无线传感器网络IEEE802.15.4e DSME模型的改进

Sameer K. Alsudany, S. Boussakta, M. Johnston
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引用次数: 2

摘要

互联网嵌入式传感器节点由于其广泛的应用,引起了研究者和业界的广泛关注。主要标准IEEE802.15.4e 2012引入了确定性和同步多通道扩展(DSME)模型。这一模式应解决和改进三个主要问题;终端节点在争用访问期间(CAP)能耗高,网络初始化阶段的关联和保证时隙(GTS)获取时间长,网络发现时间长。在星形拓扑无线传感器网络中对这些问题进行了分析和改进。研究了具有不同节点数量的四种场景。根据网络饱和率(25%、50%、75%、100%)设置节点数。本文对该模型的性能提出了三种增强方法。提出了两种减少CAP期间终端节点能量消耗的新方法,一种在网络初始化阶段使用严格TDMA算法的新关联方案,以最大限度地减少关联和获得GTS插槽所需的时间,并减少由于碰撞造成的功耗,以及一种减少网络发现时间的新技术。仿真结果表明,终端节点的能量消耗和无线电占空比(RDC)分别降低了71倍和77倍。在平均减少(8)倍的关联和GTS学习时间方面也取得了良好的改进。最后,减少了网络发现时间,实现了终端节点的快速关联和进一步节能。
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Enhancements of IEEE802.15.4e DSME Model of Wireless Sensor Networks
Internet embedded sensor nodes have attracted the attention of researchers and industry due to their wide application. The main standard, IEEE802.15.4e 2012, introduces a deterministic and synchronous multi-channel extension (DSME) model. Three main issues should be tackled and improved with this model; a high energy consumption of end nodes during the contention access period (CAP), a long association and guaranteed time slot (GTS) earning times during a network initialization phase and a long network discovery time. These issues have been analysed and improved in a star topology wireless sensor network (WSN). Four scenarios with different numbers of nodes are investigated. Nodes numbers are set according to network saturation ratios (25%, 50%, 75%, and 100%). This paper proposes three enhancements for the performance of this model. Two new approaches are proposed to reduce the energy consumption of end nodes during the CAP period, a new association scheme during network initialization phase using a tight TDMA algorithm to minimize the time required for association and getting a GTS slot and reduce power consumption due to collisions, and a new technique to reduce network discovery time. Simulation results show significant improvements in reducing energy consumption and radio duty cycle (RDC) of end nodes by a factor of (71) and (77) respectively. Good improvements are also achieved in reducing association and GTS earning times by a factor of (8) on average. Finally, network discovery time has been reduced for fast association and further energy saving of end nodes.
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