Efficient Distribution of Visual Processing Tasks in Multi-camera Visual Sensor Networks
2015 (English)In: Multimedia & Expo Workshops (ICMEW), 2015 IEEE International Conference on, IEEE conference proceedings, 2015, 1-6 p.Conference paper (Refereed)
Multi-camera visual sensor networks (VSNs) require large computational resources in order to perform visual analysis in real-time. One way to match the computational needs is to augment the VSN with dedicated processing nodes that do in-network processing, but this requires careful allocation of loads from the sensor nodes in order to ensure low processing times. In this paper we formulate the problem of load allocation and completion time minimization in a VSN as an optimization problem. We propose a distributed algorithm for load allocation, and evaluate its performance in terms of completion time and convergence compared to a Greedy algorithm. Simulations show that the proposed algorithm converges faster, but at the cost of increased completion times. Nonetheless, combined with appropriate coordination, the proposed algorithm achieves low completion times at low complexity.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 1-6 p.
, IEEE International Conference on Multimedia and Expo Workshops, ISSN 2330-7927
Visual feature extraction, Sensor networks, Divisible load theory, Distributed optimization
IdentifiersURN: urn:nbn:se:kth:diva-179048DOI: 10.1109/ICMEW.2015.7169817ISI: 000380531100077ScopusID: 2-s2.0-84945550343ISBN: 978-1-4799-7079-7OAI: oai:DiVA.org:kth-179048DiVA: diva2:880589
IEEE ICME Workshop on Distributed and Cooperative Visual Representation and Analysis (DCVRA),June 29 2015-July 3 2015, Turin, Italy
QC 201601082015-12-092015-12-092016-09-05Bibliographically approved