Building Effective Scheduling Algorithms for Sensor Networks

Abstract

In wireless sensor networks, some sensor nodes can switch to a sleep state to conserve energy if their neighbors can provide similar sensing coverage. In reality, when more sensor nodes sleep, a sensor network's coverage may degrade. In this paper, we evaluate the coverage-aware sleep scheduling algorithm in areas with uneven event distributions and study its performance on event detection rate and event detection delay. There are two major improvements in this paper: first, we add the components of event generator into this paper and collect data on event detection rate and event detection delay. Second, we analyze sleep probability and energy consumption for coverage-aware sleep scheduling algorithm. Compared with randomized deployment strategy, the density adaptive deployment performs better on event detection delay and event detection rate.