Deadline-aware wireless sensor network routing: The JLAT metric
Murat Gursu, Wolfgang Kellerer · 2017
Multiple routing metrics have been proposed for maximizing throughput or guaranteeing reliable delivery of the data. Some of the most common used metrics, neglect the bursty behavior of the channel. A new metric improve this by taking burstiness into account. This creates a burst estimation of all links and allocates the maximum number of required slots in worst-case. Even though this is a solution for the worst-case scenario, this pessimistic approach cannot achieve the performance for applications with low deadline applications. In order to close the gap between these two metrics we propose a new routing metric called Joint LATency (JLAT). We use a better understanding of the bursts with respect to specific application deadlines via joint probability distributions of the link latencies. We show that the proposed metric achieves the expected trade-off for maximal throughput and burst consideration in order to deliver a routing decision depending on the application deadline requirement. We support this claim via simulations in an exemplary scenario.