for Sensor Overlay Network

Transcription

1 APAN 29 th Meeting - Sensor Network Workshop Toward a Federated Framework for Sensor Overlay Network Susumu Takeuchi National Institute of Information and Communications Technology (NICT), Japan

2 Agenda Definition of Sensor Network and Sensor Network Federation Proposal of a Federated Framework for Federation 2

3 Background IP based sensors are popularized Weather station, wireless sensor network that includes tiny sensor nodes etc. is available Wired sensors tend to have many functions, whereas wireless sensors tend to be simple and a wired gateway node collects sensing data from them. Gateway node Sensor node (mote) Weather station Wireless Sensor Network (WSN) 3

4 Sensor Networks as Infrastructure Sensor Networks (SNs) are an essential infrastructure in the ubiquitous/pervasive environment Disaster Management Facility Management Traffic Control Weather Observation 4

5 Needs of Sensor Network Federation Ubiquitous/pervasive services require sensing dt data as much as possible Various kinds of many sensors will enable the services to estimate users context through these sensing data Observing over wide area and for a long period will enable to analyze world scale phenomenon However, deploying and managing gsns requires an enormous cost Federation of SNs is inadequate (= utilizing sensing data between different SNs) 5

6 What is a Sensor Network? WSN is a form of SN, but not all Sensors that are connected in the same manner and behaves like a chunk of the sensors will be also called as a Sensor Network, even if they are connected only by wire SN should be a concept that multiple sensors form a network and collect sensing data Internet Sensor Network? 6

7 Basic Unit of SN: Sensor Network Unit Definition of a Sensor Network A SN = one or more Sensor Nt Network kunits (SNUs) A SNU is a group of sensor(s) that has ONLY ONE gateway node, and MAY have sensor nodes (motes) Gateway node MUST be accessible from others via network # 1 = 1 0 Sensor Network SNU SNU Gateway Node Gateway Node Sensor Node Sensor node 1 SNU 1 SNU Concept Physical devices 7

8 Federation of Sensor Network (1/2) Collaboration among homogeneous (single architecture) SNUs Federation among heterogeneous (various architectures) SNUs SNU SNU SNU SNU SNU SNU SNU Collaborated SN Federated SN Independent SN (=SNU) Federation steps 8

9 Federation of Sensor Network (2/2) Ongoing Testbeds Live E! on PIAX (JP) X Sensor version 2 (JP) Federated Framework Live E!, X Sensor (JP) IP USN (KR) CitySense (US) Dawn of SNs Independent SN Ad hoc WSN (ZigBee/WiFi) Collaborated SN Limited area or purpose Specific operator Monitoring middleware Federated SN Extracting meaning for various purposes Various operators Looselycoupled framework 9

10 Agenda Definition of Sensor Network and Sensor Network Federation Proposal of a Federated Framework for Federation 10

11 Our attitude toward Sensor Network Federation Application (developers/users) Intelligent services that utilize sensing data Data Sharing Platform for Sensor Network Federation Management platform for storing, aggregating, and retrieving of sensing data Standard for Sensor Network Federation Access method and policy each for sensor network Metadata for sensor specification and sensing data Sensor Network (physical) Wireless Sensor Network, Sensor Network Testbed 11

12 Sensor Overlay Networks SNs should be federated in loosely coupled P2P management architecture Content Discovery Each SN is managed by a different organization, so sensing data should be mutually transferred to share Real time predictions Statistical Analysis Messaging Sensor data processing Sensor Overlay Networks Distributed Processing Overlay networks suitable for type of sensor data, services Applications / Services Context aware Contents Indoor Sensors / Actuators Sensors on Transportations L2/L3 Networks Sensor Networks Sensor Networks Wearable Sensors Medical Sensors 12

13 Requirements for SONs to Federate (1/2) Interoperability between heterogeneous SNs Difference of management policy of each domain Owner of each SN wants to manage their sensing data with their own customization and management policy at their own timing Difference of specifications Specification of data type, observation method, access method, data dt management method etc. is not the same between the products Standard of the description of access policy and metadata of sensing data/method is required 13

