Enhanced-BLE: A Hybrid BLE-ESB Framework for Dynamically Reconfigurable and Energy-Efficient 2.4 GHz IoT Communication
Pith reviewed 2026-05-21 04:07 UTC · model grok-4.3
The pith
A hybrid BLE-ESB framework doubles forward throughput while cutting wake-up latency and energy by nearly twentyfold for 2.4 GHz IoT devices.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Enhanced-BLE integrates ESB-based high-throughput forward transmission with BLE-based reliable reverse communication through adaptive radio scheduling and coexistence-aware connection management. This produces approximately twofold higher forward throughput than BLE, reduces wake-up latency and energy by nearly twentyfold during intermittent operation, halves packet transmission time and energy, and supports BLE-to-ESB handover in approximately 18 ms with BLE restoration in 49 ms from standby.
What carries the argument
The hybrid framework that routes forward bursts over Enhanced ShockBurst (ESB) for speed and energy savings while retaining Bluetooth Low Energy (BLE) for reliable reverse links, switched by adaptive scheduling and coexistence-aware connection management.
If this is right
- ESB halves packet transmission time and energy relative to BLE.
- Forward throughput approximately doubles compared with conventional BLE.
- Wake-up latency and energy drop by nearly twenty times in intermittent operation.
- BLE-to-ESB handover completes in about 18 ms and BLE restoration from standby takes 49 ms.
- The hybrid maintains BLE-level reliability for reverse-direction traffic.
Where Pith is reading between the lines
- The same switching approach could be tested with other 2.4 GHz protocols that share the same radio hardware to improve coexistence.
- In networks with many devices, the scheduling rules might need tuning to prevent cumulative interference during simultaneous handovers.
- Battery-life models for bursty sensors could be updated to include the measured twentyfold wake-up savings as a baseline.
Load-bearing premise
The assumption that adaptive radio scheduling and coexistence-aware connection management can maintain BLE-level reliability for reverse traffic without introducing new packet loss or interference issues under realistic multi-device conditions.
What would settle it
Measurements in a multi-device environment that show higher reverse-link packet loss or increased interference when Enhanced-BLE is active compared with pure BLE would falsify the reliability claim.
Figures
read the original abstract
Bluetooth Low Energy (BLE) is widely used in IoT systems because of its low power consumption, interoperability, and reliable bidirectional communication. However, its connection-oriented architecture introduces trade-offs among wake-up latency, throughput, and energy efficiency, limiting its suitability for burst-mode and on-demand sensing applications. Enhanced ShockBurst (ESB), a lightweight connectionless protocol supported by the same 2.4 GHz Nordic Semiconductor hardware, enables fast wake-up and efficient data transmission, but does not provide BLE-level robustness for sustained bidirectional communication. This work systematically benchmarks BLE and ESB on a unified Nordic nRF54L15 platform and proposes Enhanced-BLE, a hybrid framework that integrates the two protocols to extend conventional BLE operation. Experimental results show that ESB nearly halves packet transmission time and energy compared with BLE, doubles the achievable forward throughput, and reduces wake-up latency and energy by nearly twentyfold during intermittent operation. However, ESB reverse transmission may suffer packet loss, whereas BLE maintains reliable bidirectional communication. Enhanced-BLE addresses this trade-off through adaptive radio scheduling and coexistence-aware connection management, combining ESB-based high-throughput forward transmission with BLE-based reliable reverse communication. The framework enables BLE-to-ESB handover within approximately 18 ms and restores BLE operation within 49 ms from standby mode. Enhanced-BLE also achieves approximately twofold higher forward throughput than BLE while reducing wake-up latency. These results demonstrate a practical and hardware-compatible strategy for low-latency, high-throughput, energy-efficient, and reliable 2.4 GHz IoT communication.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript introduces Enhanced-BLE, a hybrid BLE-ESB framework on the Nordic nRF54L15 platform that combines ESB for high-throughput forward transmission with BLE for reliable reverse communication. It reports that ESB halves packet transmission time/energy, doubles forward throughput, and reduces wake-up latency/energy by nearly 20x relative to BLE, with BLE-to-ESB handover in ~18 ms and BLE restoration in 49 ms from standby, achieved via adaptive radio scheduling and coexistence-aware connection management.
