Internet of Things

Wireless
Sectors	Wireless
Contact	David Witkowski
Topics	Case Studies Case Study Summary Findings & Discussion Considerations for Deploying Municipal IoT Funding Models History of Public WiFi Impacts to Municipal Governments of IoT Networks Internet of Things Introduction to Public WI-FI Use Cases Legal Issues Marketing & Outreach Practical Guide: Deploying an IoT Network Practical Guide: IoT Cybersecurity & Privacy Procurement Project Management Technology Strategy The Current State of Municipal IoT Deployments Wireless Blueprint
Activities Amsterdam IoT Living Laboratory and Beacon mile We provide public networks, open infrastructure and data for developers to accelerate emerging IoT innovations for Smart City solutions Glimworm creates Internet of Things infrastructure for the city of Amsterdam via the IoT Living Lab by installing Eddystone beacons, iBeacons, sensors and LoRa (long range) wireless networks that accelerate smart citizen solutions. KPN creates a digital infrastructure by connecting all objects in the city to the www. The Living Lab in Amsterdam is open and implemented in public spaces to provide access to developers and solution providers to test next generation interactive (mobile) applications and sensors that also generate open data thus creating new value chains across industries and economy of scale The goal of IoT Living Lab is to provide IoT infrastructure and actionable Open Data and developer friendly platforms for emerging IoT innovations which stimulates the creation of new startups and (mobile-) applications making a rapid impact on the local economy.” An Open Architecture IoT Platform for a Sustainable Smart City BEMOSS®-Plus is an open-architecture platform that allows integration of IoT devices for energy savings, security, solar PV and storage in buildings. Its versatility will allow the management of energy usage (e.g., electricity and gas) for the entire city, including traffic and security monitoring. The project involves piloting BEMOSS®-Plus in Arlington County, the City of Alexandria and Virginia Tech university campus. Campus Array Node and Array of Things Network Dual Deployment The Project entails the dual deployment of Argonne National Labs’ Array of Things (AoT, v.2) and Georgia Tech Research Institute’s Campus Array Node (CAN, v.1). In combination, these two sensor networks will aid multi-modal transit from the perspective of both operators and users. Partnering with the City of Atlanta, Georgia Tech Research Institute, and Argonne National Labs, and focusing on issues related to multi-modal transit, the Project focuses on the on-the-ground interoperation of two Internet of Things systems—AoT focused on environmental sensing and CAN focused on traffic/public safety monitoring—and how to display real-time data for public transit operators, pedestrians, and officials in meaningful ways that inform efficient, effective, and comfortable use of various mobility options. From the engineering and infrastructural considerations to the political and community issues, the Project is a case study of a cyber-physical system that will result in a model of how to proceed with issues of interoperable Internet of Things systems, from technical standards to community engagement to areas of future work. Environmental Sensing Across the Metro DC Region Create a network of environmental sensors placed on campuses throughout Washington DC that are participating in the DC MetroLab partnership. This effort will enable public access to environmental data like temperature, wind, gas and particulate concentration, and even traffic flows, simultaneously from all over the city. Involves city technology, planning, and networking agencies and MetroLab partners; George Washington, Georgetown, American, Howard and The District of Columbia Universities. EnvyPorto Through small and low cost sensing stations that can be installed in the urban infrastructure, it is possible to create a dynamic high level map of indicators on air quality, noise pollution levels, temperature, atmospheric pressure, humidity and luminosity. Using this high level map in articulation with the data collected using a small number of certified sensing stations (usually high-cost stations), cities will be able to define dynamic urban policies, namely on mobility and energy. Galway Smart City Galway has pioneered some smart city ideas. It has implemented an award winning 3 bin recycling scheme that achieved higher levels of recycling than any before seen in Ireland. Galway was the first city in Ireland to achieve the European Energy Award. It is involved in a number of projects to reduce energy usage and to lower the levels of carbon emissions. It adopted a smarter travel policy, including a new public transport strategy, various schemes to encourage citizen’s mobility (cycling and walking) and improved traffic management systems. The ‘slow the flow’ programme reduced the amount of drinking water being wasted in the City. In terms of education, Galway was possibly the first City in the world to achieve Green Flag status in all of its schools. Galway Smart City - Light Pollution This project ensure the design of external lighting that minimizes the incidence of light pollution, glare and spillage into the surrounding environment and has due regard to the visual and residential amenities of surrounding areas. Galway Smart City - Air Quality and Noise This project aims for maintaining air quality to a satisfactory standard by regulating