14 Requirements for SONs to Federate (2/2) Data management for distributed sensing data No one manages the entire of SNs, so thatt sensing data is distributed in each SN 1. Sustainability (maintainability and scalability) Tolerate unstable situations (Churn Resilient) 2. Scalable data retrieval Handle various kinds of retrieval methods (e.g., location based retrieval) to the massive sensors 3. Efficient data aggregation Avoid collecting all raw sensing data by aggregating (e.g., max, min, or average value of a certain area) 14

15 PIAX: P2P Interactive Agent extensions Java based platform that integrates: Multiple l P2P overlay discovery functions Mobile agent features Streaming PIAX Java based agent platform Navigation Reputation Sharing Various ubiquitous applications Shopping Assistant Recommendation Agents Multi Overlay Discovery Messaging Scalable Messaging by P2P Overlay Peer Flexible Computing by Mobile Agents Sensors Contents Devices Users Profiles Reputations 15

16 PIAX Structure and Features Flexible and loose coupling of different services Secure Su upport Auth, Agent library... Web Service Agents Discovery Messaging Multi Overlay Overlay Transport Physical Network Concealing heterogeneity and complexity plug in File sharing Location dependent contents Sensor handling RDF DB LL Net Nt Geographical retrieval DHT Key value store DOLR Application layer multicast Flooding Any kind of searches... S calable handling of enormo ous data and nodes 16

17 PIAX based Sensor Overlay Network Platform PIAX can support scalable data management on Federated SNs 1. Sustainability Sensor agent platform and hybrid overlay network will help to tolerate unstable situations 2. Scalable data retrieval Structured overlays and multiple overlay networks handling will help to handle distributed sensing data efficiently 3. Efficient data aggregation Distributed data fusion by overlay roaming agents will help to avoid collecting all raw sensing data Ongoing projects: Live E! on PIAX, X Sensor v2 17

18 Live E! Project Disaster Management Science Education / Agriculture Facility Management Sensor & Overlay Multi Attribute search Live E! on PIAX live e wrapper (wrapper.) weather.twnic (tw.) livee.niu.edu.tw (niu.tw.) live e root (.) live e.coe.phuket (psu.) Hadyal (IPV6 CNR HDY.psu.) live e.lru.ac.th (lru.) live e.kmd (kmd.jp.) live e2.hongo (jp.) live e2.naist (nara.jp.) In Network Data Processing Multi Domain Sensor Networking Delay Tolerant Network Embedded gateway 18

19 Live E! on PIAX Developed an agent for enabling other PIAX agents to connect Live E! sensor stations by SOAP protocol PIAX Overlay Network Live E! Agent on PIAX Web I/F Browse deployed sensors on Web browser Web I/F SOAP 20 PIAX Peers with Live E! sensors SOAP Port Sensor Data Dt Storage Live E! Weather Sensor Station SOAP I/F Sensors: Temperature Humidity Raindrop Wind speed etc. 19

20 X Sensor version 2 (based on PIAX) Users X-Sensor M u l t I - W S N T e s t b e d Testbed Server Gateway DB DB DB DB DB DB Sensor Network 20

21 Towards Sensor Overlay Network Platform Sequence of transformed data Application Continuous Query revised source aggregated source transformed source rule based deduction SensorOverlay NetworkPlatform Sequence of sensing data Storage/Archive for sensing data Virtual Sensor Sensor Nt Network kunit Collaborated dsn 1 Collaborated dsn 2 21

22 Conclusion Sensor Networks Essential infrastructure for ubiquitous or pervasive environment Should be federated for utilizing sensing data Since federation is unanticipated utilization of sensing dt data, loosely coupled l ldframework will be required Sensor Overlay Network Platform Loosely coupled framework PIAX will realize an efficient SON Platform Provide significant deduced data that satisfies versatile needs of high level applications through federated SNs 22