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Scenario di riferimento e mappa delle presentazioni. Capitolo 4: acquisizione dei dati dal campo ( presentazione e demo 13.45-14.25). Monitoring System Architecture. Wine Transport and Distribution. Sensors used during wine transport. Wine Transport and Distribution.
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Capitolo 4: acquisizionedeidatidal campo(presentazione e demo 13.45-14.25)
Wine Transport and Distribution Vineyard Monitoring
System Requirements • Longevity • Energy harvesting • Power Management • Scalability • Single-hop networks • Multi-hop networks • Self-organization • Adaptive solutions • Data Extraction • Service-oriented Approach • Data-oriented Approach
Wireless Sensor Network • Single-hop Network • Multi-hop Network • Opportunistic Network • Mobile Gateway
Single-hop Network [PoliMi] Vineyard WSN TDMA-based communication scheme Control Center 1. Subscription 4. Data communication 2. Synchronization 3. TDMA Table update notification 5. Remote transmission 3 Gateway Node Data Server 1 2
Solar Energy Harvesting [PoliMi] Maximum Power Point Tracker (MPPT) Control action based on a 8 bit control CPU running on a single 32kHz clock (20uA) Drivers for providing the incoming power and storage devices voltage Storage mean NiMH battery
Gateway Node with MMPT [PoliMi] Node-to-node transmission unit Long Range Radio Sensorial control Energy harvesting board
Multi-hop Network [UniPi] • Goal • Long Lifetime Energy conservation at sensor nodes • Minimize (radio) energy consumption at sensor nodes • Potential solutions • Extend the TDMA approach to multi-hop • Limited scalability, limited flexibility • Low-power MAC protocol • Not available in any sensor node platform • Envisaged Solution • Adaptive sleep/wakeup strategy • Nodes adapt their activity to the actual operating conditions • Coordination between node required
Multi-hop Network [UniPi] i j k l • Adaptive Staggered Sleep Protocol (ASleeP) • Nodes autonomouslyadapt their active period • Based on local measurements • Coordination between nodes based on Beacon messages
Mobile Gateway [UniPi] • Opportunistic Data Collection • Energy-Efficient Discovery of Mobile Gateway • Energy-Efficient and Reliable Data Transfer
Optimal Design of WSNs [PoliMi] • Tools for Design Optimization • Developed within the project • Design/Planning • Given a set of events and some constraints/goals, discover the optimal sensor deployment capable to identify such events while minimizing user-controlled goal functions • Sensitivity Analysis • Evaluation of the impact of variations in sensors, environment and network conditions, onto the performance of the WSN.
Data extraction • Service-oriented approach • Data-oriented approach
Service-oriented Approach [S. Anna] • Service Agreement • application processes can establish a service agreement with the underling WSN • Defined Service Agreements • Periodic Measurement agreement • used to periodically measure a certain physical quantity (e.g., temperature); • Event Monitoring agreement • used to monitor specific events (e.g., temperature exciding a given threshold); • Network Management agreement • used to manage and control the WSN behaviour.
Data-oriented Approach [PoliMi] • The WSN is regarded as a database • Data extraction through queries • PerLa (Pervasive Language) • Low Level Queries • used to access data produced by sensor nodes • periodic and event-triggered data extraction supported • High Level Queries • used to perform data manipulation operations • Actuation Queries • used to set parameters at sensor nodes (e.g., for modifying software variable).
Demonstrations • Service-oriented Data Extraction • Query-based Data Extraction • Data extraction • Power Management • Self-organization