无线传感器网络冗余感知拓扑管理

S. Al-Omari, Weisong Shi
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引用次数: 15

摘要

延长无线传感器网络的使用寿命仍然是阻碍大规模部署的最具挑战性和最苛刻的要求。研究表明,只有将节点的无线电设置为完全睡眠模式,才能实现相当大的节能。本文提出了一种冗余感知拓扑管理协议RAT。RAT选择一个最小的活动节点集,这些节点足够好,可以维持连通性,并允许其他节点休眠,从而节省能源。RAT的设计和实现考虑了潜在的无线信道不规律性。可伸缩性和低开销也是RAT的其他主要设计目标。我们在Score上下文中实现RAT, Score是一个跨层框架,它为RAT提供邻居集,并允许RAT平滑地与路由层协调其SLEEP和ACTIVE状态的变化。使用TinyOS和PowerTOSSIM,我们在Score之上实现RAT。RAT仿真结果表明,与全主动场景相比,一对多路由场景的总能耗降低67%,多对一路由场景的总能耗降低87%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Redundancy-Aware Topology Management in Wireless Sensor Networks
Extending the lifetime of wireless sensor networks remains the most challenging and demanding requirement that impedes large-scale deployments. Studies show that considerable energy saving can be achieved only by putting a node's radio into full sleep mode. In this paper we present RAT, which is a redundancy-aware topology management protocol. RAT selects a minimum set of active nodes that are good enough to maintain connectivity, and allows others to sleep and save energy. RAT is designed and implemented with underlying wireless channel irregularity in mind. Scalability and low overhead are the other primary design goals of RAT as well. We implement RAT in the context of Score, which is a cross-layer framework that provides RAT with the neighbor set and allows RAT to coordinate its SLEEP and ACTIVE state changes with the routing layer smoothly. Using TinyOS and PowerTOSSIM, we implement RAT on top of Score. Comparing with the all-active scenario, RAT simulation results show a total energy consumption decrease of 67% in a one-to-many routing scenario and up to 87% in a many-to-one routing scenario
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