Rechargeable Sensor NetworksOverviewIntroductionSlide 4Slide 5Rechargeable Sensor NetworkSlide 7Slide 8Slide 9Slide 10Slide 11Slide 12Testing ScenariosSlide 14Slide 15Slide 16Simulation ResultsSlide 18Slide 19Slide 20Slide 21DemonstrationConclusionQuestions?Rechargeable Sensor NetworksIlhan Akbas and Volodymyr PrymmaUniversity of Central FloridaOrlando, FLOverview•Introduction•Rechargeable Sensor Network•Testing Scenarios•Simulation Results•Demonstration•ConclusionIntroduction•Miniaturization–Smaller sensors–Lower energy consumption•Micro-sensors–Very small devices–Limited functionality/resources–RechargeableIntroduction•Applications–Various military operations–Natural disaster monitoring/recovery–Rescue operations–Simple environment monitoring•Need for autonomous architectureIntroduction•ANSWER–AutoNomouS netWorked sEnsoR system–Developed by Dr. Olariou et al.–Self-organizing architecture•Our contribution–Addition of rechargeable sensors–Performance evaluation rechargeable vs. non-rechargeableRechargeable Sensor Network•ANSWER Architecture–Large number of micro-sensors–A number of AFNs–Single mobile node–Unique coordinate systemRechargeable Sensor Network•Dynamic coordinate system–Concentric coronas–Centered at training agent (TA)–Equiangular wedges–Self-organization–Easy clusteringRechargeable Sensor NetworkDynamic coordinate systemRechargeable Sensor NetworkCommunication schemesRechargeable Sensor Network•Coloring scheme–Coronas are further subdivided–Each node has a specific color–Colors are assigned based on signal strength–Allows for activation of nodes in subsetsRechargeable Sensor NetworkColoring schemeRechargeable Sensor NetworkMicro-sensor statesTesting Scenarios•Scenario 1–One stationary threat node•Positioned directly in the path of mobile node–200 micro-sensor nodes–6 AFNs–Mobile node•Move from top left corner to bottom rightTesting Scenarios•Scenario 2–Ten stationary threat nodes•Positioned randomly in the vicinity of the network–200 micro-sensor nodes–6 AFNs–Mobile node•Move from top left corner to bottom rightTesting Scenarios•Scenario 3–One mobile threat node•Set to move from top right corner to bottom left•Intersects the path of mobile node–200 micro-sensor nodes–6 AFNs–Mobile node•Move from top left corner to bottom rightTesting Scenarios•Scenario 4–Ten mobile threat nodes•Set to move randomly–200 micro-sensor nodes–6 AFNs–Mobile node•Move from top left corner to bottom rightSimulation Results•Metrics–Avg. failures vs. number of nodes–Avg. failures vs. mobility–Avg. energy consumption vs. number of nodes–Avg. energy consumption vs. mobility•Comparisons–Rechargeable vs. non-rechargeable nodesSimulation ResultsAvg. failures vs. number of nodesSimulation ResultsAvg. failures vs. mobilitySimulation ResultsAvg. energy consumption vs. number of nodesSimulation ResultsAvg. energy consumption vs. mobilityDemonstrationYAES ScreenshotConclusion•ANSWER–Provides reliable architecture–Better results with dense network–All scenarios had similar results•Rechargeable vs. Non-Rechargeable–Rechargeable implementation has better performance•Fewer failures•Less energy
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