An Eco-friendly Hybrid
   Urban Computing
   Network Combining
   Community-based
   Wireless LAN Access
   and Wireless Sensor
   Networking
Maarten Wijnants - Wim Lamotte
Hasselt University – EDM – iMinds | firstname.lastname@uhasselt.be
Nicolas Letor – Chris Blondia
University of Antwerp – iMinds – PATS | firstname.lastname@ua.ac.be
Eli De Poorter - Dries Naudts - Stijn Verstichel - Bart Lannoo - Ingrid Moerman
Department of Information Technology – iMinds – Ghent University | firstname.lastname@intec.ugent.be
Nelson Matthys - Christophe Huygens
iMinds–DistriNet - Department of Computer Science – KU Leuven | firstname.lastname@cs.kuleuven.be

                                                                                                       1
An Eco-friendly
    Hybrid Urban Computing Network Combining
          Community-based WLAN Access
          and Wireless Sensor Networking

   Societal of of technology of tiers
    Number attention for
    Wi-Fi crowdsourcing environmentalism
    Hybrid network consistingand in the city and
    Integration sensors deployed2computational
   ecological sustainability is eachshare their
    power residentsinterfaced withnearly relevantwireless
    Enables dynamic aggregation of becoming
       City in public environments
      Separate yet are encouraged to other
      Internet connection
    common aspects from
    Involves practice
    environmental measurements and real-time
     Minimize ecological impact objects
    Guaranteescomputing access to digital services
      Pervasive city-scale
    status tracking of physical of products and
   informationdevelopment of value-added end-user
      Embeddedand Internet-based services
    Network includes measures to reduce
       Scaffolds computing
    environmentalpeople’s continuously burgeoning
      applications that are consumable through the
      Helps satisfy footprint of WSN subsystem
       Internet of Things (IoT)
     desires conservation access network to ubiquitous
      community-powered
      Energy and requirements with regard
      information access and digital service consumption


         23/11/2012       CPSCom 2012                       2
Outline
 Architectural Design
 Composing Technologies and Features
     WSN Architecture
     Sensor Design and Hardware
     Community-based Wi-Fi Access
     Green Intelligence for Eco-friendly WSNs
     Application Framework
 Proof-of-Concept Deployment
 Example Urban Services
 Conclusions
        23/11/2012       CPSCom 2012             3
Architectural Design
                               Integrated urban
                                computing
                                environment
                                 Multiple WSNs
                                 Community Wi-Fi
                                  network
                                 Back-end server
                                  LAN
                                 Intelligent “green”
                                  middleware


                CPSCom 2012                             4
Architectural Design
                               Wireless Sensor
                                Network
                                 Capture information
                                  about physical
                                  space
                                 Transmit
                                  measurements to
                                  back-office




                CPSCom 2012                         5
Architectural Design
                               City-wide community-
                                sustained Wi-Fi
                                network
                                 Acts as uplink for
                                  WSNs
                                 Provides Internet
                                  access for end-users
                                 Cluster of wireless
                                  Access Points owned
                                  by volunteer citizens
                                  or governmental
                                  agencies
                CPSCom 2012                         6
Architectural Design
                               Back-end server LAN
                                 Persistent storage of
                                  WSN observations
                                 Centralized access to
                                  WSN data for
                                  authorized external
                                  parties
                                    Via relational DB
                                 Community manager
                                  and controllers for
                                  WLAN mobility
                                  solution

