热感知传感器网络

Dong Li, Yanmin Zhu, Li Cui, L. Ni
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引用次数: 1

摘要

在现实的传感器网络中,特别是在非均匀部署的情况下,传感器节点不可避免地会有不同的工作负载。这就导致了一个自然的问题,即一些传感器节点受到过多的功耗而变得热。这些热节点消耗得更早,导致系统性能下降。本文提出了一种系统的方法来设计一个热感知传感器网络,每个节点都能获得自己的热信息。基于这些关键信息,系统能够提供各种技术来保护关键的热节点集。更具体地说,我们设计了一个中心化的最优算法来获得每个节点的精确热度。此外,我们还开发了一种完全分布式的算法,以获得高精度的热度估计。提出了一种有效的热感知MAC,为高热节点提供中等访问优先级,以保护和延长热节点的生命周期。通过理论分析和综合仿真,证明了该方法对提高实际传感器网络的系统性能是有价值的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hotness-Aware Sensor Networks
In a realistic sensor network, in particular with a non-uniform deployment, sensor nodes inevitably have varying workloads. This causes a natural problem that some sensor nodes are subject to excessive power consumption and thus become hot. These hot nodes deplete much earlier resulting in system performance degradation. This paper proposes a systematic approach to design a hotness-aware sensor network where each node is able to obtain its own hotness information. Based on these vital information, the system is able to provide various technologies to protect the critical set of hot nodes. More specifically, we design a centralized optimal algorithm to derive the precise hotness of each node. In addition, we develop a completely distributed algorithm to estimate hotness with high accuracy. An effective hotness-aware MAC is developed to offer medium access priority to the nodes with higher hotness to protect and prolong their lifetimes. It is demonstrated, through both theoretical analysis and comprehensive simulations, that our approach is valuable to improving system performance of practical sensor networks.
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