Efficient fault-tolerant collision-free data aggregation scheduling for wireless sensor networks |
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Authors: | Arshad Jhumka Matthew Bradbury Sain Saginbekov |
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Affiliation: | Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK |
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Abstract: | This paper investigates the design of fault-tolerant TDMA-based data aggregation scheduling (DAS) protocols for wireless sensor networks (WSNs). DAS is a fundamental pattern of communication in wireless sensor networks where sensor nodes aggregate and relay data to a sink node. However, any such DAS protocol needs to be cognisant of the fact that crash failures can occur. We make the following contributions: (i) we identify a necessary condition to solve the DAS problem, (ii) we introduce a strong and weak version of the DAS problem, (iii) we show several impossibility results due to the crash failures, (iv) we develop a modular local algorithm that solves stabilising weak DAS and (v) we show, through simulations and an actual deployment on a small testbed, how specific instantiations of parameters can lead to the algorithm achieving very efficient stabilisation. |
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Keywords: | Wireless sensor networks Data aggregation scheduling Fault tolerance Crashes Collision freedom Impossibility Correctness |
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