•   When: Friday, September 09, 2016 from 01:00 PM to 02:00 PM
•   Speakers: Maryam Bandari
•   Location: Nguyen Engineering, Room 4801
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Abstract

Wireless Sensor Networks (WSNs) provide key infrastructural support for many environmental monitoring and Internet-of-things applications. Due to resource constrains highly efficient energy management policies are essential to the successful deployment of WSN systems. My research explores techniques for processor and transmission settings and task scheduling policies that save energy while maintaining required performance levels. My specific contributions are in three distinct areas. First, from the perspective of a single node, I use both Dynamic Voltage Scaling (DVS) and Dynamic Modulation Scaling (DMS) to reduce energy consumption while maintaining specified application performance. Second, using DMS I consider how to coordinate the transmission schedules of clusters of WSN nodes to achieve both performance and energy savings objectives. Finally, using a stochastic energy harvesting model, I propose the use of task skipping in a way that ensures both energy neutrality and the satisfaction of application level QoS requirements.