A Survey on Multimedia-Based Cross-Layer Optimization in Visual Sensor Networks

• Type: Another Publication in an International Scientific Journal
• Date: 2011

Authors

Costa, DG (Author) Other; Guedes, LA (Author) Other

Journal

Title: Sensors

Vol. 11

Pages: 5439-5468

ISSN: 1424-3210

Publisher: MDPI

Indexing

ISI Web of Knowledge - 41 Citations

Scopus - 55 Citations

Other information

Authenticus ID: P-00W-KR4

DOI: 10.3390/s110505439

Abstract (EN): Visual sensor networks (VSNs) comprised of battery-operated electronic devices endowed with low-resolution cameras have expanded the applicability of a series of monitoring applications. Those types of sensors are interconnected by ad hoc error-prone wireless links, imposing stringent restrictions on available bandwidth, end-to-end delay and packet error rates. In such context, multimedia coding is required for data compression and error-resilience, also ensuring energy preservation over the path(s) toward the sink and improving the end-to-end perceptual quality of the received media. Cross-layer optimization may enhance the expected efficiency of VSNs applications, disrupting the conventional information flow of the protocol layers. When the inner characteristics of the multimedia coding techniques are exploited by cross-layer protocols and architectures, higher efficiency may be obtained in visual sensor networks. This paper surveys recent research on multimedia-based cross-layer optimization, presenting the proposed strategies and mechanisms for transmission rate adjustment, congestion control, multipath selection, energy preservation and error recovery. We note that many multimedia-based cross-layer optimization solutions have been proposed in recent years, each one bringing a wealth of contributions to visual sensor networks. © 2011 by the authors; licensee MDPI, Basel, Switzerland.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 30