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visualisation performance by continuously updating the application domain model in a distributed manner. Finally, a distributed self-adaptation function is proposed with the goal of saving more power and generating more accurate data visualisation. We conduct comprehensive experimentation to evaluate the performance of our mapping service and show that it achieves low communication overhead, produces maps of high fidelity, and further minimises the mapping predictive error dynamically throughdoi:10.3390/s150922970 pmid:26378539 pmcid:PMC4610589 fatcat:mz4h3zhghrd6vjp77ddgincage