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Correlation-Aware QoS Routing With Differential Coding for Wireless Video Sensor Networks

机译:无线视频传感器网络中具有差分编码的相关感知QoS路由

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摘要

The spatial correlation of visual information retrieved from distributed camera sensors leads to considerable data redundancy in wireless video sensor networks, resulting in significant performance degradation in energy efficiency and quality-of-service (QoS) satisfaction. In this paper, a correlation-aware QoS routing algorithm (CAQR) is proposed to efficiently deliver visual information under QoS constraints by exploiting the correlation of visual information observed by different camera sensors. First, a correlation-aware inter-node differential coding scheme is designed to reduce the amount of traffic in the network. Then, a correlation-aware load balancing scheme is proposed to prevent network congestion by splitting the correlated flows that cannot be reduced to different paths. Finally, the correlation-aware schemes are integrated into an optimization QoS routing framework with an objective to minimize energy consumption subject to delay and reliability constraints. Simulation results demonstrate that the proposed routing algorithm achieves efficient delivery of visual information under QoS constraints in wireless video sensor networks.
机译:从分布式摄像机传感器检索到的视觉信息的空间相关性会导致无线视频传感器网络中的大量数据冗余,从而导致能源效率和服务质量(QoS)满意度大幅下降。本文提出了一种相关感知的QoS路由算法(CAQR),通过利用不同相机传感器观测到的视觉信息的相关性,在QoS约束下有效地传递视觉信息。首先,设计了一种具有相关性的节点间差分编码方案,以减少网络中的通信量。然后,提出了一种相关感知的负载平衡方案,通过将无法减少的相关流拆分为不同的路径来防止网络拥塞。最后,将相关性感知方案集成到优化QoS路由框架中,其目的是在受到延迟和可靠性约束的情况下最大程度地降低能耗。仿真结果表明,所提出的路由算法在无线视频传感器网络的QoS约束下实现了视觉信息的有效传递。

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