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Sensors 2017, 17(5), 1051;

Low-Latency and Energy-Efficient Data Preservation Mechanism in Low-Duty-Cycle Sensor Networks

School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China
Department of Computer Science, College of Engineering, Texas Tech University, Lubbock, TX 79409, USA
Author to whom correspondence should be addressed.
Academic Editors: Yuanyuan Yang and Songtao Guo
Received: 22 February 2017 / Revised: 30 April 2017 / Accepted: 2 May 2017 / Published: 6 May 2017
(This article belongs to the Special Issue Wireless Rechargeable Sensor Networks)
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Similar to traditional wireless sensor networks (WSN), the nodes only have limited memory and energy in low-duty-cycle sensor networks (LDC-WSN). However, different from WSN, the nodes in LDC-WSN often sleep most of their time to preserve their energies. The sleeping feature causes serious data transmission delay. However, each source node that has sensed data needs to quickly disseminate its data to other nodes in the network for redundant storage. Otherwise, data would be lost due to its source node possibly being destroyed by outer forces in a harsh environment. The quick dissemination requirement produces a contradiction with the sleeping delay in the network. How to quickly disseminate all the source data to all the nodes with limited memory in the network for effective preservation is a challenging issue. In this paper, a low-latency and energy-efficient data preservation mechanism in LDC-WSN is proposed. The mechanism is totally distributed. The data can be disseminated to the network with low latency by using a revised probabilistic broadcasting mechanism, and then stored by the nodes with LT (Luby Transform) codes, which are a famous rateless erasure code. After the process of data dissemination and storage completes, some nodes may die due to being destroyed by outer forces. If a mobile sink enters the network at any time and from any place to collect the data, it can recover all of the source data by visiting a small portion of survived nodes in the network. Theoretical analyses and simulation results show that our mechanism outperforms existing mechanisms in the performances of data dissemination delay and energy efficiency. View Full-Text
Keywords: low-duty-cycle sensor networks; data preservation; data dissemination; latency; energy efficiency low-duty-cycle sensor networks; data preservation; data dissemination; latency; energy efficiency

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Jiang, C.; Li, T.-S.; Liang, J.-B.; Wu, H. Low-Latency and Energy-Efficient Data Preservation Mechanism in Low-Duty-Cycle Sensor Networks. Sensors 2017, 17, 1051.

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