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Sensor Networks by K. Subrahmanya Sreshti (05IT6004)

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Presentation on theme: "Sensor Networks by K. Subrahmanya Sreshti (05IT6004)"— Presentation transcript:

1 Sensor Networks by K. Subrahmanya Sreshti (05IT6004)
Under the Guidance of Prof. Shamik Sural School of Information Technology Indian Institute of Technology, Kharagpur.

2 Presentation on Sensor Networks
Technical Terms SINA – Software Information Network Architecture. Beacons. TinyOS – Tiny Micro-threading Operating System. SPIN – Sensor Protocols for Information via Navigation. 9/17/2018 Presentation on Sensor Networks

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Contents Introduction Overview of Architecture and Operating System Energy Efficient methods Localization Routing Applications (Some systems which make use of sensor networks) Sensor Network simulators Conclusion 9/17/2018 Presentation on Sensor Networks

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Introduction Definition: Sensor networks are dense wireless networks of small, low-cost sensors, which collect and disseminate environmental data. Used for monitoring and controlling of physical environments from remote locations with better accuracy. 9/17/2018 Presentation on Sensor Networks

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Introduction (Cont…) Earlier sensor networks… Now, sensor networks… Why distributed, wireless sensing??? Closer placement. Depends upon: Dense Deployment. Co-ordination among the nodes. 9/17/2018 Presentation on Sensor Networks

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Features Local Processing. Wireless Communication. Complete system on Chip. Integrated Low-power communication. Integrated Low-power transducers. 9/17/2018 Presentation on Sensor Networks

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Focus Is On… Energy and computational constraints. Energy Efficiency. Localization algorithms. Routing. 9/17/2018 Presentation on Sensor Networks

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2. Architecture Characteristics: Small physical size and low power consumption. Concurrency intensive operation. Limited physical parallelism and controller hierarchy. Diversity in design and usage. Robust Operation. Sensor Information Networking Architecture – A middle ware. Issue queries and command tasks into. Collects replies and results from. Monitor changes. Hierarchical Clustering. Attribute-based naming. Location Awareness. 9/17/2018 Presentation on Sensor Networks

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2. Architecture (Cont…) Data sheets. Sensor Query and Tasking Language (SQTL). Interface between sensor application and SINA middleware. getTemperature, turnON, isNeighbor, getPosition, tell, execute, etc. Event handling: Receive, every, expire. Software Execution Engine ( ALL, NEIGHBORS, etc ) 9/17/2018 Presentation on Sensor Networks

10 Information Gathering
Sampling Operation (Adaptive Probability Response). Self-Orchestrated Operation. Diffused Computation Operation. Internetworking between a Mobile User and Stationary Network. Tracking the mobile User. Progressive footprint chaining. 9/17/2018 Presentation on Sensor Networks

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2. Architecture (Cont…) Hardware Organization. Processor and co-processor. Provide interfaces to sensing devices (light, temperature, etc). Designed to work in three different modes (idle, power down, power save). Three leads available. Power Characteristics. Why an OS? Requirement of an OS which can perform the tasks. Effective usage of hardware. Support concurrent-intensive operation. Unused CPU cycles are spent in sleep mode. Achieve robustness. 9/17/2018 Presentation on Sensor Networks

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2. Architecture (Cont…) TinyOS design. Event modeling. A stack based threaded approach. Two level scheduling. Components. Set of command handlers. Set of event handlers. An encapsulated fixed size frames. Bundle of simple tasks. 9/17/2018 Presentation on Sensor Networks

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9/17/2018 Figure 1: Presentation on Sensor Networks

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3. Energy Efficiency Computing Subsystem. – microprocessor. Communication subsystem. – radio. Sensing subsystem – sensors and actuators. Power Supply – consists of a battery. Solution. Develop methodologies which are energy aware. Distribution of traffic. Residual Energy Scan (eScan) – by Younggang Zaho. 9/17/2018 Presentation on Sensor Networks

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4. Localization Nodes are in general deployed into an unplanned infrastructure (no priori knowledge). Problem of estimating the spatial co-ordinates is referred to as Localization (generally done by trilateration). Initial high-level nodes (beacons) broadcasts their address. (Proximity based Localization). Multilateration (iterative process). 9/17/2018 Presentation on Sensor Networks

17 Trilateration/multilateration
B A A B C 9/17/2018 Presentation on Sensor Networks

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4. Localization (Cont…) Fine – grained. Timing. Signal Strengths. Signal Pattern Matching. Pre-scanning takes place. A central system assigns a unique signature to each square in the location grid. Coarse – grained. Proximity based Localization. Nodes should adopt themselves to avoid to available reference points. Connectivity metric=(tot. no. of signals received)/(tot. no. of signals sent). Node’s position is calculated by centroid of all reference points. 9/17/2018 Presentation on Sensor Networks

19 Suggested Alg. For Beacons
Random Max Grid Heap (Selective Turning off BEacons) 9/17/2018 Presentation on Sensor Networks

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5. Routing Implosion Ad-hoc protocols Proactive – static: maintains a routing table. Reactive – dynamic: establishes when required. Negotiation based protocols SPIN (meta-data) : uses ADV, REQ and DATA. SPIN – PP (point-to-point) SPIN – EC (energy conservative) SPIN – BC (broadcast) SPIN – RL 9/17/2018 Presentation on Sensor Networks

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5. Routing (Cont…) Directed diffusion. Attribute-value pairs are maintained. Sink. Interest cache. Fields. Timestamp. Gradient – data rate. Duration – lifetime. Energy Aware Routing. Destination initiative reactive protocol. Multiple good optimal paths are maintained. 9/17/2018 Presentation on Sensor Networks

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6. Applications Active Badge Location System. Pin-point 3D-iD local positioning system. Intelligence department. Environmental monitoring. Military purposes. Gathering sensing information in inhospitable locations. 9/17/2018 Presentation on Sensor Networks

23 7. Sensor Network Simulator
NS –2 ; written in c++ and oTCL. GloMoSim (Global Mobile Information System Simulator); written in C and parsec. SensorSim; 9/17/2018 Presentation on Sensor Networks

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Challenges Ad hoc deployment Unattended Operation Untethered (Limited Energy resource) Dynamic Changes Ultimate Struggle System Lifetime System robustness 9/17/2018 Presentation on Sensor Networks

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Conclusion Promising applications Evolving field Scope for lots of research 9/17/2018 Presentation on Sensor Networks

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References 9/17/2018 Presentation on Sensor Networks

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Thank You 9/17/2018 Presentation on Sensor Networks


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