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Dynamic switching-based reliable flooding in low-duty-cycle wireless sensor networks

Published: 06 November 2012 Publication History

Abstract

Reliable flooding in wireless sensor networks (WSNs) is desirable for a broad range of applications and network operations. However, it is a challenging problem to ensure 100% flooding coverage efficiently considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this work, we propose a novel dynamic switching-based reliable flooding (DSRF) framework, which is designed as an enhancement layer to provide efficient and reliable flooding over a variety of existing flooding tree structures in low-duty-cycle WSNs. Through comprehensive simulations, we demonstrate that DSRF can effectively improve both flooding energy efficiency and latency.

Reference

[1]
G. Shuo, S. M. Kim, T. Zhu, Y. Gu, and T. He. Correlated flooding in low-duty-cycle wireless sensor networks. ICNP '11, 2011.

Cited By

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  • (2021)Energy-collision-aware Minimum Latency Aggregation Scheduling for Energy-harvesting Sensor NetworksACM Transactions on Sensor Networks10.1145/346101317:4(1-34)Online publication date: 16-Jul-2021
  • (2016)Synchronous Rendezvous Based on Cluster in Low-Duty-Cycle Wireless Sensor NetworkCybernetics and Information Technologies10.1515/cait-2016-005516:5(88-96)Online publication date: 20-Oct-2016

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cover image ACM Conferences
SenSys '12: Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
November 2012
404 pages
ISBN:9781450311694
DOI:10.1145/2426656

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2012

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  • (2021)Energy-collision-aware Minimum Latency Aggregation Scheduling for Energy-harvesting Sensor NetworksACM Transactions on Sensor Networks10.1145/346101317:4(1-34)Online publication date: 16-Jul-2021
  • (2016)Synchronous Rendezvous Based on Cluster in Low-Duty-Cycle Wireless Sensor NetworkCybernetics and Information Technologies10.1515/cait-2016-005516:5(88-96)Online publication date: 20-Oct-2016

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