and monitoring atmospheric emissions in accordance with EU directives on air quality, by promoting and supporting initiatives to reduce air pollution, by increasing the use of public transport, developing urban woodland, encouraging tree planting and conserving green open space. Global High Impact Energy Efficiency Objectives: kWh usage, cost, and carbon emission savings by managing power on computers without impacting user productivity, or IT maintenance via software IOT sensor Savings significantly impacts all Sustainability Plans with energy efficiency, Carbon Emission reductions, and kWh aversion. Scalable on a Global basis. No Cost, minimal effort POC to show savings using real data from the prospect’s environment. Minimal impact on IT schedules, savings in under 90 days. Illuminating Smart Cities: Kansas City Runs on IoT Platform Kansas City, MO (KCMO) and its partners have designed and implemented an IoT platform to develop a smart city network, starting with Kansas City’s streetcar starter line in their Downtown area. Based on this initial site, the team has will implement a model that would make Kansas City the largest smart city network in North America. IoT Device Security for Smart Cities Objectives Use of PKI to mutually-authenticate IoT devices to networks & gateways Secure provisioning, registration and production PKI certificates Life-Cycle Management of IoT Device certificates IoT Enabled Smart City Workshop Create tutorials, workshop and practice use cases for smart cities. Demonstrate smart city applications as per NIST framework (work in progress). The workshop also discusses about IoT standards and protocol which would help ; community partners and city/municipality staff to get familiar with national as well as international IoT standards. Demonstrate how the vulnerability and external threats affect Cybersecurity and privacy. Build a model for the city and municipality leaders to visualize and take corrective steps. Build prototypes as per municipalities requirement and scale for other cities. Utilize NSF funded Maker’s space at Sonoma State University. The Lab is open for all cities/municipalities to build their proto types. The Lab has facilities to build product from scratch. (paper concept to proto type) IoT and AI based Smart Energy Management System for Smart City IoT & AI based Smart Energy Management Platform was deployed in public buildings in Suwon City to provide optimal management building facilities, environment, and energy using the urban 3D map and 3D spatial modeling. With the M&V (Measurement & Verification) engine using a standard algorithm, IPMVP (International Performance Measurement and Verification Protocol) as well as data intelligence technology with deep-learning, the platform can quickly measure energy performance and determine energy efficiency. IoT based waste management system-Smart Garbage Monitoring System Smart Garbage Monitoring System (SGMS) is a real time indicator of the level of trash at any given time. SGMS Optimize waste collection routes and ultimately reduce fuel consumption. It allows trash collectors to plan their daily/weekly pick up schedule. SGMS is to detect garbage level in Garbage Can. A unique identification number ( ID) is given to each can. As soon as the Garbage Can is full/ over flowing then a SMS is sent to the server from where all the garbage collection vehicles are allotted. IoT for Mitigation - Telemedicine IoT-based Smart Energy Management System for Smart Green City The purpose of this research is to develop the convergence technologies of IoT-based smart energy management system that can minimize building energy use and utility bills. To accomplish the goal, The research objectives are proposed in the followings: Development of IoT-based optimal control and performance evaluation technology based on big data analysis, Development of IoT- based smart energy management platform, IoT devices, and application technology Development of 3D object-oriented information modeling and data visualization based on Geographic information system(GIS) Establishment of test-beds with an integrated smart energy management system Open platform for scalable and multi-domain IoT applications for smart cities Objectives To adopt FIWARE as a flexible framework to build multi domain Internet of Things applications. To prove the easy replicability of a FIWARE based IoT application on preventing environmental disasters deployed in Genoa, in another IoT application on smart smart parking needed in Milan. To prove the interoperability between an open platform deployed in Turin for implementing a waste management application and FIWARE. Smart Replicable Solutions to Water-Energy Nexus Challenges The goal of this action cluster is to provide innovative solutions for managing drinking water, wastewater, stormwater and source water resources efficiently and effectively. SmartCU - Covenant University Smart City Objectives The project seeks to create an instrumented, interconnected and intelligent work, social and living environment that engender positive real-time interaction of people, places, things and processes with the Covenant University community. The goal is to create a smart community through an integration of relevant emergent technologies such as Internet of things (IoT), cloud computing, ICT networks, wireless sensor networks, artificial intelligence, and Big Data analytics. The emphasis is on the creation of a model Smart City, using Covenant University as the case study.