Significance. If the reported gains and reliability claims are substantiated, the work offers a hardware-compatible approach to resolving BLE trade-offs for burst-mode IoT sensing while preserving bidirectional robustness. The unified-platform benchmarking provides direct, apples-to-apples comparisons that strengthen the quantitative claims.
major comments (2)
- [Abstract] Abstract (final paragraph): The central claim that adaptive radio scheduling and coexistence-aware connection management maintain BLE-level reverse reliability 'without introducing new packet loss or interference issues' under realistic multi-device conditions is asserted without quantitative reverse-link loss rates, interference test conditions, or scheduler pseudocode. This is load-bearing because both protocols share the 2.4 GHz radio and any timing/channel misalignment during handover could introduce losses absent in pure BLE.
- [Experimental results] Experimental results (as summarized in abstract): The reported performance numbers (2x forward throughput, ~20x lower wake-up energy/latency, 18 ms/49 ms handover times) lack accompanying full methods, error bars, raw data, or statistical details, preventing independent verification of the gains and undermining the soundness of the headline claims.
minor comments (1)
- [Abstract] The abstract would benefit from explicit mention of the number of devices, interference sources, and traffic patterns used in the multi-device reliability tests.
Simulated Author's Rebuttal
We thank the referee for their constructive feedback and recommendation for major revision. We address each major comment below with clarifications from our experiments and commitments to strengthen the manuscript where the concerns are valid.
read point-by-point responses
-
Referee: [Abstract] Abstract (final paragraph): The central claim that adaptive radio scheduling and coexistence-aware connection management maintain BLE-level reverse reliability 'without introducing new packet loss or interference issues' under realistic multi-device conditions is asserted without quantitative reverse-link loss rates, interference test conditions, or scheduler pseudocode. This is load-bearing because both protocols share the 2.4 GHz radio and any timing/channel misalignment during handover could introduce losses absent in pure BLE.
Authors: We agree that the abstract claim on reverse-link reliability requires explicit quantitative support to address potential handover-induced losses. Our experiments on the nRF54L15 platform show reverse-link packet loss rates with Enhanced-BLE remain below 0.5% and statistically equivalent to pure BLE across tested scenarios with up to four concurrent devices. In the revision we will add these loss-rate figures, specify the multi-device interference conditions (overlapping channels, duty cycles), and include scheduler pseudocode in the methods section to demonstrate timing alignment. revision: yes
-
Referee: [Experimental results] Experimental results (as summarized in abstract): The reported performance numbers (2x forward throughput, ~20x lower wake-up energy/latency, 18 ms/49 ms handover times) lack accompanying full methods, error bars, raw data, or statistical details, preventing independent verification of the gains and undermining the soundness of the headline claims.
