同质无id生物医学传感器节点网络(RAIN)路由算法

A. Bag, M. Bassiouni
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引用次数: 44

摘要

近年来微电子和MEMS技术的飞速发展,使得传感器网络得到了广泛的应用。由于微型无线节点将在不久的将来以成千上万的数量部署,因此不可能为每个节点提供唯一的硬件标识符。现有的传感器网络路由算法假设网络中的所有节点都可以唯一识别,这将不适合在无id传感器网络中使用。本文考虑了无id传感器节点在生物医学中的应用,并提出了一种路由算法(RAIN),该算法可用于同质无id生物医学传感器节点的活体网络。仿真结果表明,RAIN算法在降低节点平均温升和平均能耗方面明显优于C-FLOOD算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Routing algorithm for network of homogeneous and id-less biomedical sensor nodes (RAIN)
Rapid development in microelectronics and MEMS technology in recent years, have led to a wide-scale application of sensor networks. Since the tiny wireless nodes will be deployed in thousands in near future, it will not be possible to provide each of them with unique hardware identifiers. Existing routing algorithms for sensor networks, which assume that all the nodes in the network can be uniquely identified, will not be suitable for being used in such networks of id-less sensors. In this paper we consider a biomedical application of such id-less sensor nodes and propose a routing algorithm (RAIN), that can be used in an in-vivo network of homogeneous and id-less biomedical sensor nodes. Simulation results show that RAIN performs much better than C-FLOOD, a controlled flooding algorithm in terms of reducing the average temperature rise and average energy consumption of the nodes.
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