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Topology Formation in mesh networks considering Role Suitability

机译:考虑角色适用性的网状网络中的拓扑形成

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The paper studies various mesh topology formation techniques that can be used to aid the development of large-scale capillary networks. The work focuses on how mesh networks can be established using Bluetooth Low Energy exploiting the heterogeneous characteristics of the devices in the network. A novel algorithm called Topology Formation considering Role Suitability (TFRS) is proposed aiming to maximize the network lifetime. The algorithm employs a newly introduced metric called role suitability metric (RSM) to assign the best role among master, relay and slave to a participating device. The RSM metric is computed from device characteristics including, but not limited to, energy, mobility and computational capability. We use system-level simulation to evaluate the performance of the proposed algorithm against a reference under a homogeneous deployment scenario consisting of heterogeneous devices. Results show that the network lifetime can be improved significantly when the topology is formed considering the device characteristics for both master role selection and relay selection. TFRS can achieve 20% to 40% higher network lifetime depending on the deployment characteristics over the reference algorithm.
机译:本文研究了可用于帮助发展大规模毛细管网络的各种网状拓扑形成技术。该工作侧重于如何使用蓝牙低能量建立网状网络,利用网络中设备的异构特性。考虑角色适用性(TFRS)的一种名为拓扑形成的新型算法,旨在最大限度地提高网络寿命。该算法采用新引入的度量标准称为角色适用性度量(RSM),以将主站,继电器和从站之间的最佳作用分配给参与设备。从设备特征计算RSM度量,包括但不限于能量,移动性和计算能力。我们使用系统级仿真来评估所提出的算法在由异构设备组成的同质部署方案下对参考的性能。结果表明,当考虑到主机角色选择和继电器选择的器件特性时,可以显着提高网络生命周期。 TFRS可以根据参考算法的部署特性达到20%至40%的网络寿命。

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