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Research Trends in Wireless Visual Sensor Networks When Exploiting Prioritization

Title
Research Trends in Wireless Visual Sensor Networks When Exploiting Prioritization
Type
Another Publication in an International Scientific Journal
Year
2015
Authors
Guedes, LA
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Portugal, P
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Title: SensorsImported from Authenticus Search for Journal Publications
Vol. 15 No. 6
Pages: 1760-1784
ISSN: 1424-3210
Publisher: MDPI
Other information
Authenticus ID: P-00A-43C
Abstract (EN): The development of wireless sensor networks for control and monitoring functions has created a vibrant investigation scenario, where many critical topics, such as communication efficiency and energy consumption, have been investigated in the past few years. However, when sensors are endowed with low-power cameras for visual monitoring, a new scope of challenges is raised, demanding new research efforts. In this context, the resource-constrained nature of sensor nodes has demanded the use of prioritization approaches as a practical mechanism to lower the transmission burden of visual data over wireless sensor networks. Many works in recent years have considered local-level prioritization parameters to enhance the overall performance of those networks, but global-level policies can potentially achieve better results in terms of visual monitoring efficiency. In this paper, we make a broad review of some recent works on priority-based optimizations in wireless visual sensor networks. Moreover, we envisage some research trends when exploiting prioritization, potentially fostering the development of promising optimizations for wireless sensor networks composed of visual sensors.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 25
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