A Link Quality and Geographical-aware Routing Protocol for Video Transmission in Mobile IoT

Rosário, Denis; Zhao, Zhongliang; Cerqueira, Eduardo; Braun, Torsten; Santos, Aldri (2013). A Link Quality and Geographical-aware Routing Protocol for Video Transmission in Mobile IoT (Technical Report IAM-13-001). Bern: Universität Bern, Institut fur Informatik und angewandte Mathematik

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Wireless mobile sensor networks are enlarging the Internet of Things (IoT) portfolio with a huge number of multimedia services for smart cities. Safety and environmental monitoring multimedia applications will be part of the Smart IoT systems, which aim to reduce emergency response time, while also predicting hazardous events. In these mobile and dynamic (possible disaster) scenarios, opportunistic routing allows routing decisions in a completely distributed manner, by using a hop- by-hop route decision based on protocol-specific characteristics, and a predefined end-to-end path is not a reliable solution. This enables the transmission of video flows of a monitored area/object with Quality of Experience (QoE) support to users, headquarters or IoT platforms. However, existing approaches rely on a single metric to make the candidate selection rule, including link quality or geographic information, which causes a high packet loss rate, and reduces the video perception from the human standpoint. This article proposes a cross-layer Link quality and Geographical-aware Opportunistic routing protocol (LinGO), which is designed for video dissemination in mobile multimedia IoT environments. LinGO improves routing decisions using multiple metrics, including link quality, geographic loca- tion, and energy. The simulation results show the benefits of LinGO compared with well-known routing solutions for video transmission with QoE support in mobile scenarios.

Item Type: Report (Report)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Lima do Rosario, Denis; Zhao, Zhongliang and Braun, Torsten
Subjects: 000 Computer science, knowledge & systems
500 Science > 510 Mathematics
Series: Technical Report IAM-13-001
Publisher: Universität Bern, Institut fur Informatik und angewandte Mathematik
Language: English
Submitter: Jonnahtan Eduardo Saltarin de Arco
Date Deposited: 12 Mar 2014 14:31
Last Modified: 03 Jan 2015 06:42
BORIS DOI: 10.7892/boris.44129
URI: http://boris.unibe.ch/id/eprint/44129

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