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Enabling seamless multi-RAT networking for heterogeneous mesh networks

Smink, Ruben (2024) Enabling seamless multi-RAT networking for heterogeneous mesh networks.

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Abstract:The rise of Internet of Things (IoT) and mesh networks has revolutionized wireless communication systems, offering resilience and adaptability for a variety of applications. However, mesh networks face a persistent challenge in their ability to cooperate with one another. One form of this lack of cooperation, is the inability of incompatible mesh networks to seamlessly leverage each other's network connections for the delivery of their packets. This thesis introduces a novel approach that utilizes multi-Radio Access Technology (multi-RAT) to address this issue. Multi-RAT, with its ability to allow nodes to communicate over various mesh networks concurrently, redefines the operation of mesh networks, enhancing connectivity, efficiency and adaptability. By using incompatible mesh networks as a bridge between two compatible mesh networks, it can enable communication between two separate, but compatible mesh networks where it was previously impossible. Furthermore, the multi-RAT nodes can enable more reliable and faster communication within an already fully connected mesh network. In the process, redundant nodes and inefficient paths within these mesh networks can be eliminated. The group of mesh networks that is connected through multi-RAT nodes, will henceforth be called multi-RAT networks. Within this multi-RAT network, its multi-RAT nodes will send packets through entire mesh networks instead of one connection between nodes. Discovering optimal routes within the multi-RAT network is done through an Ant Colony Optimization algorithm, as routing packets through entire networks introduces additional variables and considerations. This thesis reviews related work, discusses design choices, technical challenges and the results of implementing such a multi-RAT approach in the open-source discrete-event network simulator ns-3. Additionally, potential future additions to this work are explored.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
Link to this item:https://purl.utwente.nl/essays/102387
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