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General Framework

A New Dimension in Communications

\begin{figure} \centering \includegraphics<1>[scale=0.7]{./images/iot-dimension-1} \includegraphics<2>[scale=0.7]{./images/iot-dimension-2} \caption*{Source: The Internet of Things, ITU Internet Reports, 2005} \end{figure}

  • Current communications brought the ABC (Always Best Connected) paradigm
  • The Internet of Things (IoT) explores a new dimension in communications

IoT Scenarios

\begin{block}{Internet of Things} The Internet of Things (IoT) generally refers to scenarios where network connectivity and computing capability extends to devices, sensors, and everyday items (ISOC IoT Overview, 2015). \end{block}

Scenario Example
Human Wearables for health monitoring
Home Heating, security automation
Retail Self-checkout, inventory optimization
Vehicles Condition-based maintenance
Cities Traffic control, environmental monitoring

IoT Reference Model

\begin{figure} \centering \includegraphics<1>[scale=0.3]{./images/iot-e2e-chain-1.eps} \includegraphics<2>[scale=0.3]{./images/iot-e2e-chain-2.eps} \includegraphics<3>[scale=0.3]{./images/iot-e2e-chain-3.eps} \includegraphics<4>[scale=0.3]{./images/iot-e2e-chain-4.eps} \includegraphics<5>[scale=0.3]{./images/iot-e2e-chain-5.eps} \caption*{Source: Overview of the Internet of Things, ITU-T Y.2060, 2012} \end{figure}

Evolution of IoT Devices

  • The largest growth is expected for devices connected to a wide-area network \begin{figure} \includegraphics[scale=0.5]{./images/ericsson-connected-devices.pdf} \caption*{Source: Ericsson mobility report, 2017} \end{figure}

The Case of IoT for Smart Agriculture

\begin{figure} \centering \includegraphics[scale=0.55]{./images/smart-agri.eps} \end{figure}

  • Periodic sensing of microclimates in vineyards

Constraints on the Device and Network Layers

  • Difficult physical accessibility and limited access to power sources
    • Wireless communications
    • Autonomy and long battery life operation
  • Wide area coverage with a large number of communicating devices
    • Scalable deployment
    • Cost efficient devices
  • Very loose bandwidth and latency constraints
    • Adaptive radio and access mechanisms

Challenge

Do existing wireless networking technologies satisfy these constraints?

LPWAN Sweet Spot

\begin{figure} \centering \includegraphics<1>[scale=0.35]{./images/spider-graph-0.eps} \includegraphics<2>[scale=0.35]{./images/spider-graph-1.eps} \includegraphics<3>[scale=0.35]{./images/spider-graph-2.eps} \includegraphics<4>[scale=0.35]{./images/spider-graph-3.eps} \caption*{Source: Peter R. Egli, Low Power Wide Area Network, 2015} \end{figure}

LPWAN Scenarios

\begin{block}{Low Power Wide Area Networks} Low power refers to the ability of an IoT device to function for many years on a single battery charge, while at the same time it is able to communicate from locations where shadowing and path loss would limit the usefulness of more traditional cellular technologies (3GPP Low Power Wide Area Technologies, GSMA White Paper, 2016) \end{block}

  • Typical scenarios for LPWAN (Usman Raza et al., Low Power Wide Area Networks: An Overview, IEEE Communications Surveys & Tutorials, 2017)
    • Smart grid
    • Industrial asset monitoring
    • Critical infrastructure monitoring
    • Agriculture

LPWAN Requirements

Indicator Requirement
Power consumption Devices operate for 10 years on a single charge
Device unit cost Below $5 per module
Dependability Completely unattended and resilient operation
Coverage Improved outdoor and indoor penetration coverage
Security Secure connectivity and strong authentication
Data transfer Supports small, intermittent blocks of data
Design complexity Simplified network topology and deployment
Network scalability Support of high density of devices

LPWAN Technologies

Various technologies are currently being designed to meet the LPWAN requirements: LoRaWAN, NB-IoT, Sigfox, Wi-SUN, Ingenu, etc.