Characterization of Field-of-View for Energy Efficient Application-Aware Visual Sensor Networks

Amjad, Anas and Patwary, Mohammad and Griffiths, Alison and Soliman, Abdel-Hamid (2016) Characterization of Field-of-View for Energy Efficient Application-Aware Visual Sensor Networks. IEEE Sensors Journal, 16 (9). pp. 3109-3122. ISSN 1530-437X

Characterisation of field of view.pdf - Accepted Version

Download (7MB)


Energy consumption is one of the primary concerns in a resource-constrained visual sensor network (VSN). The existing VSN design solutions under particular resource-constrained scenarios are application specific, whereas the degree of sensitivity of the resource constraints varies from one application to another. This limits the implementation of the existing energy efficient solutions within a VSN node, which may be considered to be a part of a heterogeneous network. The heterogeneity of image capture and processing within a VSN can be adaptively reflected with a dynamic field-of-view (FoV) realization. This is expected to allow the implementation of a generalized energy efficient solution to adapt with the heterogeneity of the network. In this paper, an energy efficient FoV characterization framework is proposed, which can support a diverse range of applications. The context of adaptivity in the proposed FoV characterization framework is considered to be: 1) sensing range selection; 2) maximizing spatial coverage; 3) adaptive task classification; and 4) minimizing the number of required nodes. Soft decision criteria is exploited, and it is observed that for a given detection reliability, the proposed framework provides energy efficient solutions, which can be implemented within heterogeneous networks. It is also found that the proposed design solution for heterogeneous networks leads to 49.8% energy savings compared with the trivial design solution.

Item Type: Article
Additional Information: (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Identification Number:
21 January 2016Accepted
28 January 2016Published Online
Uncontrolled Keywords: Sensor phenomena and characterization, Visualization, Three-dimensional displays, Heterogeneous networks, Wireless sensor networks, Feature extraction
Subjects: CAH11 - computing > CAH11-01 - computing > CAH11-01-01 - computer science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Ian Mcdonald
Date Deposited: 07 Mar 2017 10:15
Last Modified: 22 Mar 2023 12:01

Actions (login required)

View Item View Item


In this section...