The impact of topology on internet of things : a multidisciplinary review

Date
2018
Authors
De Masi, Giulia
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
The Internet of Things is an emerging new field in the scenario of modern telecommunications. It is expected that by 2020 it will consists of billions of things or objects connected through Bluetooth and wireless connections. This is a huge network consisting of nodes - as sensors, actuators, RFID tags, mobile phones etc.-interacting each other and cooperating to reach common goals. IoT is characterized by a large heterogeneity both of objects and connections. Despite this heterogeneity, different objects interact through their complex architecture of connections (topology). Topology plays a crucial role in main issues of IoT, like traffic, delay, scalability, power consumption, synchronization, error tolerance, automatic search of devices and malware diffusion. The theoretical background to study IoT spans different disciplines, from Engineering to Mathematics (Graph Theory), from Statistical Physics (in particular Complex Networks) to Social Sciences. This paper tries to review the existing literature from different scientific communities and provides main concepts from Graph Theory and Complex Networks to analyze the IoT topology and model its dynamics and evolution. © 2018 IEEE.
Description
This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2018 Advances in Science and Engineering Technology International Conferences (ASET) (2018), available online at: https://doi.org/10.1109/ICASET.2018.8376837.
Keywords
Advanced traffic management systems, Complex networks, Graph theory, Mobile phones, Statistical physics, Topology, Trees (mathematics), Automatic searches, Complex architectures, Data Science, Error tolerance, Huge networks, Internet of Things (IoT), Scientific community, Wireless connection, Complex Networks, Data science
Citation
De Masi, G. (2018). The impact of topology on Internet of Things: A multidisciplinary review. In 2018 Advances in Science and Engineering Technology International Conferences, ASET 2018 (pp. 1–6). https://doi.org/10.1109/ICASET.2018.8376837