Peer to peer signal strength characteristic between IoT devices for distance estimation

2014 ◽  
Author(s):  
Joonyoung Jung ◽  
Dong-oh Kang ◽  
Changseok Bae
Keyword(s):  
Strength Characteristic ◽  
Distance Estimation ◽  
Signal Strength ◽  
Peer To Peer ◽  
Iot Devices

scholarly journals Evaluation of Technology-Supported Distance Measuring to Ensure Safe Aircraft Boarding during COVID-19 Pandemic

2020 ◽  
Vol 12 (20) ◽  
pp. 8724
Author(s):  
Paul Schwarzbach ◽  
Julia Engelbrecht ◽  
Albrecht Michler ◽  
Michael Schultz ◽  
Oliver Michler
Keyword(s):  
Three Dimensional ◽  
Virus Transmission ◽  
Distance Estimation ◽  
Signal Strength ◽  
Air Transport ◽  
Aircraft Cabins ◽  
Social Distancing ◽  
Simulation Based ◽  
Cabin Environment

With the rise of COVID-19, the sustainability of air transport is a major challenge, as there is limited space in aircraft cabins, resulting in a higher risk of virus transmission. In order to detect possible chains of infection, technology-supported apps are used for social distancing. These COVID-19 applications are based on the display of the received signal strength for distance estimation, which is strongly influenced by the spreading environment due to the signal multipath reception. Therefore, we evaluate the applicability of technology-based social distancing methods in an aircraft cabin environment using a radio propagation simulation based on a three-dimensional aircraft model. We demonstrate the susceptibility to errors of the conventional COVID-19 distance estimation, which can lead to large errors in the determination of distances and to the impracticability of traditional tracing approaches during passenger boarding/deboarding. In the context of the future connected cabin, a robust distance measurement must be implemented to ensure safe travel. Finally, our results can be transferred to similar fields of application, e.g., trains or public transport.

scholarly journals P4UIoT: Pay-Per-Piece Patch Update Delivery for IoT Using Gradual Release

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2156
Author(s):  
Nachiket Tapas ◽  
Yechiav Yitzchak ◽  
Francesco Longo ◽  
Antonio Puliafito ◽  
Asaf Shabtai
Keyword(s):  
Single Point ◽  
Peer To Peer ◽  
Building Trust ◽  
Distributed Framework ◽  
Reduced Costs ◽  
Reducing Costs ◽  
Iot Devices ◽  
Delivery Networks ◽  
Gradual Release ◽  
Delivery Network

P 4 UIoT—pay-per-piece patch update delivery for IoT using gradual release—introduces a distributed framework for delivering patch updates to IoT devices. The framework facilitates distribution via peer-to-peer delivery networks and incentivizes the distribution operation. The peer-to-peer delivery network reduces load by delegating the patch distribution to the nodes of the network, thereby protecting against a single point of failure and reducing costs. Distributed file-sharing solutions currently available in the literature are limited to sharing popular files among peers. In contrast, the proposed protocol incentivizes peers to distribute patch updates, which might be relevant only to IoT devices, using a blockchain-based lightning network. A manufacturer/owner named vendor of the IoT device commits a bid on the blockchain, which can be publicly verified by the members of the network. The nodes, called distributors, interested in delivering the patch update, compete among each other to exchange a piece of patch update with cryptocurrency payment. The pay-per-piece payments protocol addresses the problem of misbehavior between IoT devices and distributors as either of them may try to take advantage of the other. The pay-per-piece protocol is a form of a gradual release of a commodity like a patch update, where the commodity can be divided into small pieces and exchanged between the sender and the receiver building trust at each step as the transactions progress into rounds. The permissionless nature of the framework enables the proposal to scale as it incentivizes the participation of individual distributors. Thus, compared to the previous solutions, the proposed framework can scale better without any overhead and with reduced costs. A combination of the Bitcoin lightning network for cryptocurrency incentives with the BitTorrent delivery network is used to present a prototype of the proposed framework. Finally, a financial and scalability evaluation of the proposed framework is presented.

scholarly journals Architecture for Secure Communication Among IoT Devices with Ethereum Blockchain

2021 ◽  
Author(s):  
Bawankar Chetan D ◽  
Sanjeev Kumar Sharma
Keyword(s):  
Internet Of Things ◽  
Information Transmission ◽  
Open System ◽  
Secure Communication ◽  
Denial Of Service ◽  
Peer To Peer ◽  
System Innovation ◽  
Distributed Denial Of Service ◽  
Iot Devices ◽  
The Relationship

The paper aims to clarify the relationship between Internet-of-Things devices and Ethereum blockchain. It proposes the arrangement to ensure information transmission among parties in an open system of IoT must be secure using Ethereum. The accompanying joining strategy utilized terminal gadgets as system innovation and Ethereum blockchain stage that delivered back-end, which guarantees high security, accessibility, and protection, supplanting conventional back-end frameworks. The following issues should be considered to prevent the malicious hub from attacking, resist distributed denial-of-service attacks, and prevent firmware backdoor access. This paper proposed a system in which the Peer-to-Peer authentication model, where every IoT node in the system must be authenticated and verified by the proposed framework. The paper provides empirical insights into IoT nodes manufactured in bulk, and they are remaining with their default username and password.

scholarly journals Implementing a Distance Estimator for a Wildlife Tracking System Based on 802.15.4

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1438
Author(s):  
Daniel Cascado-Caballero ◽  
Lourdes Duran-Lopez ◽  
Juan Pedro Dominguez-Morales ◽  
Daniel Gutierrez-Galan ◽  
Claudio Amaya-Rodriguez ◽  
...  
Keyword(s):  
National Park ◽  
Tracking System ◽  
Distance Estimation ◽  
Signal Strength ◽  
Coverage Area ◽  
Wildlife Tracking ◽  
Behavioral Classification ◽  
Distance Estimator ◽  
Received Signal Strength Indication ◽  
Validation Experiments

In this work, a novel distance estimation mechanism using received signal strength indication (RSSI) signals with ZigBee modules is designed, implemented and tested in several scenarios. This estimator was used for a research project focused on a wildlife behavioral classification system deployed in Doñana’s National Park. As a supporting feature for that project, this work was implemented for locating animal’s collars acting as wireless nodes in order to find those who went outside of the coverage area of the network or that were accidentally detached from animals. This work describes the system architecture and the implementation of a mobile assistant capable of recovering devices located beyond the coverage of the network. The analytical model needed for distance estimation and the signal filtering are described, as well as the difficulties that the researchers must deal when building robust location estimators. This theoretical model was applied to three different scenarios and tested with two validation experiments.

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