A wireless interference-aware internet-of-things gateway placement framework with genetic algorithm approach
IoT (Internet-of-Things) gateways are deployed together with sensor nodes to facilitate manageability, and operational cost of the IoT system. Gateway placement optimization is implemented to strategically placing the IoT gateways, aiming to fulfil different technical requirements on top of minim...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2022
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| Online Access: | http://eprints.utar.edu.my/6353/ http://eprints.utar.edu.my/6353/1/CEA_2022_KZW_%2D_1506682.pdf |
| Summary: | IoT (Internet-of-Things) gateways are deployed together with sensor
nodes to facilitate manageability, and operational cost of the IoT system.
Gateway placement optimization is implemented to strategically placing the IoT
gateways, aiming to fulfil different technical requirements on top of minimizing
the number of gateway. However, there is no existing gateway placement
scheme that considers all the factors of number of gateways, sensor nodes
coverage, lateral bound (inter-gateway) connections, redundancy for fault
tolerance and dynamic changes of sensor nodes’ location.
Therefore, this work proposes a framework to optimized gateway
placement that considers all the aforementioned factors. The solution takes the
layout of sensor nodes as input and generates a set of proposed IoT gateway
locations. The framework generates the solution using genetic algorithm. Our
experimental results show that solution can be generated with relatively low
processing power even for a relatively wide search space. One of the
contributions of this work is the formalization of the fitness function for genetic
algorithm.
A series of simulations were designed and carried out to benchmark our
framework against existing solutions with different evaluation criteria based on
the consideration factors. Our framework gave promising results in terms of
lower wireless network overlapping, minimized number of gateways required to
cover all sensor nodes without compromising redundancies for fault-tolerance,
and shorter overall distance of gateway movements required during the
relocation due to the change of sensor nodes layout. |
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