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Sensors 2016, 16(6), 835;

A Power-Efficient Clustering Protocol for Coal Mine Face Monitoring with Wireless Sensor Networks Under Channel Fading Conditions

School of Information & Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China
Author to whom correspondence should be addressed.
Academic Editors: Ingrid Moerman, Jeroen Hoebeke and Eli De Poorter
Received: 12 February 2016 / Revised: 24 May 2016 / Accepted: 31 May 2016 / Published: 7 June 2016
(This article belongs to the Special Issue Intelligent Internet of Things (IoT) Networks)
Full-Text   |   PDF [4514 KB, uploaded 7 June 2016]   |  


This study proposes a novel power-efficient and anti-fading clustering based on a cross-layer that is specific to the time-varying fading characteristics of channels in the monitoring of coal mine faces with wireless sensor networks. The number of active sensor nodes and a sliding window are set up such that the optimal number of cluster heads (CHs) is selected in each round. Based on a stable expected number of CHs, we explore the channel efficiency between nodes and the base station by using a probe frame and the joint surplus energy in assessing the CH selection. Moreover, the sending power of a node in different periods is regulated by the signal fade margin method. The simulation results demonstrate that compared with several common algorithms, the power-efficient and fading-aware clustering with a cross-layer (PEAFC-CL) protocol features a stable network topology and adaptability under signal time-varying fading, which effectively prolongs the lifetime of the network and reduces network packet loss, thus making it more applicable to the complex and variable environment characteristic of a coal mine face. View Full-Text
Keywords: WSNs; power-efficient; clustering; channel fading; cross layer WSNs; power-efficient; clustering; channel fading; cross layer

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Ren, P.; Qian, J. A Power-Efficient Clustering Protocol for Coal Mine Face Monitoring with Wireless Sensor Networks Under Channel Fading Conditions. Sensors 2016, 16, 835.

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