Graph-Theoretical Approaches to Enhance Multicast Communication in IoT

Authors

Dr. Indu Pal

Abstract

The rapid expansion of the Internet of Things (IoT) has introduced unique challenges for communication networks, particularly in scenarios requiring data dissemination to multiple recipients. Multicast communication, which enables a single source to transmit data to several destinations simultaneously, is essential in IoT applications such as smart cities, healthcare, and industrial automation. However, traditional multicast protocols struggle with the dynamic topologies and resource constraints of IoT networks. Graph theory, a powerful mathematical tool for modelling and optimizing network structures, provides a promising approach to enhancing multicast efficiency. Through representing IoT networks as graphs, where nodes symbolize devices and edges represent communication links, graph-theoretical methods enable efficient multicast routing, load balancing, and fault tolerance. This paper explores various graph-theoretical techniques, including graph traversal algorithms, shortest path algorithms, and optimization methods, to address the limitations of conventional multicast communication in IoT. The application of these techniques can lead to improved network resilience, reduced latency, and optimized resource allocation, contributing to more efficient data transmission in complex IoT environments.

Keywords

Internet of Things (IoT), Multicast Communication, Graph Theory, Network Optimization, Dynamic Topologies

Graph-Theoretical Approaches to Enhance Multicast Communication in IoT. Dr. Indu Pal. 2020. IJIRCT, Volume 6, Issue 6. Pages 1-8. https://www.ijirct.org/viewPaper.php?paperId=2501061