Abstract

The evolution of Smart City projects is pushing researchers and companies to develop more efficient embedded hardware and also more efficient communication technologies. These communication technologies are the focus of this work, presenting a new routing algorithm based on dynamically-allocated sub-networks and node roles. Among these features, our algorithm presents a fast set-up time, a reduced overhead and a hierarchical organization, which allows for the application of complex management techniques. This work presents a routing algorithm based on a dynamically-allocated hierarchical clustering, which uses the link quality indicator as a reference parameter, maximizing the network coverage and minimizing the control message overhead and the convergence time. The present work based its test scenario and analysis in the density measure, considered as a node degree. The routing algorithm is compared with some of the most well known routing algorithms for different scenario densities.

Highlights

  • Smart City is a concept that is rising in the last years

  • With this goal in mind, we propose a new routing algorithm based on the Link Quality Indicator (LQI), which is hierarchically organized in sub-networks, that improves the convergence time and the message control overhead for Smart City/Internet of Things (IoT) scenarios with a small-/medium-density where the coverage is a critical parameter

  • This paper presents a new routing algorithm focused on the architecture of Smart City, where the locality principle is exploited

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Summary

Introduction

Smart City is a concept that is rising in the last years. It is an academic topic, and a trending topic for political and public organizations. Embedded electronics are a very interesting option today for the development of a Smart City infrastructure It presents different possibilities like 8-, 16-, 32or 64-bit architectures, low-power systems, cable- or wireless-communications, etc. These technologies are a major area of research, mainly IEEE 802.11 and IEEE 802.15.1, but considering the scenario and topic of this work, IEEE 802.15.4 is the most suitable standard because it is oriented towards wireless sensor networks (WSN) and low-rate communications. This standard is well-known in industrial sectors or areas like home automation, so it is logical to extend its application to the Smart City.

Routing Algorithms for WSN
Node States
Sub-Network Concept
Sub-Network Routing
Simulation
Convergence Time
Number of Messages Sent during the Set-up Phase
Energy Consumption
Set-up Phase Convergence Time
Number of Messages Sent during the Set-Up Phase
Energy Consumption during the Set-up Phase
Conclusions
Full Text
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