@inproceedings{5f10b63ea83d4b3fb111433940740843,
title = "Performance analysis of large scale RF-mesh networks for smart cities and IoT",
abstract = "Smart Cities, IoT and Smart Grid development needs solid and steady communication infrastructures to support the diversity and high number of applications. RF-mesh is one of the most popular wireless technology in those context since it allows to connect a large number of nodes in a mesh topology. To study the suitability of a network infrastructure for the applications requirement, network performance analysis is needed. This paper proposes a novel Markov-modulated model for the performance analysis of large scale RF-mesh networks for smart cities applications. The instances are build using Geographical Information System (GIS) data in order to maintain fitness to actually implemented RF-Mesh systems. The model is characterized by a high scalability (e.g., thousands of nodes) and a limited computational time (i.e., in the order of some minutes). The model also takes into account implementation details, such as retransmission probability, buffer size and a precise wireless interference analysis, which are not thoroughly considered in previous RF-Mesh performance literature.",
keywords = "ALOHA, FHSS, IoT, performance analysis, RF-mesh, smart cities, Wireless Mesh Network",
author = "Filippo Malandra and Brunilde Sanso",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 ; Conference date: 23-10-2017 Through 26-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/SmartGridComm.2017.8340677",
language = "English",
series = "2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "13--18",
booktitle = "2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017",
address = "United States",
}