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Trail-Based Search for Efficient Event Report to Mobile Actors in Wireless Sensor and Actor Networks
Zhezhuang Xu1, Guanglun Liu2, Haotian Yan3
1School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China. zzxu@fzu.edu.cn.
Sensors (Basel, Switzerland)
|October 28, 2017
Summary
This study introduces a trail-based search (TS) strategy for wireless sensor networks. TS efficiently locates mobile actors by using their movement trails, significantly reducing energy consumption and search delays compared to existing methods.
Area of Science:
- Wireless Sensor Networks
- Network Protocols
- Distributed Systems
Background:
- Mobile actors in wireless sensor networks have unpredictable locations.
- Existing search strategies incur high energy consumption and delay due to actor mobility.
- Efficiently locating mobile actors is crucial for mission execution.
Purpose of the Study:
- To propose a novel trail-based search (TS) strategy for wireless sensor and actor networks.
- To leverage actor mobility for improved search efficiency and reduced resource consumption.
- To address the limitations of existing search methods in dynamic network environments.
Main Methods:
- Developed the trail-based search (TS) strategy, utilizing actor-generated footprints to form a trail.
- Derived conditions for guaranteeing trail connectivity.
- Proposed a redundancy reduction scheme (TS-R) to optimize transmission.
- Conducted theoretical and numerical analysis to validate the strategy.
Main Results:
- The TS strategy effectively utilizes actor mobility to guide search packets.
- TS significantly reduces energy consumption compared to Expanding Ring Search (ERS).
- TS demonstrably lowers search delay in wireless sensor networks.
- The TS-R scheme effectively minimizes redundant transmissions.
Conclusions:
- The proposed trail-based search (TS) strategy offers a superior solution for locating mobile actors in wireless sensor networks.
- TS provides a significant improvement in energy efficiency and reduced latency.
- The strategy is robust and adaptable to the dynamic nature of actor movements.
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