Date

2018-01-01

Author

Al-Turjman, Fadi

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The proliferation of wireless multimedia sensor networks has given rise to intelligent transportation systems as a mobile data-sharing model. This vision can be extended under the umbrella of the mobile Internet of Things to include versatile resources, such as smartphones, radio frequency identification tags, and sensors on roads that can be utilized in emergency situations. The facilitation of such a vision faces key challenges in terms of interoperability, resource management and energy consumption. In this paper, we propose agile data delivery framework that caters for service-based applications in smart cities where multimedia data is heavily exchanged. Optimized routing approach that operates with limited resources in highly dynamic topologies is investigated and recommended. This approach assists in specifying which path a data packet should follow in order to determine the optimal usage of the available resources while satisfying QoS constraints for a wide range of real-time multimedia applications in safety and security fields. Simulation results, which have been validated via solid analytical analysis, are used to assess and outline the efficiency of the proposed approach in terms of system throughput, energy consumption, and average end-to-end delay against other similar approaches in the literature

Subject Keywords

Routing, Quality of service (QoS), Wireless multimedia sensor networks, Intelligent transportation systems

URI

https://hdl.handle.net/11511/63839

Collections

Department of Computer Engineering, Article