An Energy Effective Opportunistic Routing Mechanism for BLE Mesh

Cao, Weikun; Zhang, Yinong; Xia, Weiwei; Sun, Dong; Yan, Feng; Shen, Lianfeng; Gao, Yingbin

doi:10.1109/wcsp52459.2021.9613658

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Currently, there are many published BLE mesh protocols that fall into one of the two types of communication [ 7 , 8 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ]. Table 1 lists some of the current BLE mesh solutions.…”

Section: Current Ble Mesh Solutionsmentioning

confidence: 99%

PCO-Based BLE Mesh Accelerator

Bukreyev

Yüksel²,

et al. 2022

Sensors

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Bluetooth Low Energy (BLE) mesh networks enable diverse communication for the Internet of Things (IoT). However, existing BLE mesh implementations cannot simultaneously achieve low-power operation, symmetrical communication, and scalability. A major limitation of mesh networks is the inability of the BLE stack to handle network-scalable time synchronization. Pulse-coupled oscillators (PCOs) have been studied extensively and are able to achieve fast and reliable synchronization across a range of applications and network topologies. This paper presents a lightweight physical (PHY) layer accelerator to the BLE stack that enables scalable synchronization command with a PCO. The accelerator is a fully digital solution that can be synthesized with only the standard cells available in any silicon technology. This paper provides a detailed analysis of PCO-based BLE mesh networks and explores per-node system-level requirements. Finally, the analytical results are validated with measurements of a custom radio node based on the ubiquitous AD9364 transceiver.

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Section: Current Ble Mesh Solutionsmentioning

confidence: 99%

PCO-Based BLE Mesh Accelerator

Bukreyev

Yüksel²,

et al. 2022

Sensors

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Constrained Flooding Based on Time Series Prediction and Lightweight GBN in BLE Mesh

Li,

Wang

2024

Sensors

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Bluetooth Low Energy Mesh (BLE Mesh) enables Bluetooth flexibility and coverage by introducing Low-Power Nodes (LPNs) and enhanced networking protocol. It is also a commonly used communication method in sensor networks. In BLE Mesh, LPNs are periodically woken to exchange messages in a stop-and-wait way, where the tradeoff between energy and efficiency is a hard problem. Related works have reduced the energy consumption of LPNs mainly in the direction of changing the bearer layer, improving time synchronization and broadcast channel utilization. These algorithms improve communication efficiency; however, they cause energy loss, especially for the LPNs. In this paper, we propose a constrained flooding algorithm based on time series prediction and lightweight GBN (Go-Back-N). On the one hand, the wake-up cycle of the LPNs is determined by the time series prediction of the surrounding load. On the other, LPNs exchange messages through lightweight GBN, which improves the window and ACK mechanisms. Simulation results validate the effectiveness of the Time series Prediction and LlightWeight GBN (TP-LW) algorithm in energy consumption and throughput. Compared with the original algorithm of BLE Mesh, when fewer packets are transmitted, the throughput is increased by 214.71%, and the energy consumption is reduced by 65.14%.

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An Energy Effective Opportunistic Routing Mechanism for BLE Mesh

Cited by 2 publications

References 9 publications

PCO-Based BLE Mesh Accelerator

PCO-Based BLE Mesh Accelerator

Constrained Flooding Based on Time Series Prediction and Lightweight GBN in BLE Mesh

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