Magic Weaver

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Magic Weaver. An Agent Based Simulation Framework for Wireless Sensor Networks. What Should You Take Away?. Extremely High Level Overview of Sensor Networks Design Rationale of MagicWeaver Capabilities of MagicWeaver Research & Implementation – Where do we draw the line?. Outline. - PowerPoint PPT Presentation

Transcript of Magic Weaver

  • MagicWeaver

    An Agent Based Simulation Framework for Wireless Sensor Networks

  • What Should You Take Away?

    Extremely High Level Overview of Sensor NetworksDesign Rationale of MagicWeaverCapabilities of MagicWeaverResearch & Implementation Where do we draw the line?

  • Outline Sensor NetworksOverview of Sensor NetworksTypical Characteristics of Sensor DevicesTypical Application AreasResearch AreasMagicWeaverMotivationDesign,ImplementationDiscussion & Future WorkWhat I gained from it?

  • Sensor Nets OverviewCaters to the environments in which humans operateStep towards Everyday objects acting as computing devicesAdhoc Networks Vs Sensor NetworksNature of Deployment - PlannedDegree of Device Constraints - ExtremeFunctioning Mode - UnattendedScale of Devices Huge Numbers

  • Sensor Nets OverviewInfrastructure: Often PresentTask Definition: Well DefinedLocation: KnownReplenishment: Often Not PossibleApplications: Towards an Environment

    Human-Centric to Human Supervised Computing

  • Characteristics of Sensor Devices

    Array of Sensors: Temperature, Pressure, Light, Acoustic, Motion Detectors etc.Non-replinishable Energy - CurrentlyLess than 4 KB of memoryNo Persistent StorageProcessing Capacity: 4 MHz to 20 MHzCommunication Radius: Few Tens of Feet

  • Berkeley Motes-weC Mini Mote19.1 Kbps 20m RangeLight SensingTemperature Sensing4 MHz 3.0 V8 Kb Program Memory512 b Data MemoryAvailable from: CrossBow Inc. $900 for a complete kit.

  • Application AreasMilitary EnvironmentsSurveillance information/Reconnaissance MissionsBio-medical SensingMonitoring of conditions inside human bodyLess Accessible environments like large Industrial Plants and Aircraft InteriorsSmart Spaces Smart Offices and Rooms, Rock Concerts

  • Research Areas in Sensor NetsHardware ResearchPractically deployable devicesSmart DustNetworking ResearchEnergy-aware routing protocolsData Management ResearchEnergy-aware data propagation schemesData Fusion and analysisSoftware Engineering ResearchPlatforms for building sensor applications

  • MagicWeaverWhy ?Thesis in Sensor NetsData Management Key FocusResearch is recently spurredWhat ?Simulation Framework For Sensor NetworksMulti-agent system modeling sensor nodes and its actionsSoftware API for incorporating various models

    Lets Weave Magic

  • Course of ExecutionInitial Work planTo Understand various data propagation schemesSPIN, Directed Diffusion, Flooding and GossippingTo gain further insights into the domainSystem BuiltFramework for SimulationModels in Sensor Networks

    Final Link is Yet to be Established

  • Related WorkSensorSimClosest it can get NS-2 Mobility and Wireless Extensions + Sensor Network ExtensionsSensorWareMiddleware for Mobile Code SupportSlew of Work in USC/ISI, UCLA, Berkeley

  • Overview of MagicWeaverAgents-Sensors High Degree of CorrelationHeterogeneity of Algorithms Warrants a Flexible frameworkAbstracts Models pertinent in Sensor NetworksRuntime Environment for execution under the purview of User-Defined models.Object-Oriented Model DefinitionsJava + JADE

  • Towards a FrameworkAgent FrameworkTasking & Task ModelEnvironment ModelDevice &Cache ModelData Propagation ModelMotes, LRRRandomTemp,PresMotion, SoundFloodingLocation & Clustering Model(X,Y)-Distance BasedBase Station ModelData Format

  • Agent ComponentsLoggerNetwork Topology AgentBase Station AgentEnvironmental AgentSensor Agent

  • Design of a Sensor AgentDCLDPDLSTLControllerIntrospector


    Agent PlatformDCL: Device Constraint Layer STL: Sensor Tasking LayerDPDL: Data Propagation Definition LayerNT:Network Topology

  • Interaction PatternGet Locations(SA To NTA)Compute Neighbors, AssignBS,EA (NTA To All)Start SensingSA to EASend Sensed /Forwarded DataIf BS ConSend to BSAnalyze DataN

  • Sensor Agents Network ViewBase Station AgentNetwork Topology AgentLoggerEnv AgentsSensor Agents

  • Facts Used in the SimulationEnergy is spent while receiving, transmitting and waiting to receive wirelesslyEnergy is spent while doing the sensing task(s)Energy is spent while forwarding messages (agents acting as routers)Energy is spent while switching tasks Only a few nodes have base station connectivity

  • UtilitiesSensorView Graphical Tool for displaying the view of the sensor networkBaseStation View Graphical Tool for displaying the data received at the base station.JADE Sniffer/RMA

  • Discussion

    Complete Modular DesignComplexity left to the Sensor Network DesignerRuntime environmentAgent paradigm completely abstracted out

  • Further Work Implementation of data propagation schemesGossiping, SPIN, Directed DiffusionQuery Tool for Node QueryingModels of failure-prone nature of nodes and loss-prone nature of wireless linksDynamic switching of tasking policyIn-built support data analysisDesign of Test-bed for experimental evaluationOn what basis do we compare the schemes implementedHow do you actually carry out the simulation to get the results you want to measure

  • What Did I Gain?Sound understanding of the domain of sensor networksMore useful insights into JADE based agent programming Prospective area of further work Towards Masters thesis

    Complete Satisfaction