Abstract
In practical wireless multimedia sensor networks, efficient utilization of available resources is very critical. However, in dense networks with randomly deployed camera nodes, it is very likely that the fields of view of spatially proximal camera nodes would be highly correlated as the views among these nodes are overlapped. This causes the nodes to send redundant information, wasting network resources. This paper proposes a novel geometrical correlation model to estimate the correlation characteristics among randomly deployed heterogeneous camera nodes. The proposed model is mathematically analyzed and a closed-form analytical correlation function is provided. The results demonstrate that the proposed model is appropriate for applications with heterogeneous camera nodes being deployed in a random manner and it can also be efficiently used in applications that require a bounded distortion-based camera selection strategy. That is, selecting the minimum number of nodes that deliver the maximum amount of information with the least distortion.
| Original language | English |
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| Title of host publication | Proceedings - EUROCON 2015 |
| Editors | Manuel Grana, Emilio Corchado, Jesus Fraile-Ardanuy, Hector Quintian, Athanasios Kakarountas, Jan Haase, Carl James Debono |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479985692 |
| DOIs | |
| State | Published - 30 Oct 2015 |
| Externally published | Yes |
| Event | International Conference on Computer as a Tool, IEEE EUROCON 2015 - Salamanca, Spain Duration: 8 Sep 2015 → 11 Sep 2015 |
Publication series
| Name | Proceedings - EUROCON 2015 |
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Conference
| Conference | International Conference on Computer as a Tool, IEEE EUROCON 2015 |
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| Country/Territory | Spain |
| City | Salamanca |
| Period | 8/09/15 → 11/09/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- heterogeneous cameras
- joint entropy
- random deployment
- spatial correlation
- wireless multimedia sensor networks
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering