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首页> 外文期刊>IEICE Transactions on Communications >Cross-Layer Algorithms for QoS Enhancement in Wireless Multimedia Sensor Networks
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Cross-Layer Algorithms for QoS Enhancement in Wireless Multimedia Sensor Networks

机译:无线多媒体传感器网络中用于QoS增强的跨层算法

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摘要

A lot of emerging applications like advanced telemedicine and surveillance systems, demand sensors to deliver multimedia content with precise level of QoS enhancement. Minimizing energy in sensor networks has been a much explored research area but guaranteeing QoS over sensor networks still remains an open issue. In this letter we propose a cross-layer approach combining Network and MAC layers, for QoS enhancement in wireless multimedia sensor networks. In the network layer a statistical estimate of sensory QoS parameters is performed and a near-optimal genetic algorithmic solution is proposed to solve the NP-complete QoS-routing problem. On the other hand the objective of the proposed MAC algorithm is to perform the QoS-based packet classification and automatic adaptation of the contention window. Simulation results demonstrate that the proposed protocol is capable of providing lower delay and better throughput, at the cost of reasonable energy consumption, in comparison with other existing sensory QoS protocols.
机译:许多新兴的应用程序,例如高级远程医疗和监视系统,都要求传感器提供具有精确QoS增强水平的多媒体内容。使传感器网络中的能量最小化已成为人们研究的热点,但是如何保证传感器网络上的QoS仍然是一个未解决的问题。在这封信中,我们提出了一种结合了网络层和MAC层的跨层方法,用于增强无线多媒体传感器网络中的QoS。在网络层中,对感觉的QoS参数进行统计估计,并提出了一种接近最优的遗传算法来解决NP完全QoS路由问题。另一方面,所提出的MAC算法的目的是执行基于QoS的分组分类和竞争窗口的自动适配。仿真结果表明,与其他现有的感官QoS协议相比,该协议能够以合理的能源消耗为代价提供更低的延迟和更好的吞吐量。

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