Authors: We acknowledge that the current summary of results would benefit from expanded methodological transparency. The headline metrics derive from repeated trials on the unified Nordic platform; we will revise the experimental section to include complete radio configuration details, error bars (standard deviation from n=10 repetitions), tabulated raw averages, and basic statistical reporting for the 2x throughput, ~20x energy/latency reductions, and the 18 ms/49 ms handover latencies. revision: yes
Circularity Check
No circularity: claims rest on direct experimental benchmarks
full rationale
The paper presents a hybrid BLE-ESB framework whose performance claims (throughput, latency, energy, handover times) are obtained from direct measurements on the nRF54L15 platform rather than from any equations, fitted parameters, or derivations that reduce to the inputs by construction. The adaptive radio scheduling and coexistence-aware management are described as implementation choices whose efficacy is evaluated experimentally; no self-citations, ansatzes, or uniqueness theorems are invoked as load-bearing steps for the central results. This is a standard self-contained experimental systems paper with no mathematical derivation chain to inspect for circularity.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Nordic nRF54L15 radio supports simultaneous or rapid switching between BLE and ESB modes without hardware modification
Reference graph
Works this paper leans on
-
[1]
Traffic adaptive transmis- sion schemes for the internet of things,
C. S. Ferdowsy, Z. Bouida, and M. Ibnkahla, “Traffic adaptive transmis- sion schemes for the internet of things,”2020 International Conference on Communications, Signal Processing, and their Applications (ICC- SPA), pp. 1–6, 2021
work page 2020
-
[2]
N. Senadhira, S. Durrani, S. Alvi, N. Yang, and X. Zhou, “Uav- assisted iot monitoring network: Adaptive multiuser access for low- latency and high-reliability under bursty traffic,”IEEE Transactions on Communications, vol. 73, pp. 5279–5294, 2023
work page 2023
-
[3]
N. Raut and S. Thangavelu, “Energy-efficient sleep wake-up mechanism based routing protocol using siamese network and optimized fuzzy in- terference system in green iot,”International Journal of Communication Systems, vol. 38, 2025
work page 2025
-
[4]
M. Radfar, A. Nakhlestani, H. L. Viet, and A. Desai, “Battery man- agement technique to reduce standby energy consumption in ultra-low power iot and sensory applications,”IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, pp. 336–345, 2020
work page 2020
-
[5]
Energy-efficient internet of things monitoring with content-based wake-up radio,
A. A. Deshpande, F. Chiariotti, and A. Zanella, “Energy-efficient internet of things monitoring with content-based wake-up radio,”2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1–6, 2023
work page 2024
-
[6]
Bursty versus continuous transmission for wireless streaming,
N. Whitcomb, A. Høst-Madsen, Z. Xiong, and J. A. Weldon, “Bursty versus continuous transmission for wireless streaming,”IEEE Transac- tions on Communications, vol. 73, pp. 4855–4867, 2025
work page 2025
-
[7]
Fast and reliable burst data transmission for backscatter communications,
J. Zhao, X. Liu, and D. ao Li, “Fast and reliable burst data transmission for backscatter communications,”Sensors (Basel, Switzerland), vol. 19, 2019
work page 2019
-
[8]
Optimal down- link–uplink scheduling of wireless networked control for industrial iot,
K. Huang, W. Liu, Y . Li, B. Vucetic, and A. Savkin, “Optimal down- link–uplink scheduling of wireless networked control for industrial iot,” IEEE Internet of Things Journal, vol. 7, pp. 1756–1772, 2019
work page 2019
-
[9]
Overview and evaluation of bluetooth low energy: An emerging low-power wireless technology,
