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Today's sensor network implementations often comprise various types of nodesconnected with different types of networks. These and various other aspectsinfluence the delay of transmitting data and therefore of out-of-order dataoccurrences. This turns into a crucial problem in time-sensitive applicationswhere data must be processed promptly and decisions must be reliable.  In this paper, we were researching dynamic buffer sizing algorithms formultiple, distributed and independent sources, which reorder event streams,thus enabling subsequent time-sensitive applications to work correctly. To beable to evaluate such algorithms, we had to record datasets first. Five noveldynamic buffer sizing algorithms were implemented and compared tostate-of-the-art approaches in this domain. The evaluation has shown that theuse of a dynamic time-out buffering method is preferable over a static buffer.The higher the variation of the network or other influences in the environment,the more necessary it becomes to use an algorithm which dynamically adapts itsbuffer size. These algorithms are universally applicable, easy to integrate inexisting architectures, and particularly interesting for time-sensitiveapplications. Dynamic time-out buffering is still a trade-off between reactiontime and out-of-order event compensation.

Dynamic Buffer Sizing for Out-of-Order Event Compensation for Time-Sensitive Applications