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Multi-Constrained QoS Geographic Routing for Heterogeneous Traffic in Sensor Networks

机译:传感器网络中异构流量的多约束QoS地理路由

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摘要

Sensor networks that carry heterogeneous traffics and are responsible for reporting very time-critical important events necessitate an efficient and robust data dissemination framework. Designing such a framework, that can achieve both the reliability and delay guarantee while preserving the energy efficiency, namely multi-constrained QoS (MCQoS), is a challenging problem. Although there have been many research works on QoS routing for sensor networks, to the best of our knowledge, no one addresses the above three service parameters all together. In this paper, we propose a new aggregate routing model and a distributed aggregate routing algorithm (DARA) that implements the model for achieving MCQoS. DARA is designed for multi-sink, multipath and location aware network architecture. We develop probabilistic models for multipath reliability constraint, sojourn time of a packet at an intermediary node and node energy consumption. Delay-differentiated multi-speed packet forwarding and in-node packet scheduling mechanisms are also incorporated with DARA. The results of the simulations demonstrate that DARA effectively improves the reliability, delay guarantee and energy efficiency.
机译:传感器网络承载异构流量并负责报告时间非常紧迫的重要事件,因此必须有一个高效而强大的数据分发框架。设计这样的框架,既要获得可靠性又要保证延迟,同时又要保持能效,即多约束QoS(MCQoS),是一个具有挑战性的问题。尽管有许多关于传感器网络QoS路由的研究工作,但据我们所知,没有人同时解决上述三个服务参数。在本文中,我们提出了一个新的聚合路由模型和一个分布式聚合路由算法(DARA),该算法实现了实现MCQoS的模型。 DARA专为多接收器,多路径和位置感知的网络体系结构而设计。我们为多路径可靠性约束,中间节点上的数据包停留时间和节点能耗开发了概率模型。延迟区分多速数据包转发和节点内数据包调度机制也与DARA结合在一起。仿真结果表明,DARA有效地提高了可靠性,延迟保证和能源效率。

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