent years. In effort to resolve problems such as energy hole and to balance energy consumption across the network to maximize lifetime, more sensors can be placed around sink node and the sensors scheduled to work alternately [1] Low duty cycle (LDC) protocol lets the node enter sleep mode when it is idle to reduce the energy consumption of the communication module [5] It increases the latency of neighbor discovery and transmission delay. Due to the long neighbor discovery time in LDC-WSNs, data accumulation is likely to occur when data bursts occur in the network This causes network congestion resulting in data loss, increased transmission delay and reduced network lifetime. We present a novel mobile sink routing strategy for routine tasks which can optimize the energy consumption of sensors and prolong network lifetime.

Network Model
Data Collection Strategy
Strategy for Emergency
Strategy with Sufficient Energy
Strategy with Insufficient Energy
Simulation
Effect of Data Collection Rate
Energy Consumption in Routine Task
Network Status in Emergencies
Conclusions
Full Text
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