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IRIS: Integrated data gathering and interest dissemination system for wireless sensor networks

机译:IRIS:用于无线传感器网络的集成数据收集和兴趣传播系统

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摘要

This paper presents IRIS, an integrated interest dissemination and convergecasting solution for wireless sensor networks (WSNs). The interest dissemination protocol is used to build and maintain the network topology and for task/instruction assignment, while convergecasting implements data gathering at the network sink. Convergecasting heavily exploits cross-layering in that MAC and routing operation are performed jointly and relay selection is based on flexible cost functions that take into account information from different layers. The definition of the IRIS cost function enables tradeoff between key end-to-end performance metrics. In addition, it provides mechanisms for supporting efficient network behavior such as in-network data aggregation or processing. Energy usage is minimized by exploiting density estimation, sleeping modes and duty cycle control in a distributed and autonomous manner and as a function of the traffic intensity. Finally, IRIS is self adaptive, highly localized and imposes limited control overhead. IRIS performance is evaluated through ns2 simulations as well as through experiments on a WSN testbed. Comparative performance results show that IRIS outperforms previous cross-layer solutions. The flexibility introduced by the IRIS cross-layer approach results in higher robustness than that of well-known approaches such as BoX-MAC and CTP.
机译:本文介绍了IRIS,这是一种用于无线传感器网络(WSN)的集成的兴趣分发和融合广播解决方案。兴趣分发协议用于构建和维护网络拓扑以及用于任务/指令分配,而聚合广播则在网络接收器处实现数据收集。聚合广播大量利用跨层技术,因为MAC和路由操作是联合执行的,并且中继选择基于灵活的成本函数,该函数考虑了来自不同层的信息。 IRIS成本函数的定义允许在关键的端到端性能指标之间进行权衡。此外,它提供了用于支持有效网络行为(例如,网络内数据聚合或处理)的机制。通过以分布式和自主方式以及根据交通强度来利用密度估计,睡眠模式和占空比控制,可将能耗降至最低。最后,IRIS是自适应的,高度本地化的,并施加有限的控制开销。 IRIS性能通过ns2仿真以及在WSN测试床上的实验进行评估。对比性能结果表明,IRIS优于以前的跨层解决方案。与BoX-MAC和CTP等众所周知的方法相比,IRIS跨层方法引入的灵活性具有更高的鲁棒性。

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