frontmatter 
title: Online Allocation of Sensing and Computation in Large Graphs
venue: IEEE CIC 2023 - International Conference on Collaboration and Internet Computing
doi: 10.1109/CIC58953.2023.00014
date: 2023-11-01
authors:
  - Xinlin Li
  - Merve Karakas
  - Osama A Hanna
  - Mehrdad Kiamari
  - "[[Jared Coleman]]"
  - Christina Fragouli
  - Bhaskar Krishnamachari
  - Gunjan Verma
links:
  - https://ieeexplore.ieee.org/document/10429929
abstract: |
  We consider vehicle tracking over a large territory equipped with sensors and computational units, and propose online resource allocation algorithms that decide which sensor nodes to activate, and on which computational units to perform the corresponding tracking tasks. We show through numerical evaluation that our approach can notably outperform state of art algorithms in terms of delay, communication cost, and the number of required sensor measurements.
tags:
  - distributed-computing
  - internet-of-things

Online Allocation of Sensing and Computation in Large Graphs

Xinlin Li, Merve Karakas, Osama A Hanna, Mehrdad Kiamari, Jared Coleman, Christina Fragouli, Bhaskar Krishnamachari, Gunjan Verma

IEEE CIC 2023 - International Conference on Collaboration and Internet Computing · November 1, 2023 · doi:10.1109/CIC58953.2023.00014 · IEEE

Abstract

We consider vehicle tracking over a large territory equipped with sensors and computational units, and propose online resource allocation algorithms that decide which sensor nodes to activate, and on which computational units to perform the corresponding tracking tasks. We show through numerical evaluation that our approach can notably outperform state of art algorithms in terms of delay, communication cost, and the number of required sensor measurements.

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