Efficient Scheduling for Sensing and Data Reporting in Wireless Sensor Networks

This paper considers an innovative scheduling strategy in which a control processor assigns a load share to be measured by each of N processors organized in a single level tree (star) wireless sensors network. Here processors begin to sense as soon as receiving their own load share assignment rather than waiting for all processors to receive their assignments as done in previous research works. This strategy has the potential to reduce solution time (make span) significantly. We find an analytical expression for optimal load assignment and finish time which is simple to compute and can be implemented in real time. I. INTRODUCTION.