Energy efficient and perceived QoS aware video routing over Wireless Multimedia Sensor Networks |
| |
| Authors: | Dionisis Kandris Michail Tsagkaropoulos Ilias Politis Anthony Tzes Stavros Kotsopoulos |
| |
| Affiliation: | 1. Dept. of Electronics, Technological Educational Institute of Athens, 12210, Greece;2. Dept. of Electrical & Computer Engineering, University of Patras, 26500, Greece;1. Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing 100081, China;2. Key Laboratory of Electronics and Information Technology for Space System, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China;1. School of Naval Architecture and Civil Engineering, Zhejiang Ocean University, Zhoushan 316000, P. R. China;2. State Key Laboratory of Hydroscience and Hydraulic Engineering, Tsinghua University, Beijing 100084, P. R. China;3. Key Laboratory of Soft Soils and Geoenvironmental Engineering, Ministry of Education, Zhejiang University, Hangzhou 310027, P. R. China;4. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, P. R. China;1. Sethu Institute of Technology, Kariapatti, Virudhunagar 626115, India;2. Sri Krishna College of Engineering and Technology, Coimbatore,641008, India |
| |
| Abstract: | Wireless Sensor Networks (WSNs) have an ever increasing variety of multimedia based applications. Ιn these types of applications, network nodes should ideally maximize QoS and minimize energy expenditures in video communication. This article presents PEMuR, a novel dual scheme for efficient video communication, which aims at both energy saving and high QoS attainment. To achieve its objectives, PEMuR proposes the combined use of an energy aware hierarchical routing protocol with an intelligent video packet scheduling algorithm. The adopted routing protocol enables the selection of the most energy efficient routing paths, manages the network load according to the energy residues of the nodes and prevents useless data transmissions through the proposed use of an energy threshold. In this way, an outstanding level of energy efficiency is achieved. Additionally, the proposed packet scheduling algorithm enables the reduction of the video transmission rate with the minimum possible increase of distortion. In order to do so, it makes use of an analytical distortion prediction model that can accurately predict the resulted video distortion due to any error pattern. Thus, the algorithm may cope with limited available channel bandwidth by selectively dropping less significant packets prior to their transmission. Simulation results demonstrate the effectiveness of the proposed scheme. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