                CPSCom 2012                              7
Architectural Design
                               “Green” intelligence
                                 Distributed sensor
                                  reasoning framework
                                 Green WSN
                                  middleware
                               Distributed approach
                                 Limited intelligence on
                                  WSN nodes
                                    Local optimum
                                 Back-office
                                  coordinator
                                    Global optimum across
                CPSCom 2012
                                     all WSNs          8
Outline
 Architectural Design
 Composing Technologies and Features
     WSN Architecture
     Sensor Design and Hardware
     Community-based Wi-Fi Access
     Green Intelligence for Eco-friendly WSNs
     Application Framework
 Proof-of-Concept Deployment
 Example Urban Services
 Conclusions
        23/11/2012       CPSCom 2012             9
WSN Architecture
 Involves heterogeneous types of devices
   Sensor nodes sense physical environment
      Lack routing functionality to reduce complexity
   Sensor routers provide multi-hop capabilities
      IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL)
   Sensor gateway serves as sensor node uplink
      Internet access via community-based Wi-Fi network
 Communication-wise exclusive use of
  standardized IEEE and IETF network protocols
   E.g., IEEE 802.15.4 and 6LoWPAN
   Sensor data transported to back-end via IETF CoAP
    (specialized RESTful web transfer protocol)
      23/11/2012            CPSCom 2012                       10
Sensor Design and Hardware
                     Radio operates in 169
                      MHz frequency band
                          Recently reallocated by
                           European Commission
                          Far less hindrance of
                           obstacles & weather effects
                              Lower dynamic link failures
                               and boosted tx range
                     Backward compatibility
                      with legacy sensor nodes
                      via secondary 868 MHz
                      RF transceiver
               CPSCom 2012                             11
Community-based Wi-Fi Access
                   Individual city-wide Wi-Fi
                    community APs (CAPs)
                        Wi-Fi sharing cfr Fon
                        Geographically clustered
                         into Virtual Access Areas
                             All VAAs share one SSID
                   Virtual Private Ad Hoc
                    Network (VPAN) overlay
                        Securely connects CAPs
                         with back-end servers
                        Management and
                         coordination in back-office
              CPSCom 2012                           12
Community-based Wi-Fi Access
                   End-user connects to
                    CAP with Wi-Fi terminal
                        No specialized software
                   Mobility solutions allow
                    free roaming while
                    consuming information
                        Seamless intra-VAA
                         session handover among
                         constituting CAPs
                        Transparent inter-VAA
                         handover
                             Slight service interruption
              CPSCom 2012                               13
Green Intelligence for Eco-friendly WSNs
 Distributed sensor reasoning framework
   Configures sensor nodes for ecological operation
      Primarily in terms of energy expenditure
   Implemented at two separate levels
      Limited reasoning on individual sensor nodes to determine
       local energy consumption optimum through direct
       manipulation of proprietary low-level attributes
      Holistic reasoning on back-end coordinator to enforce a
       global optimum for each WSN as a whole
   Example configurable parameters include polling
    frequency, sleeping strategies, tx power, etcetera
   Sensor model designed as extension of the W3C
    Semantic Sensor Network Ontology
      23/11/2012           CPSCom 2012                             14
Green Intelligence for Eco-friendly WSNs
 Component and Policy Infrastructure (CaPI)
   Combination of component-based runtime and policy-
    driven management framework
      Components are coarse-grained, service-like functional units
      Policies are fine-grained scripts that encapsulate specific
       rules to govern runtime behavior of the sensor
   Allows for cost-effective reconfiguration and
    reorientation of WSN software over time
   Dynamic deployment of CaPI components and
    policies is controlled by the back-end
   Results in significant flexibility, removes need for
    expensive replacements of sensor software image
    and yields meaningful energy and operational savings
      23/11/2012           CPSCom 2012                            15
Application Framework
 Facilitates development of urban services
 Separation of concerns design
   Clean division between sensor networks and services
   Relational database is enacted as go-between
      CoAP-based RESTful interface for sensor data storage
      HTTP-based RESTful interface for database querying
   Numerous advantages: simplified security, obsoletes
    IPv4/v6 protocol translation, declarative programming, …
 Besides bare sensor measurements, DB maintains
   Hardware, software and network characteristics of WSNs
      Fed to green sensor intelligence via D2R engine
   Service-dependent information (scaffolds execution)
      23/11/2012           CPSCom 2012                        16
Outline
 Architectural Design
 Composing Technologies and Features
     WSN Architecture
     Sensor Design and Hardware
     Community-based Wi-Fi Access
     Green Intelligence for Eco-friendly WSNs
     Application Framework
 Proof-of-Concept Deployment
 Example Urban Services
 Conclusions
        23/11/2012       CPSCom 2012             17
Proof-of-Concept Deployment
 Comprehensive Proof-of-Concept roll out in Ghent
   Belgian city with population of ~250.000 people
 Involved sensor hardware : ~50 sensor nodes
 Involved Wi-Fi hardware
   At least 10 CAPs, divided in 2 or 3 VAAs
      ~2 square kilometers Wi-Fi coverage
   Back-office: VAA Controllers (1 per VAA) and 1 VPAN
    Agent, Dimensioning Controller, Community Gateway
 Objectives:
   Confirm technological validity of proposed architecture
   Evaluate qualitative features of dual design and services
      23/11/2012          CPSCom 2012                    18
Proof-of-Concept Deployment
 Emphasis on monitoring 2
  distinct physical properties
    Depending on involved
     property, different sensors
     mounted on sensor board
    Car parking spaces
       Measure distortion of earth’s
        magnetic field in 3 spatial axes
       Deployed within “speeddisk”
    Garbage bin lid opening
       Magnet-activated reed switch


