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Authors
Advisor(s)
Abstract(s)
We consider the problem of data collection from a network of energy harvesting sensors, applied to tracking mobile assets
in rural environments. Our application constraints favor a fair and energy-aware solution, with heavily duty-cycled sensor nodes
communicating with powered base stations. We study a novel scheduling optimization problem for energy harvesting mobile sensor
network, that maximizes the amount of collected data under the constraints of radio link quality and energy harvesting efficiency, while
ensuring a fair data reception. We show that the problem is NP-complete and propose a heuristic algorithm to approximate the optimal
scheduling solution in polynomial time. Moreover, our algorithm is flexible in handling progressive energy harvesting events, such as
with solar panels, or opportunistic and bursty events, such as with Wireless Power Transfer. We use empirical link quality data, solar
energy, and WPT efficiency to evaluate the proposed algorithm in extensive simulations and compare its performance to state-of-theart.
We show that our algorithm achieves high data reception rates, under different fairness and node lifetime constraints.
Description
Keywords
Link scheduling Optimization Fairness Energy harvesting Mobile sensor network