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LPTA: location predictive and time adaptive data gathering scheme with mobile sink for wireless sensor networks
Chuan Zhu1, Yao Wang1, Guangjie Han1
1College of Internet of Things Engineering, Hohai University, Changzhou 213022, China.
This study introduces a mobile sink strategy for wireless sensor networks (WSNs) to extend network lifetime and reduce data delay. The proposed scheme uses location prediction and adaptive dwelling times for efficient data gathering.
Area of Science:
- Computer Science
- Wireless Sensor Networks
- Networking
Background:
- Wireless Sensor Networks (WSNs) face challenges in prolonging network lifetime and minimizing data transmission delay.
- Efficient data gathering is crucial for the functionality of WSNs.
Purpose of the Study:
- To propose a novel data gathering scheme that exploits sink mobility to enhance WSN lifetime.
- To maintain low data transmission delay while extending the operational period of sensor networks.
Main Methods:
- A location predictive and time adaptive data gathering scheme is introduced.
- Sink location is predicted using loose time synchronization and derived time-location formulas.
- Nodes calculate the mobile sink's location and route data via multihop relay.
- An adaptive dwelling time adjustment method balances energy consumption.
Main Results:
- The proposed scheme effectively prolongs the lifetime of sensor networks.
- Data transmission delay is maintained at a relatively low level.
- Energy consumption is balanced among network nodes, improving overall network efficiency.
Conclusions:
- Sink mobility, combined with predictive location and adaptive time strategies, offers a viable solution for extending WSN lifetime.
- The developed scheme balances network longevity with efficient, low-latency data delivery.
- Adaptive dwelling time is key to managing energy resources across the network.
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