                             CPSCom 2012   19
Outline
 Architectural Design
 Composing Technologies and Features
     WSN Architecture
     Sensor Design and Hardware
     Community-based Wi-Fi Access
     Green Intelligence for Eco-friendly WSNs
     Application Framework
 Proof-of-Concept Deployment
 Example Urban Services
 Conclusions
        23/11/2012       CPSCom 2012             20
Personal Parking Assistant (PPA)
 Outdoor parking control service for hand-helds
    Dynamically visualizes vacancy information pertaining to
     parking locations near a certain destination
 Promising tool to alleviate the burden of searching
  for an available parking spot
 Direct revenue for end-users
    Witness an improvement of their urban life
 Indirect benefit for the municipality stakeholder
    Positive impact on people’s perception of commuting
    Gains insight in parking patterns within their territory
       Could be exerted in future urban planning initiatives
       23/11/2012            CPSCom 2012                        21
Garbage Bin Tampering Monitor (GBTM)
 Public garbage bins for small-size litter disposal via
  a hole in their lid
     Cover needs to be removed to empty the dustbin
        Operation strictly reserved for municipal employees
   Garbage bin sensor records lid opening/closing
   Sensor observations and timestamps stored in DB
   Web-based interface allows measurement retrieval
   Objectives and advantages
     Facilitate detection of illegal activities (e.g., vandalism)
     Optimize garbage collection routes and timetables

         23/11/2012          CPSCom 2012                        22
Outline
 Architectural Design
 Composing Technologies and Features
     WSN Architecture
     Sensor Design and Hardware
     Community-based Wi-Fi Access
     Green Intelligence for Eco-friendly WSNs
     Application Framework
 Proof-of-Concept Deployment
 Example Urban Services
 Conclusions
        23/11/2012       CPSCom 2012             23
Conclusions
 Proposed dual urban computing infrastructure
  integrates wireless sensing with community Wi-Fi
   The WSN architecture realizes physical sensing
   City-scale crowdsourcing of Wi-Fi access points
    guarantees pervasive Internet access
      Accommodates ubiquitous client-side digital service delivery
   Multi-faceted nature yields an end-to-end solution
      Operational chain spans from data registration at IoT node level
       all the way up to end-user service consumption via Wi-Fi
   Ecologically inspired measures (energy minimization)
 Example urban services offer taste of myriad of
  enabled innovative and value-added services
      23/11/2012           CPSCom 2012                             24
Thank You for
Your Attention

                 Questions?


