Radiation Awareness in Three-Dimensional Wireless Sensor Networks

S. Nikoletseas, Dimitra Patroumpa, V. Prasanna, C. Raptopoulos, J. Rolim
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引用次数: 11

Abstract

This research attempts a first step towards investigating the aspect of radiation awareness in environments with abundant heterogeneous wireless networking. We call radiation at a point of a 3D wireless network the total amount of electromagnetic quantity the point is exposed to, our definition incorporates the effect of topology as well as the time domain, data traffic and environment aspects. Even if the impact of radiation to human health remains largely unexplored and controversial, we believe it is worth trying to understand and control. We first analyze radiation in well known topologies (random and grids), randomness is meant to capture not only node placement but also uncertainty of the wireless propagation model. This initial understanding of how radiation adds (over space and time) can be useful in network design, to reduce health risks. We then focus on the minimum radiation path problem of finding the lowest radiation trajectory of a person moving from a source to a destination point of the network region. We propose three heuristics which provide low radiation paths while keeping path length low, one heuristic gets in fact quite close to the offline solution we compute by a shortest path algorithm. Finally, we investigate the interesting impact on the heuristics' performance of diverse node mobility.
三维无线传感器网络中的辐射感知
本研究尝试在研究具有丰富异构无线网络的环境中的辐射感知方面迈出了第一步。我们将三维无线网络中某一点的辐射称为该点所暴露的电磁量的总量,我们的定义结合了拓扑结构以及时域、数据流量和环境方面的影响。即使辐射对人类健康的影响在很大程度上仍未被探索和争议,我们认为它值得尝试理解和控制。我们首先分析已知拓扑(随机和网格)中的辐射,随机性不仅意味着捕获节点位置,还意味着捕获无线传播模型的不确定性。这种对辐射如何(随空间和时间)增加的初步了解,可用于网络设计,以减少健康风险。然后,我们重点研究了最小辐射路径问题,即寻找一个人从网络区域的一个源到一个目的点的最低辐射轨迹。我们提出了三种启发式算法,在保持路径长度较低的同时提供低辐射路径,其中一种启发式算法实际上非常接近我们通过最短路径算法计算的离线解。最后,我们研究了不同节点移动性对启发式算法性能的有趣影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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