Run-Time Schedule Adaptation Methods for Sensor Networks Coverage Problem

Abstract

In this paper, we study run-time adaptation methods of a schedule of sensor activity generated for ideal temperature conditions. Such a schedule cannot be completed in low-temperature conditions due to a shorter lifetime of sensor batteries. We proposed several methods of selecting the next slot to be executed when the currently scheduled slot is unfeasible. Our experiments showed that in most cases, the best method is the one selecting the next slot based on computing the mean and standard deviation values of the battery load level for all the sensors active in a given slot.