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Abstract

Blockchain technology currently receives a lot of public attention with its disruptive potential to rebuild a currently state of economy. While blockchain technology is treated potentially disruptive in socio-economic environment, there is a lack of understanding where and how blockchain technology is effectively applicable and where it has mentionable practical effects. The use of this technology inside many businesses caused a need to create a system of tools and methods allow properly description to generate valuable information for governments, management, customers etc. Due to a lack of information related to blockchain technology it is a must to explore potential of blockchain in the context of risk. This paper examinees a problem of implementation blockchain technology within finance industry. The main aim of the article was to outline how important is to understand potential of blockchain technology and its limitations, therefore the author prepared a model which can be used to classify blockchain technology implementations in finance industry. This study describes existing issues in the financial aspect.

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Authors and Affiliations

Monika Kołodziej
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Abstract

A wireless sensor system is an essential aspect in many fields. It consists of a great deal of sensor nodes. These sensor networks carry out a number of tasks, including interaction, distribution, recognition, and power supply. Data is transmitted from source to destination and plays an important role. Congestion may occur during data transmission from one node to another and also at cluster head locations. Congestion will arise as a result of either traffic division or resource allocation. Energy will be wasted due to traffic division congestion, which causes packet loss and retransmission of removed packets. As a result, it must be simplified; hence there are a few Wireless sensor networks with various protocols that will handle Congestion Control. The Deterministic Energy Efficient Clustering (DEC) protocol, which is fully based on residual energy and the token bucket method, is being investigated as a way to increase the energy efficiency. In the event of congestion, our proposal provides a way to cope with it and solves it using this method to improve lifespan of the sensor networks. Experiments in simulation show that the proposed strategy can significantly enhance lifetime, energy, throughput, and packet loss.
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Authors and Affiliations

Habibulla Mohammad
1
K. Phani Rama Krishna
1
Ch Gangadhar
1
Riazuddin Mohammed
2

  1. PVP Siddhartha Institute of Technology, India
  2. University of Alberta, Edmonton, AB, Canada

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