scholarly journals Heterogeneous traffic performance comparison for 6LoWPAN enabled low-power transceivers

2010 ◽  
Author(s):  
Mikhail Afanasyev ◽  
Damien O'Rourke ◽  
Branislav Kusy ◽  
Wen Hu
Keyword(s):  
Low Power ◽  
Performance Comparison ◽  
Heterogeneous Traffic ◽  
Traffic Performance

Performance comparison between dual cantilevered and touch based hybridized triboelectric harvesters

2021 ◽  
Vol 15 (1) ◽  
pp. 7754-7761
Author(s):  
Satish Rao Ganapathy ◽  
H. Salleh
Keyword(s):  
Low Power ◽  
Surface Area ◽  
Peak Power ◽  
Energy Harvester ◽  
Dissimilar Materials ◽  
Performance Comparison ◽  
Effective Length ◽  
Surface Charges ◽  
Generate Surface ◽  
Power Outputs

The demand for energy harvesting technologies has been increasing over the years attributed to its significance to low power applications. One of the key problems associated with the vibration-based harvester is the fact that these harvesters generate low usable power while maximum peak power can only be attained when the device frequency matches the source frequency. In this study, triboelectric mechanism was investigated in combination with the piezoelectric mechanism in order to enhance the performance of the harvester. Triboelectric mechanism functions in a way that two dissimilar materials were placed in contact and then separated in order to generate surface charges and electric potential between them. Main design factors such as materials, surface area, structure, effective length, and etc. play a significant part in the enhancement of the performance. This study proposed two distinct designs of dual cantilevered structure and touch-based triboelectric energy harvester and evaluated the efficiency of the output between both structures. In addition, the effect of extension and surface area of triboelectric materials was investigated while the influence of these factors on the performance of the harvester was evaluated. The highest value of peak power obtained for dual cantilevered hybrid harvester was 650 µW across a load of 160 kΩ and frequency of 26 Hz. On the other hand, touch-based energy harvester produced an output peak power of 1220 µW across a load of 400 kΩ at 25 Hz. Achieving these power outputs may be able to power up electronics such as smartwatches, hearing aid and etc. Future studies on reliable low power applications to further advance the green power technology will be investigated.

Performance Comparison of Bus Travel Time Prediction Models across Indian Cities

2018 ◽  
Vol 2672 (31) ◽  
pp. 87-98 ◽  
Author(s):  
Jairam R ◽  
B. Anil Kumar ◽  
Shriniwas S. Arkatkar ◽  
Lelitha Vanajakshi
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Prediction Models ◽  
Road Traffic ◽  
Performance Comparison ◽  
Heterogeneous Traffic ◽  
Transport Systems ◽  
Intelligent Transport System ◽  
Travel Time Prediction

Road traffic congestion has become a global worry in recent years. In many countries congestion is a major factor, causing noticeable loss to both economy and time. The rapid increase in vehicle ownership accompanied by slow growth of infrastructure has resulted in space constraints in almost all major cities in India. To mitigate this issue, authorities have shifted to more sustainable management solutions like Intelligent Transport System (ITS). Advanced Public Transportation System (APTS) is an important area in ITS which could considerably offset the growing ownership of private vehicles as public transport holds a noticeable mode share in several major cities in India. Getting access to real-time information about public transport would certainly attract more users. In this regard, this work aims at developing a reliable structure for predicting arrival/travel time of various public transport systems under heterogeneous traffic conditions existing in India. The data used for the study is collected from three cities—Surat, Mysore, and Chennai. The data is analyzed across space and time to extract patterns which are further utilized in prediction models. The models examined in this paper are k-NN classifier, Kalman Filter and Auto-Regressive Integrated Moving Average (ARIMA) techniques. The performance of each model is evaluated and compared to understand which methods are suitable for different cities with varying characteristics.

Experimental Performance Comparison of Emerging Low Power Wide Area Networking (LPWAN) Technologies for IoT

2019 ◽  
Author(s):  
Lucas R. Prando ◽  
Eduardo R. de Lima ◽  
Leonardo S. de Moraes ◽  
Marcio Biehl Hamerschmidt ◽  
Gustavo Fraindenraich
Keyword(s):  
Low Power ◽  
Performance Comparison ◽  
Wide Area ◽  
Experimental Performance

QoS in WiMAX hybrid schedulers for heterogeneous traffic and their performance comparison

2019 ◽  
Vol 107 (4) ◽  
pp. 561-575
Author(s):  
Anju Lata Yadav ◽  
Prakash Vyavahare ◽  
Prashant Bansod
Keyword(s):  
Performance Comparison ◽  
Heterogeneous Traffic

scholarly journals Agent-Based In-Vehicle Infotainment Services in Internet-of-Things Environments

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1288
Author(s):  
Dong-Kyu Choi ◽  
Joong-Hwa Jung ◽  
Hye-Been Nam ◽  
Seok-Joo Koh
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Automobile Industry ◽  
Public Transportation ◽  
Peer To Peer ◽  
Performance Comparison ◽  
Navigation Systems ◽  
Agent Based ◽  
Transmission Delays ◽  
Lower Performance

With the growth of Internet-of-Things (IoT) technology and the automobile industry, various In-Vehicle Infotainment (IVI) services have been developed, in which users can exploit a variety of IVI devices, such as navigation systems, cameras, speakers, headrest displays and heated seats. A typical IVI system is based on the peer-to-peer model, in which the user will directly control each device. This tends to induce a large overhead and inconvenience to the user. To overcome the drawbacks of the peer-to-peer model, the centralized IVI (C-IVI) scheme was recently proposed in which an IVI master is employed to provide IVI services between users and devices. However, the centralized model gives lower performance, as the number of users and devices gets larger. To improve the performance of IVI services, in this paper, we propose an agent-based IVI (A-IVI) scheme. In the proposed A-IVI scheme, a new entity called ‘agent’ is introduced, based on the C-IVI model. Each IVI agent will be used to manage a group of devices and also to perform the communication with the IVI master, on behalf of the concerned devices. The proposed scheme can be used to provide scalability and perform enhancement. The IVI agents are also helpful for supporting a variety of constrained IVI devices, such as speakers or cameras, which may usually have too low power to perform IoT communications. The proposed A-IVI scheme is implemented by using the IoT messaging protocols. For performance comparison with the existing schemes, we performed testbed experimentations. From the results, we see that the proposed A-IVI scheme can provide better performance than the existing IVI systems in terms of transmission delays, throughput and master’s loads. It is expected that the proposed scheme may be used effectively for IVI systems with a large number of users/devices, as seen in public transportation, such as public trains or airplanes.

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