Download harvesting-aware energy management for time

HARVESTING-AWARE ENERGY MANAGEMENT FOR TIMECRITICAL WIRELESS SENSOR NETWORKS WITH JOINT
VOLTAGE AND MODULATION SCALING
Abstract
As Cyber-Physical-Systems (CPSs) evolve they will be increasingly relied on to support
time-critical and performance-intensive monitoring and control activities. Further, many
CPSs that utilize Wireless Sensor Networking (WSN) technologies will require the use of
energy harvesting methods to extend their lifetimes. For this application class, there are
currently few algorithmic techniques that combine performance sensitive processing and
communication with efficient management techniques for energy harvesting. Our paper
addresses this problem. We first propose a general purpose, multihop WSN architecture
capable of supporting time-critical CPS systems using energy harvesting. We then
present a set of Harvesting Aware Speed Selection (HASS) algorithms. Our technique
maximizes the minimum energy reserve for all the nodes in the network, thus ensuring
highly resilient performance under emergency or fault-driven situations. We present an
optimal centralized solution, along with an efficient, distributed solution. We propose a
CPS-specific experimental methodology, enabling us to evaluate our approach. Our
experiments show that our algorithms yield significantly higher energy reserves than
baseline methods.