A Mobile Sink-Based Reliable Data Collection Algorithm in Banded Wireless Sensor Network

In banded wireless sensor network, data collection from the application of event monitoring has superior performance requirements on the time delay and reliability. In the paper, a Data Collection Algorithm based on Forwarding of Agent Nodes (DCAFAN) is proposed. The proposed algorithm constructs the upper-layer network infrastructure, it consists of a line node sequence and an agent node queue. In proposed algorithm, the monitoring nodes sense the interest events, obtain the location information about the tracking agent node through the line node sequence, and finally transmit the sensed data to the sink through the agent node queue. Finally, DCAFAN is compared with other similar algorithms, experimental results show that DCAFAN can ensure good delay and reliability of data collection, while reducing average energy consumption of network nodes.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/icccs65393.2025.11069610
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
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article

A Mobile Sink-Based Reliable Data Collection Algorithm in Banded Wireless Sensor Network

YuLao Han
Energy Efficient Wireless Sensor Networks
article

A Mobile Sink-Based Reliable Data Collection Algorithm in Banded Wireless Sensor Network

YuLao Han
article en

Abstract

In banded wireless sensor network, data collection from the application of event monitoring has superior performance requirements on the time delay and reliability. In the paper, a Data Collection Algorithm based on Forwarding of Agent Nodes (DCAFAN) is proposed. The proposed algorithm constructs the upper-layer network infrastructure, it consists of a line node sequence and an agent node queue. In proposed algorithm, the monitoring nodes sense the interest events, obtain the location information about the tracking agent node through the line node sequence, and finally transmit the sensed data to the sink through the agent node queue. Finally, DCAFAN is compared with other similar algorithms, experimental results show that DCAFAN can ensure good delay and reliability of data collection, while reducing average energy consumption of network nodes.

Panzhihua University (CN)
Affordable and clean energy
Openalex Percentile: Top 81%
Energy Efficient Wireless Sensor Networks
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