Authors

The scope of this Blueprint will be on the IoT networks themselves – the physical and logical layers, not necessarily the software applications and data generated therefrom.

To this end, this Blueprint employs the following nomenclature:

Municipal IoT Network: Network-connected devices, installed in a networked system of protocols, wired and/or wireless communications technologies, computer servers and software, used by governmental entities.

Network-connected Devices: Sensors, actuators, connected vehicles; energy usage monitoring sensors; physical access control security systems and lighting; utility control and metering systems; intelligent traffic monitoring and management; public safety sensors (gunshot detection, cameras, bike lane monitoring); street light sensors; etc.

The Figure below provides a mental map for understanding the basic outline of a Municipal IoT network. These networks are, essentially, cyber-physical systems that underpin the various domain-specific applications and outcomes that Smart Communities hope to achieve, such as improved Public Safety, Transportation, Broadband, Economic Development, etc.

Section 1: Impacts of IoT to Municipal Government and is a generalized discussion of six ways IoT networks will change government operations in the future. Areas as diverse and varies as governmental service delivery, government operating costs, outcomes in local economies, environmental sustainability, and digital and social equity all may be affected by improvements in technology that will stem from IoT and Smart Communities. This section attempts to answer the fundamental questions: Why should government officials care about IoT and why does this matter?

Section 2: Considerations for Deploying Municipal IoT Networks examines the models that local governments have considered for IoT networks deployments. These models generally fall into one of two categories: 1) government agencies build and maintain their own IoT networks and services; and 2) cellular and telecommunications firms build and maintain networks that government agencies can subscribe to as-a-service (in a manner similar to how we subscribe to cellular phone service). We explore these as well as additional models, such as public-private partnerships. Security, the concept of “regionalization”, interoperability, and civic engagement are additional considerations discussed.

Section 3: The Current State of Municipal IoT presents research findings developed for this report, derived from an online survey conducted in January 2019. A key takeaway from the survey is support for the notion that the Municipal IoT is still in the “early adopter” stage and some years out from reaching maturity.

Section 4: Case Study Summary Findings & Discussion also presents firsthand research developed for this report: case studies of local government leaders who have deployed IoT networks in their communities, from the cities of San Diego, CA; San Leandro, CA; Calgary, AB Canada; and the County of San Mateo, CA. These structured interviews provide a rich source of qualitative data and uncover important lessons for all Municipal IoT deployments. (All interviewees have graciously agreed to share their stories on record.)

The next two sections are comprised of in-depth technical, hands-on guides intended to inform and guide local government decision makers, officials, staff, and others with an interest in municipal IoT networks.

Section 5: A Practical Guide to Deploying Municipal IoT Networks is a hands-on, systematic walkthrough to assess IoT networks for government agencies and contains a wealth of managerial and technical information.

Section 6: A Practical Guide to IoT Cybersecurity and Privacy guides decision makers through the complex but critical areas of cybersecurity and privacy.

Section 7: Full Case Study Reports provides the full case study reports, written for this Blueprint, covering each city and project in detail.