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http://10.1.7.192:80/jspui/handle/123456789/9370
Title: | Decision MakinginEmbeddedDevices |
Authors: | Kaurani, Venus |
Keywords: | EC 2018 Project Report 2018 EC Project Report EC (ES) Embedded Systems Embedded Systems 2018 18MEC 18MECE 18MECE08 |
Issue Date: | 1-Jun-2020 |
Publisher: | Institute of Technology |
Series/Report no.: | 18MECE08; |
Abstract: | Now-a-days, IoT has taken over a very large impact on the smart system with all the devices connected digitally. But, centralized IoT systems faces several issues such as such as security, single point of failure, latency, and computational complexity. This work aims at making the embedded devices (IoT edge devices) decentralized, autonomous, collaborative and intelligent. Devices to be decentralized, collaborative and act autonomously, their way of communications and capability to act to the stimuli from the environment need to be enhanced. The devices would be able to take decision autonomously based on their perceptions of environment. In this approach, agent technology is used as a backbone, for making these devices autonomous and collaborative. The agent is a software entity which performs an action and can take the decisions on behalf of their user. Several agents form the multi-agent system. Multi-agent system makes the system interoperable and brings cooperation between several agents. A multi-agent system is a better way for autonomous agents to perform certain critical tasks which they could not perform individually. These agents need an intermediate source to interact efficiently with the other agent to reach the system-level goals. Hence, the agent platform acts as an intermediate source platform for all the activities of an agent. These several agents and agent platform make an Agent Framework, which manages all the management activities of agents. This work showcases, a use-case where all the buyers and sellers involved in the book trading are connected in a decentralized manner and perform tasks autonomously. These buyers and sellers take the decisions based on previous actions at an individual level and try to reach the goals in a collaborative manner. In order to ensure fair and transparent utilization of resources, marketplace scenario is implemented, so that resources are distributed to agents where they are most needed. The use-case implemented on hardware ensures the connectivity of each device in a same network to make an efficient interaction with each other during the buying-selling process. The work would ensure that the system is regulated and provides an interoperable digital platform for all the agents and devices form different ecosystem to interact. |
URI: | http://10.1.7.192:80/jspui/handle/123456789/9370 |
Appears in Collections: | Dissertation, EC (ES) |
Files in This Item:
File | Description | Size | Format | |
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18MECE08.pdf | 18MECE08 | 2.58 MB | Adobe PDF | ![]() View/Open |
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