                          25

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CPScom2012_mwijnants

  • 1. An Eco-friendly Hybrid Urban Computing Network Combining Community-based Wireless LAN Access and Wireless Sensor Networking Maarten Wijnants - Wim Lamotte Hasselt University – EDM – iMinds | firstname.lastname@uhasselt.be Nicolas Letor – Chris Blondia University of Antwerp – iMinds – PATS | firstname.lastname@ua.ac.be Eli De Poorter - Dries Naudts - Stijn Verstichel - Bart Lannoo - Ingrid Moerman Department of Information Technology – iMinds – Ghent University | firstname.lastname@intec.ugent.be Nelson Matthys - Christophe Huygens iMinds–DistriNet - Department of Computer Science – KU Leuven | firstname.lastname@cs.kuleuven.be 1
  • 2. An Eco-friendly Hybrid Urban Computing Network Combining Community-based WLAN Access and Wireless Sensor Networking  Societal of of technology of tiers Number attention for Wi-Fi crowdsourcing environmentalism Hybrid network consistingand in the city and Integration sensors deployed2computational  ecological sustainability is eachshare their power residentsinterfaced withnearly relevantwireless Enables dynamic aggregation of becoming City in public environments  Separate yet are encouraged to other  Internet connection common aspects from Involves practice environmental measurements and real-time   Minimize ecological impact objects Guaranteescomputing access to digital services  Pervasive city-scale status tracking of physical of products and  informationdevelopment of value-added end-user  Embeddedand Internet-based services Network includes measures to reduce Scaffolds computing environmentalpeople’s continuously burgeoning  applications that are consumable through the  Helps satisfy footprint of WSN subsystem Internet of Things (IoT)  desires conservation access network to ubiquitous community-powered Energy and requirements with regard information access and digital service consumption 23/11/2012 CPSCom 2012 2
  • 3. Outline  Architectural Design  Composing Technologies and Features  WSN Architecture  Sensor Design and Hardware  Community-based Wi-Fi Access  Green Intelligence for Eco-friendly WSNs  Application Framework  Proof-of-Concept Deployment  Example Urban Services  Conclusions 23/11/2012 CPSCom 2012 3
  • 4. Architectural Design  Integrated urban computing environment  Multiple WSNs  Community Wi-Fi network  Back-end server LAN  Intelligent “green” middleware CPSCom 2012 4
  • 5. Architectural Design  Wireless Sensor Network  Capture information about physical space  Transmit measurements to back-office CPSCom 2012 5
  • 6. Architectural Design  City-wide community- sustained Wi-Fi network  Acts as uplink for WSNs  Provides Internet access for end-users  Cluster of wireless Access Points owned by volunteer citizens or governmental agencies CPSCom 2012 6
  • 7. Architectural Design  Back-end server LAN  Persistent storage of WSN observations  Centralized access to WSN data for authorized external parties  Via relational DB  Community manager and controllers for WLAN mobility solution CPSCom 2012 7
  • 8. Architectural Design  “Green” intelligence  Distributed sensor reasoning framework  Green WSN middleware  Distributed approach  Limited intelligence on WSN nodes  Local optimum  Back-office coordinator  Global optimum across CPSCom 2012 all WSNs 8
  • 9. Outline  Architectural Design  Composing Technologies and Features  WSN Architecture  Sensor Design and Hardware  Community-based Wi-Fi Access  Green Intelligence for Eco-friendly WSNs  Application Framework  Proof-of-Concept Deployment  Example Urban Services  Conclusions 23/11/2012 CPSCom 2012 9
  • 10. WSN Architecture  Involves heterogeneous types of devices  Sensor nodes sense physical environment  Lack routing functionality to reduce complexity  Sensor routers provide multi-hop capabilities  IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL)  Sensor gateway serves as sensor node uplink  Internet access via community-based Wi-Fi network  Communication-wise exclusive use of standardized IEEE and IETF network protocols  E.g., IEEE 802.15.4 and 6LoWPAN  Sensor data transported to back-end via IETF CoAP (specialized RESTful web transfer protocol) 23/11/2012 CPSCom 2012 10
  • 11. Sensor Design and Hardware  Radio operates in 169 MHz frequency band  Recently reallocated by European Commission  Far less hindrance of obstacles & weather effects  Lower dynamic link failures and boosted tx range  Backward compatibility with legacy sensor nodes via secondary 868 MHz RF transceiver CPSCom 2012 11
  • 12. Community-based Wi-Fi Access  Individual city-wide Wi-Fi community APs (CAPs)  Wi-Fi sharing cfr Fon  Geographically clustered into Virtual Access Areas  All VAAs share one SSID  Virtual Private Ad Hoc Network (VPAN) overlay  Securely connects CAPs with back-end servers  Management and coordination in back-office CPSCom 2012 12
  • 13. Community-based Wi-Fi Access  End-user connects to CAP with Wi-Fi terminal  No specialized software  Mobility solutions allow free roaming while consuming information  Seamless intra-VAA session handover among constituting CAPs  Transparent inter-VAA handover  Slight service interruption CPSCom 2012 13
