Benchmarking Latency Effects on Mobility Tracking in WSNs

The number of active nodes in a WSN deployment governs both the longevity of the network and the accuracy of applications using the network's data. As node hibernation techniques become more sophisticated, it is important that an accurate evaluation methodology is employed to ensure fair comparisons across different techniques. Examining both energy and accuracy ensures a claim of increased longevity can be contrasted against its associated drop, if any, in application accuracy. This change can also be as a result of increased latency and the accuracy encapsulates many aspects of WSN performance in one metric. In this work, we detail the first in a series of experiments designed to demonstrate WSN trade offs using a mobility tracking application to benchmark accuracy. Additionally, we demonstrate experimental evidence for a potential adaptive mobility tracking protocol.