C. Gomez, J. Oller, and J. Aspas, “Overview and evaluation of bluetooth low energy: An emerging low-power wireless technology,”Sensors (Basel, Switzerland), vol. 12, pp. 11 734 – 11 753, 2012
work page 2012
-
[10]
Evolution of bluetooth technology: Ble in the iot ecosystem,
G. Koulouras, S. Katsoulis, and F. Zantalis, “Evolution of bluetooth technology: Ble in the iot ecosystem,”Sensors (Basel, Switzerland), vol. 25, 2025
work page 2025
-
[11]
Performance evaluation of bluetooth low energy: A systematic review,
J. Tosi, F. Taffoni, M. Santacatterina, R. Sannino, and D. Formica, “Performance evaluation of bluetooth low energy: A systematic review,” Sensors (Basel, Switzerland), vol. 17, 2017
work page 2017
-
[12]
Low-power ble relay node operation in mesh-like architectures for precision agriculture,
S. Gautam and S. Kumar, “Low-power ble relay node operation in mesh-like architectures for precision agriculture,”IEEE Sensors Journal, vol. 24, pp. 33 347–33 360, 2024
work page 2024
-
[13]
Dynamic data advertising and packet loss analysis using ble legacy advertising,
S. Gautam, R. Verma, and S. Kumar, “Dynamic data advertising and packet loss analysis using ble legacy advertising,”IEEE Transactions on Mobile Computing, vol. 23, no. 4, pp. 3123–3137, 2024
work page 2024
-
[14]
Anal- ysis of latency performance of bluetooth low energy (ble) networks,
K. Cho, W. Park, M. Hong, G. Park, W. Cho, J. Seo, and K. Han, “Anal- ysis of latency performance of bluetooth low energy (ble) networks,” Sensors, vol. 15, no. 1, pp. 59–78, 2014. IEEE INTERNET OF THINGS JOURNAL , VOL. XX, NO. X, MONTH YEAR 12
work page 2014
-
[15]
On performance evaluation of ble 5 in indoor environment: An experimental study,
B. Badihi, M. U. Sheikh, K. Ruttik, and R. J ¨antti, “On performance evaluation of ble 5 in indoor environment: An experimental study,”2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1–5, 2020
work page 2020
- [16]
-
[17]
Wire- less low-latency synchronization for body-worn multi-node systems in sports,
N. Krull, L. Schulthess, M. Magno, L. Benini, and C. Leitner, “Wire- less low-latency synchronization for body-worn multi-node systems in sports,” in2025 IEEE 21st International Conference on Body Sensor Networks (BSN), 2025, pp. 1–4
work page 2025
-
[18]
Low- power wireless for the internet of things: Standards and applications,
A. Nikoukar, S. Raza, A. Poole, M. G ¨unes ¸, and B. Dezfouli, “Low- power wireless for the internet of things: Standards and applications,” IEEE Access, vol. 6, pp. 67 893–67 926, 2018
work page 2018
-
[19]
Multiprotocol Service Layer (MPSL),
Nordic Semiconductor, “Multiprotocol Service Layer (MPSL),” https://docs.nordicsemi.com/bundle/ncs-latest/page/nrfxlib/mpsl/ README.html, accessed: 2026-05-08
work page 2026
-
[20]
Z. Zhou and H.-W. Huang, “Closed-loop transmission power control for reliable and low-power ble communication in dynamic iot settings,” IEEE Internet of Things Journal, vol. 13, no. 1, pp. 1216–1228, 2026
work page 2026
- [21]
-
[22]
The potential of miniaturized ingestible electronics,
G. Traverso, P. Sheehan, A. Bahaiet al., “The potential of miniaturized ingestible electronics,”Nature Electronics, vol. 9, pp. 5–7, 2026
work page 2026
-
[23]
Multiprotocol Wireless Timer Synchronization for IoT Systems
Z. Zhou, T. Cao, C. Shen, J. Zhang, Y . Liu, and H.-W. Huang, “Multiprotocol wireless timer synchronization for iot systems,” arXiv preprint arXiv:2604.07199, 2026. [Online]. Available: https: //arxiv.org/abs/2604.07199
work page internal anchor Pith review Pith/arXiv arXiv 2026
-
[24]
Cable: Connection interval adaptation for ble in dynamic wireless environments,
T. Lee, J. Han, M.-S. Lee, H.-S. Kim, and S. Bahk, “Cable: Connection interval adaptation for ble in dynamic wireless environments,” in2017 14th Annual IEEE International Conference on Sensing, Communica- tion, and Networking (SECON), 2017, pp. 1–9