  • 14. Green Intelligence for Eco-friendly WSNs  Distributed sensor reasoning framework  Configures sensor nodes for ecological operation  Primarily in terms of energy expenditure  Implemented at two separate levels  Limited reasoning on individual sensor nodes to determine local energy consumption optimum through direct manipulation of proprietary low-level attributes  Holistic reasoning on back-end coordinator to enforce a global optimum for each WSN as a whole  Example configurable parameters include polling frequency, sleeping strategies, tx power, etcetera  Sensor model designed as extension of the W3C Semantic Sensor Network Ontology 23/11/2012 CPSCom 2012 14
  • 15. Green Intelligence for Eco-friendly WSNs  Component and Policy Infrastructure (CaPI)  Combination of component-based runtime and policy- driven management framework  Components are coarse-grained, service-like functional units  Policies are fine-grained scripts that encapsulate specific rules to govern runtime behavior of the sensor  Allows for cost-effective reconfiguration and reorientation of WSN software over time  Dynamic deployment of CaPI components and policies is controlled by the back-end  Results in significant flexibility, removes need for expensive replacements of sensor software image and yields meaningful energy and operational savings 23/11/2012 CPSCom 2012 15
  • 16. Application Framework  Facilitates development of urban services  Separation of concerns design  Clean division between sensor networks and services  Relational database is enacted as go-between  CoAP-based RESTful interface for sensor data storage  HTTP-based RESTful interface for database querying  Numerous advantages: simplified security, obsoletes IPv4/v6 protocol translation, declarative programming, …  Besides bare sensor measurements, DB maintains  Hardware, software and network characteristics of WSNs  Fed to green sensor intelligence via D2R engine  Service-dependent information (scaffolds execution) 23/11/2012 CPSCom 2012 16
  • 17. Outline  Architectural Design  Composing Technologies and Features  WSN Architecture  Sensor Design and Hardware  Community-based Wi-Fi Access  Green Intelligence for Eco-friendly WSNs  Application Framework  Proof-of-Concept Deployment  Example Urban Services  Conclusions 23/11/2012 CPSCom 2012 17
  • 18. Proof-of-Concept Deployment  Comprehensive Proof-of-Concept roll out in Ghent  Belgian city with population of ~250.000 people  Involved sensor hardware : ~50 sensor nodes  Involved Wi-Fi hardware  At least 10 CAPs, divided in 2 or 3 VAAs  ~2 square kilometers Wi-Fi coverage  Back-office: VAA Controllers (1 per VAA) and 1 VPAN Agent, Dimensioning Controller, Community Gateway  Objectives:  Confirm technological validity of proposed architecture  Evaluate qualitative features of dual design and services 23/11/2012 CPSCom 2012 18
  • 19. Proof-of-Concept Deployment  Emphasis on monitoring 2 distinct physical properties  Depending on involved property, different sensors mounted on sensor board  Car parking spaces  Measure distortion of earth’s magnetic field in 3 spatial axes  Deployed within “speeddisk”  Garbage bin lid opening  Magnet-activated reed switch CPSCom 2012 19
  • 20. Outline  Architectural Design  Composing Technologies and Features  WSN Architecture  Sensor Design and Hardware  Community-based Wi-Fi Access  Green Intelligence for Eco-friendly WSNs  Application Framework  Proof-of-Concept Deployment  Example Urban Services  Conclusions 23/11/2012 CPSCom 2012 20
  • 21. Personal Parking Assistant (PPA)  Outdoor parking control service for hand-helds  Dynamically visualizes vacancy information pertaining to parking locations near a certain destination  Promising tool to alleviate the burden of searching for an available parking spot  Direct revenue for end-users  Witness an improvement of their urban life  Indirect benefit for the municipality stakeholder  Positive impact on people’s perception of commuting  Gains insight in parking patterns within their territory  Could be exerted in future urban planning initiatives 23/11/2012 CPSCom 2012 21
  • 22. Garbage Bin Tampering Monitor (GBTM)  Public garbage bins for small-size litter disposal via a hole in their lid  Cover needs to be removed to empty the dustbin  Operation strictly reserved for municipal employees  Garbage bin sensor records lid opening/closing  Sensor observations and timestamps stored in DB  Web-based interface allows measurement retrieval  Objectives and advantages  Facilitate detection of illegal activities (e.g., vandalism)  Optimize garbage collection routes and timetables 23/11/2012 CPSCom 2012 22
  • 23. Outline  Architectural Design  Composing Technologies and Features  WSN Architecture  Sensor Design and Hardware  Community-based Wi-Fi Access  Green Intelligence for Eco-friendly WSNs  Application Framework  Proof-of-Concept Deployment  Example Urban Services  Conclusions 23/11/2012 CPSCom 2012 23
  • 24. Conclusions  Proposed dual urban computing infrastructure integrates wireless sensing with community Wi-Fi  The WSN architecture realizes physical sensing  City-scale crowdsourcing of Wi-Fi access points guarantees pervasive Internet access  Accommodates ubiquitous client-side digital service delivery  Multi-faceted nature yields an end-to-end solution  Operational chain spans from data registration at IoT node level all the way up to end-user service consumption via Wi-Fi  Ecologically inspired measures (energy minimization)  Example urban services offer taste of myriad of enabled innovative and value-added services 23/11/2012 CPSCom 2012 24
  • 25. Thank You for Your Attention Questions? 25