Permissioned Blockchain-Driven Internet of Things Gateway Using Bluetooth Low Energy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
An Internet of Things (IoT) network can have different components such as servers, gateways, and the end devices. An important source of performance constraint in such an IoT network is found in the limitations of its gateway. The capability of a gateway can dictate the effectiveness of a network and its services. The capacity, power consumption, and security of an IoT gateway are revealed as sources of network bottlenecks and service constraints. Blockchain technology can create a decentralized structure that can offload these strains. To unify these nodes as gateways under the same network, we need an effective means of communication. This paper proposes a setup that makes use of the decentralized capabilities of private blockchain technology partnered with the low-powered and secure connection of Bluetooth Low Energy (BLE). This provides a more secure means of wireless communication and prevents the nodes from being concentrated within an area. The architecture was compared against a standard WiFi network (2.4GHz) to prove its feasibility in effectively carrying out its functionality. In an experiment that used 4 gateway nodes, BLE proved to be more feasible than WiFi by yielding a better verification packet rate of 14 per minute compared to its counterpart that measured 4 per minute. Also, it showed to be more efficient in terms of power consumption with an average of 1095.40 mW, while the WiFi setup was measured to be 1191.83 mW. These results show promise in using BLE paired with blockchain technology to solve the capacity, power and security issues in IoT networks.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it