research-article

Achieving Efficient Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks

Authors:

Tian HeAuthors Info & Claims

IEEE/ACM Transactions on Networking (TON), Volume 24, Issue 6

Pages 3676 - 3689

https://doi.org/10.1109/TNET.2016.2549017

Published: 01 December 2016 Publication History

Abstract

Reliable flooding in wireless sensor networks WSNs is desirable for a broad range of applications and network operations. However, relatively little work has been done for reliable flooding in low-duty-cycle WSNs with unreliable wireless links. It is a challenging problem to efficiently ensure 100% flooding coverage considering the combined effects of low-duty-cycle operation and unreliable wireless transmission. In this paper, we propose a novel dynamic switching-based reliable flooding DSRF framework, which is designed as an enhancement layer to provide efficient and reliable delivery for a variety of existing flooding tree structures in low-duty-cycle WSNs. The key novelty of DSRF lies in the dynamic switching decision making when encountering a transmission failure, where a flooding tree structure is dynamically adjusted based on the packet reception results for energy saving and delay reduction. DSRF distinguishes itself from the existing works in that it explores both poor links and good links on demand. In addition, we define the optimal wakeup schedule-ranking problem in order to maximize the switching gain in DSRF. We prove the NP-completeness of this problem and present a heuristic algorithm with a low computational complexity. Through comprehensive performance comparisons, including the simulation of large-scale scenarios and small-scale experiments on a WSN testbed, we demonstrate that compared with the flooding protocol without DSRF enhancement, the DSRF effectively reduces the flooding delay and the total number of packet transmission by \(12\%{\sim }25\%\) and \(10\%{\sim }15\%\), respectively. Remarkably, the achieved performance is close to the theoretical lower bound.

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cover image IEEE/ACM Transactions on Networking

IEEE/ACM Transactions on Networking Volume 24, Issue 6

December 2016

635 pages

ISSN:1063-6692

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IEEE Press

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Published: 01 December 2016

Published in TON Volume 24, Issue 6

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Chu YMitchell PGrace DRoberts JWhite DMickus T(2023)IRISComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2023.109666225:COnline publication date: 1-Apr-2023
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Cheng LKong LSong YNiu JLuo CGu YMumtaz SHe T(2020)Adaptive Forwarding With Probabilistic Delay Guarantee in Low-Duty-Cycle WSNsIEEE Transactions on Wireless Communications10.1109/TWC.2020.298730819:7(4775-4792)Online publication date: 1-Jul-2020
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Baldesi LMaccari LLo Cigno R(2020)Infective flooding in low-duty-cycle networks, properties and boundsComputer Communications10.1016/j.comcom.2019.12.044151:C(216-226)Online publication date: 1-Feb-2020
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Jaber GKacimi RAlfredo Grieco LGayraud T(2020)An adaptive duty-cycle mechanism for energy efficient wireless sensor networks, based on information centric networking designWireless Networks10.1007/s11276-018-1823-z26:2(791-805)Online publication date: 1-Feb-2020
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