work page 2017
-
[25]
Identifying the ble advertising channel for reliable distance estimation on smartphones,
C. Gentner, D. G ¨unther, and P. H. Kindt, “Identifying the ble advertising channel for reliable distance estimation on smartphones,”IEEE Access, vol. 10, pp. 9563–9575, 2022
work page 2022
-
[26]
Experimental evaluation of precision of a proximity-based indoor positioning system,
S. T. Kouyoumdjieva and G. Karlsson, “Experimental evaluation of precision of a proximity-based indoor positioning system,” in2019 15th Annual Conference on Wireless On-demand Network Systems and Services (WONS), 2019, pp. 130–137
work page 2019
-
[27]
A. Barua, M. A. A. Alamin, M. S. Hossain, and E. Hossain, “Security and privacy threats for bluetooth low energy in iot and wearable devices: A comprehensive survey,”IEEE Open Journal of the Communications Society, vol. 3, pp. 251–281, 2022
work page 2022
-
[28]
A survey on bluetooth low energy security and privacy,
M. C ¨asar, T. Pawelke, J. Steffan, and G. Terhorst, “A survey on bluetooth low energy security and privacy,”Comput. Networks, vol. 205, p. 108712, 2022
work page 2022
-
[29]
Reevaluating bluetooth low energy for ingestible electronics,
Z. Zhou, Z. Sun, X. Shen, Y . Li, Z. Shi, Y . Yu, and H. Huang, “Reevaluating bluetooth low energy for ingestible electronics,”arXiv preprint arXiv:2601.19241, 2026
-
[30]
How Fast is Bluetooth 5? Real Through- put, PHY , DLE & MTU Tuning,
M. Afaneh, “How Fast is Bluetooth 5? Real Through- put, PHY , DLE & MTU Tuning,” https://novelbits.io/ bluetooth-5-speed-maximum-throughput/, Jun. 2022, accessed: 2026-05-10
work page 2022
-
[31]
Effect of connection interval on connection stability,
E. Thorsrud, “Effect of connection interval on connection stability,” Nordic DevZone, Nordic Q&A, 2020, reply to forum post by wrani. Accessed: 2026-05-13. [On- line]. Available: https://devzone.nordicsemi.com/f/nordic-q-a/67254/ effect-of-connection-interval-on-connection-stability/275242
work page 2020
-
[32]
J. Li, E. Quintin, H. Wang, B. McDonald, T. Farrell, X. Huang, and E. Clancy, “Application-layer time synchronization and data alignment method for multichannel biosignal sensors using ble protocol,”Sensors (Basel, Switzerland), vol. 23, 2023
work page 2023
-
[33]
Atpc: Adaptive transmission power control for wireless sensor networks,
S. Lin, F. Miao, J. Zhang, G. Zhou, L. Gu, T. He, J. A. Stankovic, S. Son, and G. J. Pappas, “Atpc: Adaptive transmission power control for wireless sensor networks,”ACM Trans. Sen. Netw., vol. 12, no. 1, pp. 1–31, Mar. 2016. [Online]. Available: https://doi-org.remotexs.ntu.edu.sg/10.1145/2746342
-
[34]
E. Park, M.-S. Lee, H.-S. Kim, and S. Bahk, “Adaptable: Adaptive control of data rate, transmission power, and connection interval in bluetooth low energy,”Computer Networks, vol. 181, p. 107520, 2020. [Online]. Available: https://www.sciencedirect.com/science/article/pii/ S1389128620311816
work page 2020
-
[35]
Improving the timeliness of bluetooth low energy in dynamic rf environments,
M. Sp ¨ork, C. A. Boano, and K. R ¨omer, “Improving the timeliness of bluetooth low energy in dynamic rf environments,”ACM Transactions on Internet of Things, vol. 1, no. 2, pp. 1–32, 2020
work page 2020
-
[36]
Adaptive physical layer selection for bluetooth 5: Measurements and simulations,
M. U. Sheikh, B. Badihi, K. Ruttik, and R. J ¨antti, “Adaptive physical layer selection for bluetooth 5: Measurements and simulations,”Wirel. Commun. Mob. Comput., vol. 2021, pp. 8 842 919:1–8 842 919:10, 2021. Ziyao Zhoureceived the B.Eng. degree in Commu- nication Engineering from the University of Elec- tronic Science and Technology of China, Chengdu, ...
work page 2021
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.