Task Scheduling for Simultaneous IoT Sensing and Energy Harvesting: A Survey and Critical Analysis
Muhammad Moid Sandhu, Sara Khalifa, Raja Jurdak, Marius Portmann

TL;DR
This paper surveys task scheduling algorithms for energy harvesting IoT sensors, focusing on energy positive sensing that harvests more energy than needed, enabling sustainable and autonomous IoT operations.
Contribution
It provides a comprehensive survey and critical analysis of task scheduling for energy positive sensors, highlighting differences from conventional sensing and proposing future research directions.
Findings
Energy harvesting enables perpetual IoT sensor operation.
Energy positive sensors can harvest more energy than they consume.
Scheduling algorithms must address intermittent and unpredictable energy availability.
Abstract
The Internet of Things (IoT) has important applications in our daily lives including health and fitness tracking, environmental monitoring and transportation. However, sensor nodes in IoT suffer from the limited lifetime of batteries resulting from their finite energy availability. A promising solution is to harvest energy from environmental sources, such as solar, kinetic, thermal and radio frequency, for perpetual and continuous operation of IoT sensor nodes. In addition to energy generation, recently energy harvesters have been used for context detection, eliminating the need for additional activity sensors (e.g. accelerometers), saving space, cost, and energy consumption. Using energy harvesters for simultaneous sensing and energy harvesting enables energy positive sensing -- an important and emerging class of sensors, which harvest higher energy than required for signal acquisition…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · IoT and Edge/Fog Computing · Energy Efficient Wireless Sensor Networks
