@inproceedings{b62bc0ede92a46f692cfc31fbd4be73c,
title = "κ-FSOM: fair link scheduling optimization for energy-aware data collection in mobile sensor networks",
abstract = "We consider the problem of data collection from a continental-scale network of mobile sensors, specifically applied to wildlife tracking. Our application constraints favor a highly asymmetric solution, with heavily duty-cycled sensor nodes communicating with a network of powered base stations. Individual nodes move freely in the environment, resulting in low-quality radio links and hot-spot arrival patterns with the available data exceeding the radio link capacity. We propose a novel scheduling algorithm, κ-Fair Scheduling Optimization Model (κ-FSOM), that maximizes the amount of collected data under the constraints of radio link quality and energy, while ensuring a fair access to the radio channel. We show the problem is NP-complete and propose a heuristic to approximate the optimal scheduling solution in polynomial time. We use empirical link quality data to evaluate the κ-FSOM heuristic in a realistic setting and compare its performance to other heuristics. We show that κ-FSOM heuristic achieves high data reception rates, under different fairness and node lifetime constraints.",
keywords = "Link scheduling, Optimization, Fairness, Energy, Mobile Sensor Network",
author = "Kai Li and Branislav Kusy and Raja Jurdak and Aleksandar Ignjatovic and Kanhere, {Salil S.} and Sanjay Jha",
year = "2014",
doi = "10.1007/978-3-319-04651-8_2",
language = "English",
isbn = "9783319046501",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "17--33",
editor = "Bhaskar Krishnamachari and Murphy, {Amy L.} and Niki Trigoni",
booktitle = "Wireless Sensor Networks",
address = "United States",
note = "11th European Conference on Wireless Sensor Networks, EWSN 2014 ; Conference date: 17-02-2014 Through 19-02-2014",
}